Advanced Analytics Resume Samples

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FS
F Schoen
Freeman
Schoen
21598 Anastasia Divide
San Francisco
CA
+1 (555) 141 5807
21598 Anastasia Divide
San Francisco
CA
Phone
p +1 (555) 141 5807
Experience Experience
03/2014 present
Dallas, TX
Manager of Advanced Analytics
Dallas, TX
Manager of Advanced Analytics
03/2014 present
Dallas, TX
Manager of Advanced Analytics
03/2014 present
  • Customer profiling, segmentation, and other customer classification analysis
  • Value scoring and predictive modeling
  • Given a business problem, structure and estimate analytical solutions (e.g. marketing mix models, response models, demand models, optimization solutions) to answer the business question
  • Collaborate with client and internal consulting teams to set analytic objectives, approach, and work plans
  • Continuously support improving effectiveness of activities including timelines, tools & methods
  • Develops recommendations for improving database design and data capture mechanisms
  • Communicate analytical modeling results to non-technical marketing/business executive decision makers and internal consulting teams
05/2007 02/2014
Detroit, MI
Analyst, Advanced Analytics
Detroit, MI
Analyst, Advanced Analytics
05/2007 02/2014
Detroit, MI
Analyst, Advanced Analytics
05/2007 02/2014
  • Developing advanced analytics solutions to drive marketing and campaign strategies
  • Developing expertise in digital marketing and data science
  • Developing SAS code to querying databases, perform analysis and automate reporting processes
  • Developing strong competence with multiple statistical, analytical and data management tools
  • Applying quantitative methods to analyze and interpret high-dimensional datasets and to support media planning and optimization efforts
  • Processing and integrating disparate, user-level datasets to provide a unified view of the consumer
  • Collaborating with internal and external clients to establish clear business and measurement objectives
04/2002 03/2007
New York, NY
Advanced Analytics
New York, NY
Advanced Analytics
04/2002 03/2007
New York, NY
Advanced Analytics
04/2002 03/2007
  • Manage the performance management for the direct reportees, as per the organization policies
  • Manage client’s expectations and work with team in developing the analytical solution
  • Manage large teams and/or work efforts
  • Familiarity with SAS Enterprise Miner, SAS CI, Model Manager, Scoring Accelerator, and Forecast Server will be considered an added advantage
  • Foster teamwork and lead by example
  • Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making
  • Recruit and build a team of talented data engineers, architects and technical product managers
Education Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
University of South Florida
Bachelor’s Degree in Statistics
Skills Skills
  • Ability to design and deploy solutions that are highly available, scalable and extensible
  • Excellent note taking and documentation skills - attention to detail is key
  • Should have hands-on experience in handling large datasets and should be familiar with models using—linear regression, logistic regression, ANOVA/ANCOVA, optimization techniques, time series modelling, segmentation, decision tree, clustering and simulation based analysis
  • Should have basic understanding of databases and should be able to perform Sql queries while applying appropriate sampling criteria for data extraction purpose
  • 5+ years of of related architectural and deep technical consulting experience in Enterprise Data Warehousing, Machine Learning, Business Analytics working with SQL Server, Azure, and other Microsoft technologies or competitive offerings such as Tableau, Tibco, R, SAS, Mathlab, Microstrategy, Alteryx
  • 5+ years of recognized and rewarded district, national, or global selling software solutions to large enterprises - particularly Advanced Analytics and Big Data
  • Strong sense of self-motivation, organization and attention to detail
  • Proficient knowledge in designs practices including OLTP, reporting, and OLAP; big data processing and analytic technologies including Hadoop, R, and stream processing; standard and ad hoc reporting solutions; ETL and MDM data management tools
  • Excellent business communication, Consulting, Quality process skills
  • Excellent verbal and written communication skills
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1

Manager of Advanced Analytics Resume Examples & Samples

  • Customer profiling, segmentation, and other customer classification analysis
  • Value scoring and predictive modeling
  • Given a business problem, structure and estimate analytical solutions (e.g. marketing mix models, response models, demand models, optimization solutions) to answer the business question
  • Develop and implement statistical tools to support client?s marketing decision making needs
  • Translate analytical model results to business insights for the client
  • 5-10 years of experience and a proven track record in advanced marketing analytics with a consulting firm, agency or client organization
  • Strong theoretical and practical knowledge of analytical techniques like mix modeling, predictive response modeling, sales response modeling, experimental design, CART/CHAID, latent class segmentation, cross-sectional and time series analysis, discrete choice modeling, data mining, optimization techniques
  • Demonstrated experience in translating analytical model findings to business insights and communicating them to non-technical audiences
  • Experience developing and implementing statistical solutions for use in the automation of marketing decisions preferred
  • Hands-on expertise working with statistical software like SAS to estimate models Recruiter: Jamie Bernard
2

Analyst, Advanced Analytics Resume Examples & Samples

  • Developing advanced analytics solutions to drive marketing and campaign strategies
  • Cleaning and processing large structured unstructured data sets from multiple data sources to glean insights and identify opportunities for targeting and optimization
  • Developing SAS code to querying databases, perform analysis and automate reporting processes
  • Data aggregation and processing
  • Verbal reasoning and communication skills
  • Analytical writing
  • Bachelor’s degree in quantitative field (math, statistics, engineering)
  • Statistical analysis programming skills (SAS--strongly preferred)
  • Familiarity with advanced analytics techniques
  • Basic SQL and other querying languages
  • Exposure to site & other digital analytics tools (Adobe Omniture, Google Analytics)
  • Visual presentation of data through BI (SAS, Hyperion, Tableau) tools
  • Hadoop would be a plus
  • 1+ years of business experience working with SAS or other statistical software packages
3

Advanced Analytics Internship Resume Examples & Samples

  • Support team with data extractions, analysis, reporting, and data presentation
  • Suggest new ways to improve existing processes
  • Document and automate data and business processes
  • Experience in analytical field
  • Knowledge in MySQL and/or other programming languages
  • Knowledge of the digital environment and analytics
  • Post-graduate status
4

Advanced Analytics Resume Examples & Samples

  • 5- 8 years of related work experience
  • Strong understanding of risk management and business strategies/actions and portfolio performance implications
  • Understanding of the entire credit life-cycle within a credit card environment
  • Demonstrate analytic and project management skills
  • BA or BS required; MBA or PhD, with a concentration in Statistics, Mathematics, or other quantitative discipline strongly preferred
5

VP, Advanced Analytics & Measurement Resume Examples & Samples

  • Identify and create opportunities for audience measurement beyond syndicated research
  • Manage and enhance existing analytical projects
  • Pursue new sources of raw data, facilitate information into applications
  • Expand existing suite of databases into more user friendly, efficient tools
  • Manage technical integrations of audience data into internal resources, working across departments
  • Build strong relationships across research teams to communicate industry changes and advancements in analytics
  • Assist with the professional growth of current and future team members
  • Educate research groups in advanced data applications and usage
  • 12+ years of experience in a quantitative environment
  • Experience in advanced statistics such as modeling, sampling
  • Fluent in SAS and SQL programming
  • Knowledge of analytical tools such as R, Python, etc
  • Excellent applied understanding of different types of databases
  • Strong collaboration skills, including superior verbal and written communication
  • Self-motivated, creative and able to work as part of a team
  • Must be an experienced and effective manager of people and projects
  • Experience in providing strategic approaches and recommendations
  • Passionate about media, pop culture and large data sets
  • Possesses a natural curiosity about media trends and the future of measurement
6

VP, Advanced Analytics Resume Examples & Samples

  • Provide vision, guidance and leadership to the ATC analytics, reporting, and insights community which includes enterprise analytics, advanced analytics, product and site analytics, consumer analytics, and marketing analytics; customer reporting and business reporting (non-financial); and customer insights generation and story creation
  • Develop and build an advanced analytics organization that is able to execute on progressive analytical strategies across all platforms
  • Assess vendor relationships related to advanced analytical tools, technology and data acquisition aggregation and curation
  • Partner and consult with ATC leadership, functional teams, and key contacts across the Media Division, Technology, and Cox Automotive to identify advanced analytics opportunities and how they can be leveraged to answer critical business and customer questions and used to support growth for customers and ATC
  • Work with teams to drive and develop strategic vision for advanced and predictive analytics, insight generation, business and customer reporting
  • Establish ATC’s Analytics operating model; implement tools and software required to meet the analytics needs of the business; build advanced analytics capabilities that enable ATC to become more predictive and prescriptive vs. descriptive and reactive
  • Position ATC for consistent processes to ensure an accurate version of the “truth” across teams and across our customers
  • Oversee development and implementation of predictive and advanced statistical methods; establish governance process and accountabilities. Supervise ongoing predictive model management; develop best practices around optimal model refresh and re-estimation
  • Ensure the team delivers actionable insights from all data sets
  • Oversee all business and customer reporting and ensure necessary analytics and reporting tools are in place and automated to the greatest extent possible
  • Work with analytics team to develop key model performance indicators (e.g. predicted vs. actual metrics and tracking changes to key variable coefficients), and re-specify methodology when required
  • Refine and own core set of KPI’s to run the business
  • Work with the Cox Automotive Technology data management team to ensure data structural design and external data requirements
  • Partner to align to Cox Automotive in support of strategic initiatives
  • Travel up to 20% by land and/or air
  • 10+ years of managerial experience in positions with increasing responsibilities required
  • 12+ years of experience performing advanced quantitative and qualitative analysis
  • Prior web analytics experience, as well as traditional business intelligence experience
  • Able to effectively communicate, present relevant conclusions, and recommendations and explain complex analysis to executives. Able to make effective and persuasive speeches and presentations on controversial or complex topics to top management, public groups, and/or boards of directors
  • Ability to manage multiple complex projects while meeting all deadlines, and manage people to achieve optimal results
  • Exceptional analytical abilities; able to direct analyses to quantify the impact of external factors on modeled results; able to direct and perform complex quantitative and qualitative analysis. Ability to analyze and interpret the most complex documents
  • Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, etc.,) in its most difficult phases. Ability to deal with a variety of abstract and concrete variables
  • Advanced experience in statistical software (e.g. SAS, SPSS, R)
  • Intermediate level experience with database tools (e.g. SQL Server, Netezza, Oracle, Hadoop, etc.)
  • Able to effectively utilize complex computer operations (intermediate programming in 3rd and 4th generation languages, relational databases, and operating systems) and advanced features of software packages (word-processing, spreadsheet, graphics, etc.)
  • Experience leading a centralized and evolved analytics function
  • Master's degree (M.A.) or equivalent; or equivalent work experience
7

Advanced Analytics Student Resume Examples & Samples

  • First or second year student currently pursuing a Bachelor of Science degree majoring in Computer Science, Software Engineering, Computer Engineering, Industrial Engineering or Information System Engineering
  • Students in advanced degrees with experience in Data Mining, Text Mining, Predictive Analytics, Algorithms or advanced Math is an advantage
  • High degree of initiative is an advantage
  • Excellent communication skills and strong team players
  • The position is in Jerusalem or Kiryat Gat
8

Analytics Practicum Optimization & Advanced Analytics Resume Examples & Samples

  • Currently enrolled as a student at the University of Illinois, Urbana – Champaign
  • Applicants must a minimum cumulative Grade Point Average of 3.0/4.0 scale (no rounding)
  • Demonstrated knowledge or aptitude of statistical, data mining or visualization tools
  • Experience with SAS, Python, R, SPSS, Minitab, Tableau, Hadoop, C++, C#, Java or similar tools
9

Analyst, Advanced Analytics Resume Examples & Samples

  • Bachelor’s degree in quantitative field (e.g. statistics, economics, engineering, etc.) required
  • Basic knowledge of relational databases and 1-2 years hands-on experience gathering, manipulating, and analyzing large sets of data
  • 1-2 years SAS or SQL programming experience
  • Proven ability transforming data to create a story using Excel (i.e. vlookups, nested formulas, conditional logic, pivot tables, dropdowns and macros), PowerPoint, Tableau, etc
  • Demonstrates a collaborative work style with the ability to partner with a diverse set of professionals
  • Exceptional writing and presentation skills
  • Basic knowledge of statistical methods for experimental design and modeling preferred
  • Previous experience designing measurement and analytic plans preferred
  • Familiarity with customer and/or digital data and analytics a plus
  • Knowledge of unstructured data analyses approaches a plus
  • Familiarity with web analytics tools such as Omniture, Coremetrics or Google Analytics a bonus
10

Senior Advanced Analytics Manager Resume Examples & Samples

  • Cross-sell & Up-sell Propensity Models: Drive cross-sell & up-sell propensity models with global Sales & Marketing teams. Collaborate with the Data Sciences Team on developing account propensity models; driving improvements in Sales prospecting efficiencies and incremental increases in revenue
  • Segmentation & Targeting: Collaborate with global Sales & Marketing teams on developing actionable segment profiles. Develop new segmentation & targeting approaches that improve VMWare’s ability to target the right customers with the right solution at the right time. Develop prescriptive analytic optimization models that help grow the value of customers through improved new customer acquisition, cross-sell and increased product adoption
  • Leadership & Communications: Help formulate & gain stakeholder support for innovative analytic solutions to business opportunities and challenges. Work collaboratively with global executive stakeholders & team members, other analytics teams and external consultants in developing the most effective analytic solutions for Sales & Marketing. Function as a senior member of the team and assist others in ensuring quality deliverables, and help grow the advanced analytics skills of other team members, both in the US and abroad
  • Analytic Experience: 8-10+ years of hands-on experience (or sufficient educational background) using advanced analytics techniques to solve Sales & Marketing business problems, such as cross-sell propensity models, next-likely purchase and cluster segmentations. Hands-on experience translating raw data into analytic data sets, as well as a working knowledge of logistic regression, tree-based methods, clustering etc. Experience with one or more of the primary advanced analytics tool-sets, such as SAS, R etc. Demonstrate a successful track record of working with stakeholders on identifying strategic and operational analytic needs. Demonstrate ability to develop analytic solutions that are actionable (from a business perspective) & deployable (from a systems perspective)
  • Education: advanced degree in statistics/data sciences or related fields is preferred (or equivalent on-the-job experience)
  • Communication: Excellent business & technical communication skills, both verbal and written. Proven track record of explaining advanced analytics concepts to non-technical audiences and gain support for new initiatives. Ability to interact and communicate effectively with individuals/groups at all levels within the organization, both local and global. Experienced in presenting information to business stakeholders
  • Personal: Strong project management and organizational skills. Ability to handle complex projects in a multitasking environment, effectively prioritize ones time, manage expectations and deliverables. A self-starter, who proactively drives projects, looks for new and better ways of doing things, can lead and gain consensus. Shows drive, passion and a sense of ownership
  • Industry: Experience in high-tech industry or other relevant business-to-business background is preferred
11

Senior Advanced Analytics & Modelling Engineer Resume Examples & Samples

  • Partner with business leaders and stakeholders in various functional groups (e.g., manufacturing, engineering, quality assurance, supply chain planning, materials management, procurement, logistics) to identify analytics application opportunities
  • Develop and deploy Operations Research (O.R.) optimization models, simulation, statistical and data mining analysis to effectively support data-driven decision making and achieve significant business improvement
  • Independently lead/support multiple O.R. modeling projects as required. Manage and execute project activities throughout problem framing, data collection, model development, testing, deployment, results tracking and continuous improvement phases
  • Ensure on-time delivery of technical solutions that meet business needs, and manage business partner satisfaction relative to deliverables. Provide end user training on the mathematical models and decision support tools to ensure proper adoption and sustained use of the solutions
  • Conduct industry benchmarking and literature review on best practices in O.R./advanced analytics deployment. Support analytics strategy development
  • Provide subject matter expertise and focused training sessions in advanced analytics & modeling to technical staff. Learn and share best practices with colleagues
  • Provide written and verbal communications such as business cases, project progress reports and documentation to management and business partners
  • Must hold a Bachelor's degree in Operations Research, Industrial Engineering, Statistics, Management Science or other related quantitative disciplines. A Master's or Ph.D. degree in these fields is strongly preferred
  • Must have 9+ years (with Bachelor's degree) or 7+ years (with Master's degree) of industry experiences in successfully deploying O.R. mathematical models & advanced analytics in operations and supply chain areas
  • Must have strong technical competency and hands-on skills in developing optimization models (e.g., LP, NLP, MIP, QP) and decision support tools using at least one of these software packages: Risk Solver Platform, AIMMS, VBA, C++, GAMS, AMPL, CPLEX, Lingo
  • Experience with simulation software (e.g., Arena, Crystal Ball, Risk Solver Platform) is strongly preferred
  • Must have strong data manipulation and analysis skills. Hands-on skill with databases (e.g., Access, SQL Server, Oracle), SQL query, and Excel Pivot Table is required
  • Experience with statistical analysis, data mining, and predictive modeling is preferred. Working knowledge of at least one statistical software package (Minitab/SAS/SPSS) is preferred. Familiarity with predictive modeling algorithms (e.g., regression, CART, MARS, neural networks) is a plus
  • Must have strong project management, leadership, presentation, communication, and business partnering and collaboration skills
  • Background in manufacturing, supply chain management and system deployment is preferred
  • Experience in Six Sigma and Lean is a plus
  • Must be proficient with Microsoft office programs
  • Self-motivated, organized, energetic, results-driven and a fast learner. Able to multi-task
12

Advanced Analytics Professional Resume Examples & Samples

  • Experience in Data Visualisation methods and tools like D3Js, DoJo etc
  • Working knowledge of Python scripting and programming
  • Strong teaming, interpersonal and communications skills
  • At least 5 years experience in Data mining, statistical modeling or optimization projects using tools such as SPSS, SAS, iLog
  • At least 5 years experience in working on a variety of advanced analytics projects with good understanding of the different stages of an analytics project
  • At least 2 years experience in working with databases, data mapping, data validation and data transformation
  • At least 5 years experience in Develop Insights from Analysis
  • At least 5 years experience in Perform Requirements Identification and Analysis
  • At least 5 years experience in Perform Analysis Technique
13

Advanced Analytics Resume Examples & Samples

  • Act with superior customer focus in mind as an integral member of the Microsoft sales teams in generating excitement to fill sales pipeline, accelerate technical sales cycle and secure technical closure using deep technical expertise in the core domain as well as in adjacent technologies, serving as interface between the customer and both Microsoft Consulting Services (MCS) and partners, positioning scope and guiding them on the development of optimal technical solutions to improve the customer’s business
  • Provide pre-sales technical and architectural support, translating customer’s requirements, to enable customers, MSFT services and partners to assist in technical objection handling, architecture, demonstrations, deployment and consumption guidance of the Microsoft Data Platform and Cloud technologies and corresponding solutions (both 1st and 3rd party solution for Business Analytics and Modernization/Migrations scenarios)
  • Own and drive technical aspects of pre-sales opportunities from lead generation through to deployment and consumption by driving technical presentations, demonstrations, Architectural Design Sessions, Proof of Concepts and Pilots, leveraging partners or MCS as needed
  • Assist customers with running assessments to gain knowledge of their environment to support optimization and opportunity identification for upgrade, migration, consolidation. (Microsoft Assessment and Planning Toolkit (MAP) or other platform mapping tools)
  • Demonstrates the business value of related solutions based on an understanding of the customer’s enterprise IT architecture, customer Business priorities and the competitive landscape
  • Maintain strong relationships with account team members, serving as the technology data platform subject-matter expert (SME) within these accounts and assigned geography
  • Maintain and expand technical and sales skills, deployment, consumption capabilities as well as relevant industry, competitive, and market knowledge - mobile, social, cloud, big data, video and unified communications
  • 5+ years of recognized and rewarded district, national, or global selling software solutions to large enterprises - particularly Advanced Analytics and Big Data
  • 5+ years of of related architectural and deep technical consulting experience in Enterprise Data Warehousing, Machine Learning, Business Analytics working with SQL Server, Azure, and other Microsoft technologies or competitive offerings such as Tableau, Tibco, R, SAS, Mathlab, Microstrategy, Alteryx
  • 4+ year (s) of experience with Hadoop and Big Data Architectures (Hadoop, Hortonworks, Cloudera)
  • Superior presentation skills with strong written and verbal communication skills for a variety of customer roles / level to influencing for impact
  • Exceptional problem-solving and critical thinking skills leveraging internal and external resources when needed to drive for results
  • Consultative/solutions sales experience
  • Experience working with and within large, complex teams
  • You will interact with all levels of management and will be extremely technical with an outgoing personality
  • Excellent note taking and documentation skills - attention to detail is key
  • Bachelor’s degree in Computer Science or a similar information technology related discipline
  • Preferred additional training in sales, business or marketing
  • Preferred certifications
14

Advanced Analytics Solutions Resume Examples & Samples

  • Experience with Hadoop environment, Pig, Hive, Map Reduce programing, other Hadoop services
  • Experience working with Visualization software such as Tableau, QlikView or Spotfire
  • Advanced Java certification (Enterprise Architect/Solutions Architect) or equivalent experience
  • Experience with real time and near real time Analytics in Hadoop environment
  • Experience with Apache Spark, Storm, Flume, Kafka and Solr
  • Prior experience working in automotive or closely related industry
  • Tools: Hbase, Cassandra, MongoDB, GreenPlum, Talend or Pentaho
15

Innovation Engineer Advanced Analytics Resume Examples & Samples

  • Monitor and get a deeply rooted understanding of the global analytics technology market (including consumer), raising awareness on innovations and trends that the Enterprise could take advantage of
  • Rapidly familiarize yourself with these technologies and learn how to apply them
  • Generate ideas how new and existing analytical capabilities can be incorporated into all aspects of EY’s operations to improve the user experience of our praticioners
  • Develop concepts and innovative analytical models and bring them to live in close collaboration with our experimental prototyping labs
  • Proven track record for having successfully influenced technology innovation of a large, multinational company though analytical solutions
  • Significant understanding of advanced analytical capabilities and how to apply them
  • Self-propelled, individual contributor with strong team skills
  • Strong focus on User Experience
  • A strong working knowledge of Mobile Technologies including Mobile Enterprise Manamgenent approaches
  • A strong working knowledge of mobile application development approaches including web, hybrid, native and others
  • Hands on experience in developing mobile Solutions for multiple platforms
  • Experience with working with SPSS, Spotfire, tableau and major NoSQL solutions
  • Strong tolerance for ambiguity
  • Quick learner with “can do” attitude
16

Analyst, Advanced Analytics Resume Examples & Samples

  • Provides timely, detailed and effective written and verbal communication on the status of design activities, risks and complex process administration
  • Independently possesses the ability to diagnose complex situations into manageable parts
  • 40%: Partner with Direct Marketing/CRM and Loyalty Marketing teams to analyze business needs and recommend analytical methodologies from statistics, business intelligence or other analytical discipline to achieve business objectives
  • 20%: Perform advanced statistical concepts and applications such as logistic and linear regression, CHAID segmentation, parametric and non-parametric methods, clustering techniques and simulation to support answering challenging business questions
  • 25%: Manage the measurement of loyalty and CRM performance on a daily basis and synthesize observations into dashboards and scorecards
  • 5%: Identify, source and manage vendors necessary to complete assigned projects within desired time frames
  • 5%: Partner with the Information Services department to build, maintain and ensure the accuracy of the customer database as well as the analytical and campaign management software environments
  • 5%: Responsible for other duties as assigned or developed
  • Bachelor’s degree in Statistics, Economics, or Computer Science. Master’s Degree or MBA with emphasis in a quantitative discipline preferred
  • Minimum 5 to 7 years in advanced analytics and presenting actionable customer insight in a database marketing or retail environment
  • 1 to 3 years of retail industry experience preferable
  • Able to demonstrate advanced computer and analytical skills with particular knowledge and understanding of analytical technologies such as
  • Statistical analysis software (SAS, SPSS, Etc.)
  • Reporting Tools (MicroStrategy, Cognos, Business Objects, etc.)
  • Computer interfaces, relational databases, and database management and organization
  • Working knowledge of SQL a plus
  • Strong analytic skills with experience in statistical modeling and analysis
  • Proficient with Excel, PowerPoint
17

VP, Enterprise Advanced Analytics Resume Examples & Samples

  • Enterprise Analytics roadmap and delivery
  • Advanced big data analytics
  • Client acquisition, consolidation, and retention predictive modelling
  • Client segmentation analytics support for strategic client segments
  • Development of data monetization services
  • Lead in absence of the Senior Vice-President, by providing executive representation to continue to lead the business to maximize employee, client and business results
  • Provide leadership and effective management of business unit staff to influence employee commitment to the organization, to the team, and to their job by
  • As a manager of people, this job must ensure all employees within the business unit comply with all applicable CIBC and Line of Business policies, standards, guidelines and controls
  • University degree, MBA, Finance designation or B.S./M.Sc. in quantitative disciplines such as Statistics, Applied Science/Math or Engineering
  • Product or Portfolio Management knowledge and experience
  • Expert in analytical tools such as R, SAS, Mat lab, including the ability to develop code and train others on these techniques
  • Experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, MapReduce, Hive)
  • Strong analytical and problem-solving skills to develop unique solutions to complex and abstract issues and to provide interpretive advice to business and functional leaders
  • Ability to think and analyze strategically and conceptualize ideas in a creative manner
  • Strong influential/negotiations skills sufficient to recognize and respond to concerns of multiple interests and to lead/shape the decision making process in situations that involve complexity and ambiguity
  • Well-developed communication and relationship management skills to convey technical information in understandable terms; superior blend of consulting and analytical skills
  • Ability to interpret complex quantitative information to draw meaningful conclusions
  • Flexibility to adapt to and lead in an evolving environment with shifting priorities
  • Solid project management and demonstrated ability in the successful delivery of large, high impact and multi-faceted projects
  • Strong management/leadership skills to lead and motivate a high performing, professional and diverse workforce
  • Comprehensive knowledge of financial services
  • Excellent interpersonal, communication, and presentation skills with proven track record in documenting insights and influencing action through effective presentations
18

Assistant VP-advanced Analytics Resume Examples & Samples

  • The successful candidate will be responsible for developing, analyzing and executing Big Data ideas and initiatives designed to achieve business growth & loss mitigation goals
  • Strong analytics/predictive modeling experience
  • Strong programming skills in Python/R
  • Hands-on exposure of working with the Big Data stack: Hadoop MapReduce, Pig, Hive, Impala, HBase, Mahout, Spark, Storm
  • Graph Theory, and/or
  • Machine Learning algorithms, and/or
  • Programming skills in SAS and SQL
19

Director, BIA Advanced Analytics Resume Examples & Samples

  • Work with business analysts and business owners to define analytical requirements to address business problems and challenges. (20%)
  • Leverage data discovery tools to explore internal and external raw data sets. (20%)
  • Provide assessments of data quality, data completeness, and data usability in the context of analytics. (10%)
  • Assess data needs and work with the Enterprise Data Management group to enable the data management changes required to enable analytics and discovery. (5%)and financial decisions for the company
  • Deploy advanced statistical methods to segment and analyze various elements of the business. (10%)
  • Support corporate performance management efforts by developing solutions that help uncover root causes of performance. (15%)
  • Build simulation and predictive analytics models using probability analysis to support business decision-making. (15%)
  • Participate in the company's Analytics and Reporting Development Process to efficiently identify, prioritize and develop reporting and analytics solutions for the business. (5%)
  • 8+ years experience in statistical analysis, business analysis, market research, or marketing analytics
  • Expertise in statistical packages (i.e. SPSS, SAS, R), modeling techniques and standards (such as PMML)
  • Hands-on experience with the Apache Hadoop Framework such as HDFS, MapReduce, Hive, HBase, Flume, Sqoop etc
  • Experience in managing data sets in an Enterprise-grade Data Lake
  • Analytical and innovation mindset; ability to take data analysis best practices and apply them to new areas of the business
  • Understand technical capabilities and constraints and communicate them appropriately to non-technical business users
20

AVP, Advanced Analytics Resume Examples & Samples

  • Provide oversight and governance of integrated advanced analytics strategy across TDI. Build and sustain the Advanced Analytics Centre of Excellence (AACoE) as a high-performance best-in-class team
  • Deliver legendary customer service by ensuring all advanced analytics initiatives on the team are customer centric and contribute to the long term value of the insurance business for the enterprise Advanced Analytics Centre of Excellence (AACoE)
  • Establish and sustain pan-TDI shared-service model for projects/tasks which require a high degree of technical competency in statistical/predictive modelling or data science
  • Develop and deliver predictive modelling and other advanced analytics needs for our internal clients in Sales, Marketing, Customer, GI Product/Underwriting/Rating, and L&H Products
  • Build and execute analytics component of TDI fraud strategy, Fraud Analytics System tool business subject matter expert, coordinate with Head of Fraud Strategy in relationship with enterprise fraud groups, vendors, and industry associations, Claims predictive modelling
  • Construct software systems and algorithms to explain or predict customer behavior and solve a variety of business problems
  • Direct Research & Development, building and understanding new analytical capabilities such as Geographic Information Systems, Text Mining, and advancements in Pricing sophistication. Investigate and make recommendations on new external data/tools, leverage the TD Analytics platform, model management (inventory of existing models, developing consistent process for modelling Pan-TDI)
  • Promote a culture of risk management & control by ensuring solid first line control programs are in place
  • Establish a working environment that fosters diversity and inclusion and drives employee engagement. Build for the future by developing, acquiring and motivating top talent becoming the employer of choice for Advanced Analytics
  • Manage relationships with other TD Analytics Groups and represent TDI on the TD enterprise Analytics Advisory Council
21

Senior Manager of Advanced Analytics Resume Examples & Samples

  • Manage team of highly-skilled analysts in defining and developing analytical inputs into business processes
  • Educate all levels of LS&Co. on academic analytical approaches to achieve business results using business concepts and language
  • Ensure that the Applied Analytics team is staying abreast of academic learning and technological improvements that can improve our analytics
  • Develop strong partnerships with senior leaders from various cross-functional teams to ensure that analytical work aligns to business objectives
  • Drive change-management among cross-functional partners unfamiliar with analytical priciples
  • 4 year degree required (Preference in Statistics, Mathematics or discipline with a strong math bias)
  • 5+ years relevant professional experience in data and analytics
  • 2+ years managing direct reports
  • Experience working with business intelligence systems and/or an enterprise data warehouse
  • Exceptional negotiating and influencing skills with cross-functional partners
  • Ability to develop a strategic roadmap for the team with high degree of autonomy
  • Insatiable desire to drive process improvements
  • Computer Science experience/background
22

Advanced Analytics Practice Leader Resume Examples & Samples

  • Identify, validate and drive new Advanced Analytics opportunities  
  • Leverage knowledge & experience to design Advanced Analytics solutions which best meet the client's business needs. 
  • Overlook delivery of projects within the practice to ensure smooth delivery that meets client and IBM objectives 
  • Support the delivery of Advanced Analytics projects as Lead Architect or Lead Consultant or Delivery Manager 
  • Maintain an effective business relationship with the client's management team. 
  • Support solutioning and develop value propositions for Advanced Analytics offerings targeting different markets (regional & global markets) 
  • A relevant academic background 
  • 3 years in similar consulting/ role 
  • 5 years of experience in Data Mining and Data Science role 
  • Deep understanding of Data Science including: Predictive , Statistical modeling, Data Visualization using various tools 
23

Analyst, Advanced Analytics Resume Examples & Samples

  • Use analytical models to provide strategic inputs into business processes
  • Tailor academic analytical approaches to achieve business results given real-world constraints
  • Explore and stay abreast of technological improvements that can improve our analytics
  • Partner very closely with merchandise planning and inventory management team to understand their strategic business objectives
  • 4-year degree required (Preference in Statistics, Mathematics or discipline with a strong math bias)
  • 1 – 2 years relevant professional experience in data and analytics
  • Strong analytic skills and ability to learn new concepts and software applications quickly
24

Advanced Analytics Enablement Cognitive Manager Resume Examples & Samples

  • At least 2 years of experiencein Natural Language Processing (NLP), Linguistics, Advanced Semantic Design,Visualization
  • Bachelor's Degree in Engineering, Mathematics, Emperical Statistics or 4 years equivalent
  • Willingness to travel to client locations (80%-100%)
  • AAE Cognitive Technologies Managers at Deloitte will manage and deliver components of client engagements that identify, design, and implement technology and creative business solutions for large companies
  • AAECognitive professional experience
  • Experiencedesigning and implementing Apache Open Source (Kafka, Storm, Spark) Frameworksto process end to end data management life cycle for NLP, Machine LogAlgorithms, and Text Mining algorithms
  • Abilityto work independently, manage small engagements or parts of large engagements
  • Strong oral and written communicationskills, including presentation skills (MS Visio, MS PowerPoint)
  • Strong problem solving andtroubleshooting skills with the ability to exercise mature judgment
  • Willingness to mentor junior staff
  • Experience with program leadership, governance and change enablement
  • Lead workshops for client education
  • Manage resources and budget on client projects
25

Hcra-advanced Analytics Resume Examples & Samples

  • S/he should have the ability to work independently, take personal initiative and develop working relationships with a broad base of senior managers and in many cases, represent Reporting Business unit in various Citi-wide initiatives around advanced analytics like Big Data etc
  • Pro-actively communicates with Senior HR Leadership thro’ Service Managers and independently, as needed
  • 1-3 years of work experience in SAS preferably Enterprise Guide
  • Exposure to Human Capital domain will be an add on
26

Analyst, Advanced Analytics Resume Examples & Samples

  • Delivering and communicating analytically-driven solutions centered around digital marketing to help drive results for our clients
  • Processing and integrating disparate, user-level datasets to provide a unified view of the consumer
  • Developing strong competence with multiple statistical, analytical and data management tools
  • Developing expertise in digital marketing and data science
  • Bachelor’s degree in Economics, Mathematics, Statistics, Marketing, Finance or equivalent. Quantitative graduate degree (e.g., Statistics, Applied Economics, Data Science) preferred
  • Entry-level considered. 1+ years of professional experience in a quantitative role in Analytics, Data Science, Marketing, Technology or Management Consulting preferred
  • Demonstrated interest in tackling marketing challenges through quantitative data analysis and creative problem solving
  • Demonstrated ability to communicate analytic concepts and results to technical and non-technical audiences
  • Hands-on experience with one or more of the following preferred: linear and logistic regression, discriminant analysis, dimensionality reduction, clustering, multivariate testing, text mining or complex data management and transformation
  • Familiarity with at least one of R, Python or SAS. Familiarity with SQL, Hive, Hadoop, Amazon Web Services, Linux and/or Javascript preferred
27

System Analysts Student for Advanced Analytics Resume Examples & Samples

  • First or second year student currently pursuing a Bachelor of Science degree majoring in Industrial Engineering or Information System Engineering
  • Students in advanced degrees with experience in Data Mining, Text Mining, Predictive Analytics- is an advantage
  • Capacity to work 2.5 days a week in parallel to the studies
  • Mature and independent
  • Highly and self-motivated
  • Ability to work on multiple number of tasks in parallel
  • The position is in Haifa and Petah Tiqwa
28

Specialist Advanced Analytics Services Resume Examples & Samples

  • Provides Advanced Analytics support (preparation and delivery of value-added proposition and insights) by addressing Senior Leadership Strategic requests through the use of advanced predictive/prescriptive modeling and cutting-edge visualization techniques not currently deployed by Regional Analytics teams
  • Utilizes internal and external data sources and through integration, novel data mining exploration, identification and troubleshooting of data anomalies synthesizes and derives value-added Strategic insights
  • Partners and serves as Account Managers with outsource Analytics Suppliers (Ex. OPERA, WIPRO etc.) on the delivery of Strategic Analytics projects
  • Bachelor Master in Statistics, Economics, Finance, Business Mathematics, Computer Science, Engineering or related fields
  • 5+ years of work experience required
  • Experience in the use of various analytical tools such as data management/query (ex. SQL, etc.), statistical modeling (ex. SAS, SPSS, etc.), advanced visualization software (Tableau, Qlik, Cognos Alteryx etc.)
  • Strong attention to detail and accuracy. Ability to quickly merge and summarize data/information from multiple sources, including experience in data management, cleaning, data analysis and report writing
  • Proficiency in Microsoft Office and computer skills is required. Advanced use of Microsoft Excel (including pivot tables, lookup procedures and complex formulas with nested logic)
  • Independent self-starter, able to work with limited supervision
  • Strong Project/Account management skills with an ability to manage and prioritize multiple initiatives in a dynamic environment with tight timelines are required. Demonstrated success in working with an Outsource analytics partner and leading projects on-time and on budget is required
  • Excellent English communication/presentation skills (written, spoken) in order to provide succinct, concise and insightful analysis/concepts and actionable recommendations to a non-quantitative senior stakeholder audience
  • Knowledge of Procurement and P2P processes (e.x. ARIBA Buyer, ARIBA Spend Management, VIEWS, VISION, eICD, SAP/Lynx, Cognos & other ERP systems)
  • Experience and exposure to Global and Matrix organizations
  • Customer focused and experience working in a shared service environment
  • PMI, FPX, or other project management certification
  • Six Sigma Green Belt and/or Design Excellence certification
29

Digital Modeling & Advanced Analytics Resume Examples & Samples

  • Must have a Bachelor’s Degree in Marketing, Economics, Business, Statistics or a related discipline
  • Must have 1 year of experience in statistical or data analysis positions in a business consulting or client analytics environment
  • Must have 1 year of experience with
30

Specialist Advanced Analytics, VP Resume Examples & Samples

  • Facilitate our Enterprise Data Quality Management Center (DQMC) vision by implementing and supporting strategy for Data Quality as a Service oversight, and governance
  • Hands-on data warehouse ETL and GUI developer implementing data warehouse/business intelligence solutions
  • Coordination and interacting with technical and business groups within the department
  • Build and promote a self-service Data Quality anomaly identification, tracking, reporting and resolution model
  • Execute initiatives based on this vision and ensure adherence to enterprise data standards, quality, and monitoring processes
  • Develop proof of concept prototypes for next-generation data profiling, data quality and integrity assessment toolsets
  • Requires a Bachelor’s degree (or higher) in Computer Science, Engineering or related field, advanced degree preferred
  • Strong hands-on experience with ETL ,Database programming and SQL is required
  • 8+ years of Advanced knowledge in programming (MS SQL, ETL, ASP.NET, C#, Visual Basic, HTML, JavaScript), database design, analytics and Business Intelligence
  • Proven ability to handle and prioritize multiple projects and meet deadlines
  • Capacity to identify and understand business needs and incorporate into technical requirement solutions
  • Proven analytical and problem solving skills for assessment of complex production support issues and recommend/implement effective solutions
31

Director of Advanced Analytics Resume Examples & Samples

  • Advising the business development people on approach and design
  • Managing and training a team of analysts both in the US and abroad
  • Meeting with clients in the proposal stage and throughout the project, as needed, including presenting and/or consulting on results, as necessary
  • Working and advising research teams to assist them in interpreting and presenting results
  • Functioning as a member of the sales force
  • And all around ‘guru&#8217
  • 10+ years of relevant statistical analysis experience at a market research supplier or corporate research department a must
  • Significant expertise in Excel, SPSS and Sawtooth
  • Experience with R is a plus
  • Candidate needs to have a comprehensive understanding of statistics and survey research. This includes comprehensive knowledge of custom quantitative research, methodologies and products
  • Experience in sampling methodologies along with a material understanding of sampling practices
  • Robust analytical and problem-solving abilities
  • Commitment and dedication to get the job done
32

Knowledge Expert Advanced Analytics Resume Examples & Samples

  • Build up and lead a team of analytics professionals
  • Manage Analytics team members (line management)
  • Uphold the quality of analytics output and standardize processes, manage projects
  • Lead role in selling process to clients through analytics expertise
33

Ideas Advanced Analytics Algorithm Developer Resume Examples & Samples

  • Design, develop, and support algorithms for complex and large-scale revenue management and price optimization problems
  • Collaborate with other members of the development, testing, and product management teams with an understanding of the business requirements
  • Keep abreast of analytical developments and trends in this area
  • Perform other duties, as assigned
  • Experience with the SAS system and SAS programming
  • Strong C programming skills
34

Director of Advanced Analytics Resume Examples & Samples

  • Provide leadership, both technical and strategic, to high-level professionals. Develop operating models, including development and prioritization of overall objectives
  • Deliver industry-leading products in the advanced analytics and data space for clients and partners
  • Responsibility for quality and service standards. Lead resolution of issues and process improvement
  • Communicate capabilities of advanced analytics function to internal and external audiences. Represent company and department as an expert
  • Participate in research initiatives, including reviewing relevant clinical scientific literature and championing best in class analytical practices
  • 10 or more years experience, preferably 1-2 years in healthcare industry. Must have people management experience. Strong preference for experience of management of a data science function
  • Bachelor’s degree in Engineering, Information Systems, Computer Science, Mathematics, Statistics or similar discipline. Master’s level strongly preferred, PhD preferable
  • Proficiency in SAS or R. Familiarity with Java, C++ etc. in a software engineering context. Experience with data systems like Oracle, SQL, Teradata or analytic platforms like Hadoop
  • Solid understanding of advanced analytics, from concepts to procedures and practices
  • Outstanding communication skills, interacting with all levels of technical and non-technical employees. Customer service focus and flexibility around work schedule and travel
35

Advanced Analytics Business Solutions Resume Examples & Samples

  • Develop analytics and data science solutions to solve/optimize technical problems in operations and engineering areas
  • Utilize big data analytics tools and apply analytical techniques for data retrieval, preparation and discovery
  • Implement data science algorithm and utilize big data advanced analytics platform to create applications for stakeholders
  • Create visualization output to illustrate prediction result
  • Bachelor or Master degree in: Computer science, Mathematics, Statistics, Physics, Engineering or Computer engineering
  • Experience in data mining, data preparation and other analytic techniques
  • Solid in applying statistical theories in problem solving
  • Working experience in Python, R, SQL, C, C++ programming language
  • Self-motivated, independent and a team player with strong communication and interpersonal skills
  • Fast learner. Strong analytical capabilities. Good computational skills and basic knowledge of statistics. Creative problem-solving skills
  • Attention to detail and proactive
  • Computer language and applications experience in
  • D3/Javascript
  • Shiny R studio, R Markdown
  • Spark
  • Django
36

Hcra Advanced Analytics Senior Analyst Resume Examples & Samples

  • Pro-actively communicates with Senior HR Leadership thro’ Service Managers and independently, as needed. Creates and delivers executive, high-impact presentations
  • 7+ years of work experience in SAS preferably Enterprise Guide
  • Experience with query building in SQL and Proc SQL
37

Advanced Analytics, Senior Analyst Resume Examples & Samples

  • Assist all Advanced Analytics work streams from design, deployment and the integration of resulting insights across different business segments and multiple data sources and clearly communicate business risks and opportunities
  • Identify key business issues that impact product and market performance
  • Understand business drivers and how research results should be integrated into analyses
  • Prepare and present Brand analyses to support Marketing, Sales, and Leadership teams
  • Evaluate the market landscape, monitor changes, and predict trends in market dynamics, competition and customers
  • Develop, execute & maintain a comprehensive measurement plan for impact assessment of all Brand Marketing & Promotional investments and provide prescriptive recommendations for maximizing investments
  • Provide technical expertise, leadership, and guidance for a broad range of projects and custom analytics across the portfolio including both project and process management
  • Capability in applying deeper technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modeling capabilities, etc.)
  • Own responsibility for the validity of the statistical, computer modeling and business focus of the projects supported (while the client owns the "outcome")
  • Create user-friendly decision-support analytical tools based on empirical findings for business applications
  • Design, prepare, and present ad-hoc advanced analysis, and supporting commentary
38

Business Intelligence & Advanced Analytics Manager Resume Examples & Samples

  • Program Management
  • Master or Bachelor degree in Computer Science, Engineering, Mathematics or Statistics
  • At least 12 years experience in Business Analytics, Data Warehouse Management, and have proven track record in delivering business intelligence and advanced analytics solutions
  • Minimal 5 years experiences in project management role. Minimal 3 years experiences in Program Management role
  • Excellent communication and negotiation skills. Ability to capture implicit needs and translate into tangible actions
  • Strong business acumen skillsets, and experience engaging internal and external stakeholders
  • Experience working across cultures in Asia Pacific, and fluent in at least one Asian language
  • Experience in developing and championing performance scorecards for organizations
  • High technical proficiency in Business Intelligence tools and up-to-date on latest product features
  • Experience in the area of analytical thinking, problem solving, and data mining algorithm research would be an added advantage
  • Strong experience in applying analytical approach in understanding the meaning behind data
  • Passion in driving quality process and quality output
  • 6-Sigma certification would be an added advantage
  • Hands-on leadership, with keen interest in developing team members
  • Entrepreneurship approach in developing and executing strategies
39

Advanced Analytics & Optimization Manager Resume Examples & Samples

  • Transform model results into insights to help stakeholders understand historical media impact and trends in media performance
  • Minimum 3year(s) professional work experience
  • Experience with various statistical and data mining methodologies including; CHAID, multi variate regression, time series models, clustering, design of experiments and forecasting
  • Experience with statistical modeling software tools such as SAS, SPSS, or R
  • Experience with multiple digital data sources including DART and Omniture
  • 5 years professional work experience
  • Advance experience with SAS including base SAS programming, SAS Macros and Enterprise Miner
  • Experience with simulation and advanced statistical and modeling techniques such as mixed models and Bayesian hierarchical models
  • Experience with digital attribution methodologies and tools such as Adometry, Covertro or Visual IQ
  • Bachelor’s degree or equivalent in Statistics, Economics, Mathematics, Business Administration, or Operations Research
40

Advanced Analytics Modeler Resume Examples & Samples

  • Bachelor’s Degree in one of the following: Computer Science, MIS, Industrial Engineering, Statistics or related field or comparable work experience
  • At least 3 years of experience with SQL or Teradata databases development
  • High school diploma or equivalent. (education)
41

Analyst Advanced Analytics Resume Examples & Samples

  • Creates, maintains, and analyzes AE, sales team and key business initiative performance
  • Analyzes and identifies significant historical trends that correlate to success in relation to AE, sales teams and key business initiative performance
  • Provides ad hoc reporting and analysis for management upon request
  • Tracks web site usage using Omniture and other web tracking tools
42

Product Analyst Student for Advanced Analytics Resume Examples & Samples

  • Students in advanced degrees with experience in Data Mining, Text Mining, Predictive Analytics - an advantage
  • Capacity to work 2 - 2.5 days a week in parallel to the studies
  • Excellent communication skills and a strong team player, Excellent English communication skills
43

Head of Advanced Analytics Resume Examples & Samples

  • Extensive experience in technical/consultancy/client facing based roles. Agency experience preferred
  • Technical background. Comfortable presenting technical concepts in a simplified, articulate fashion
  • Client management experience, comfortable owning a client relationship and ensuring retention
  • Substantial sales/new business experience including pitching to advertisers at all seniority levels
  • Team leadership skills with demonstrable experience managing a large team
  • Hands-on approach having built experience of delivering analytical, technical and creative projects to clients ranging from startups to well-known, global brands
44

Advanced Analytics Senior Resume Examples & Samples

  • Manage client’s expectations and work with team in developing the analytical solution
  • Hands on involvement in suggesting and building an appropriate statistical model relevant to the Lifescience, Health, Power & Utility, Retail & CPG industry vertical
  • Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making
  • Foster teamwork and lead by example
  • Should have demonstrated ability / experience in project management and client relationship management for at least 3 years
  • A desirable candidate should have 6/7 years of relevant experience in the field of analytics
  • The candidate must have excellent inter-personal skills, consulting, presentation & documentation skills, flexibility & adaptability and ability to work in a team environment
  • Familiarity with SAS Enterprise Miner, SAS CI, Model Manager, Scoring Accelerator, and Forecast Server will be considered an added advantage
  • Prior experience in implementing NLP and Text Mining an added advantage
  • Strong domain expertize in any industry vertical preferably Lifescience, Health, Power & Utility, Retail & CPG
45

Accenture Digital Advanced Analytics Product Analytics Manager Resume Examples & Samples

  • 10+ years of consulting business experiences, deep Industry(1-2) knowledge and consulting services experiences
  • Excellent communication and presentation skills in both Mandarin and English. Experiences and proven record in C suite dialogues
  • 8+ years experience in analytics, business intelligence and data management planning and implementation with proven record industry client projects services
  • Deep understanding of big data framework, value proposition, solution and key technologies and products. Hands-on skills in Industry solution development and PoC implementation
  • Holistic view of Enterprise architecture and IT system architecture and capability to explain to both IT and business function people a strong plus
  • Bachelor degree or above from top-tier university
  • Excellent leadership and mentoring skills
  • Proven senior client communication and relationship building skills
  • Proven skills in developing high quality proposal and deliverable
  • Proven skills in developing PowerPoint communication materials, e.g., Steering Committee, Point-of-View and Discussion decks
46

Advanced Analytics Resume Examples & Samples

  • Design and implement innovative solutions to complex business problems where analysis of situations requires an in-depth knowledge of organizational objectives
  • Work with business and technology client representatives to identify functional and technical requirements
  • Learn and obtain expertise with Accenture Delivery Methods and Marketing technologies
  • Own the overall solution blueprint and roadmap
  • Accountable for the technical integrity of the solutions, cost effectiveness and supportability that meets client requirements and industry best practices
  • Clear and concise articulation, presentation, and documentation of technical opportunities, constraints, recommendations, and action items to both internal and external audiences
  • Translate complex functional, technical and business requirements into architectural designs
  • Assess Digital market technology choices to determine fit, including software, hardware, etc
  • Research and analyze market landscapes and emerging platforms, patterns, practices, and methodologies to drive differentiated service offerings for clients and foster greater professional development opportunities for internal talent
  • Provide thought leadership around best practices and new/emerging concepts
  • Interact with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters
  • Manage large teams and/or work efforts
  • Minimum 3 years of experience as a Technical/Solution Architect in Analytics solutions
  • Minimum of 3 years of experience implementing solutions with one or more key technology platforms including
  • Experience in software engineering and data related services
  • Experience with database technologies, Master Data Management, Big Data, Data Warehousing, Business Intelligence, Data Visualization, and Analytics Platforms
  • Experience with software design and build
  • Industry skills in at least one industry
  • Proven experience in data warehouse, analytics platforms, and/or big data architecture design
  • Strong contract negotiation and drafting skills
  • Good communication (written and oral)
47

Advanced Analytics Modeler Resume Examples & Samples

  • This position requires a a master’s degree in Computer Science, MIS, Marketing Research, Business Administrations (MBA), Statistics, Industrial Engineering, or related field, or equivalent work experience
  • Bachelor’s Degree in one of the following: Computer Science, MIS or related field or comparable work experience is required
  • At least three (3) years of experience with SQL or Teradata databases development
  • Able to make effective independent decisions, initiate and complete projects
  • Ability to exercise initiatives and independent judgment for team operations and projects
  • Support a work environment that promotes teamwork and mutual respect
  • Demonstrated ability in coordinating and collaborating with other teams of technical staff
  • Demonstrated ability in oral and written communication, presentation, analytical, and organizational skills
  • Maintain a professional, neat and well-groomed appearance, adhering to company standards
  • Proof of eligibility to work in the United States
  • Good understanding of relational database design, development and utilization of normalization forms and cardinality, as well as other database concepts
  • Knowledgeable in multi-dimensional data modeling and its implementation. Be able to resolve complex many-to-many relationships in multi-dimension and multi-fact structures (SSAS or SAS OLAP Cube Studio Preferred)
  • Demonstrated expertise in developing large scale database ETL processes using SSIS
  • Experienced in SAS data/proc steps in SAS Enterprise Guide and Enterprise Miner
  • Experienced in developing dashboard using tools such as SSRS, Cognos 8, Spotfire or SAS BI
  • Technically literate with some programming (VB, Java, C#) and software tools design knowledge
  • Interpersonal skills to effectively communicate with all business contacts
48

Business Leader, Advanced Analytics Resume Examples & Samples

  • Have you ever helped a bank understand what behaviors drive portfolio performance and how to leverage this knowledge?
  • Are you intrigued by the potential of big data?
  • Do you ever wonder if existing data assets could be used in new ways?
  • Interface with Advisors regional Business Development, GP&S, Market Development and Advisors Global Business Line teams (Consulting, Managed Services, Information Services) to identify, size and scope of scalable opportunities
  • Support business development Initiatives
  • Ensure effective delivery of advanced analytics engagements such as, for example
  • Define and integrate project plans for multi-workstream projects
  • Lead small project teams (consisting of other Advisors consultants as well as team members from the client-side)
  • Integrate team results, and prepare and deliver presentations to the client
  • As the primary face of MasterCard on-site with the client/member bank, manage the overall relationship with the client, including business development, expectation management throughout the delivery of the project, and the development of follow-on assignments with the client
  • Team with the MasterCard Worldwide account team to cultivate, deliver, and leverage projects / relationships with the member bank
49

Senior Manager Operational & Advanced Analytics Resume Examples & Samples

  • A Bachelor’s Degree in Computer Science, Business Administration or equivalent is required
  • At least 3 years of recent hands-on experience in Hadoop stack and big data technologies/tools such as such as Hadoop, R, SAS is required. Should have experience in architecting and implementing domain centric big data solutions
  • 3 years of experience architecting, designing, and developing analytic solutions using Big Data architectures (e.g., data lakes, active archives, discovery/exploration sandboxes)
  • Experience working with big data distributed programming languages, and ecosystems (e.g. S3, EC2, Hadoop/MapReduce, Pig, Hive, Spark, SAP HANA, etc.)
  • Extensive experience working with large datasets with hands-on technology skills to design and build robust data architecture and analytics roadmap
  • Solid experience in data management (data/analytics governance, master/reference data, metadata, and data quality) , data modeling and database design involving any combination of Data ware housing and Business Intelligence systems and tools with Open source Hadoop stack
  • Up to 25% domestic and/or international travel is required.Architecture
50

Advanced Analytics / AI Analyst Resume Examples & Samples

  • Degree in Statistics, Mathematics, Computer science, or a related scientific discipline
  • Hands-on data analytics experience, ideally including exposure to areas such as statistical modeling, machine learning, data mining and unstructured data analytics
  • Knowledge of statistical and related tools/languages such as R, SAS, Python or similar
  • Awareness of techniques and tools for working with large data sets such as MapReduce, Hadoop, Hive and equivalent technologies
  • Experience with or exposure to Natural Language Processing, Machine Learning, Cognitive Computing or Artificial Intelligence is a plus
  • Proficient verbal and written communication skills in English
51

Director of Advanced Analytics Resume Examples & Samples

  • Provide advanced analytics support for understanding the drivers of key performance indicators, including explanatory and predictive modeling, forecasting, key drivers analyses
  • Build advanced statistical models and/or traditional analyses as needed to support ad hoc requests
  • Provide advanced analytic support to commercial and regional teams that do not have that capability
  • Make software and analytical method recommendations on proper use of the company’s data for analytical and optimization processes
  • Develop and maintain relationships with vendors and their products as related to analytics and data mining
  • As needed, review analyses done by other analytics teams and work with them on proper approaches to analysis – set standards for advanced analytics methods
  • Coach and develop team members; hire, fire, assess, discipline, document performance, recommend salary and classification changes
  • Act as an advisor to subordinate managers or staff to help meet established schedules and/or resolve technical or operational problems and/or resolve technical or operational problems
  • 8+ years progressive work related experience with demonstrated proficiency in multiple disciplines/technologies/processes related to the position as well as 3 or more years managing teams and/or significant complex projects. Five or more years’ experience in statistical analysis, model development, and implementation of models into business processes
  • Demonstrated knowledge and proficiency of Structured Query Language (SQL), relational database management systems (RDBMS), and SAS (skills in other analytics tools such as R or Python desirable)
  • Demonstrated proficiency with big data analytics approaches strongly desired
  • Demonstrated experience in leading and developing people desired
  • Skills in marketing mix modeling and/or attribution modeling strongly desired
  • Demonstrated experience with effective verbal and written communications skills for providing information for stakeholders, vendors, and staff as well as communicating technical information to non-technical audiences, is required
52

Advanced Analytics Resume Examples & Samples

  • Hands on involvement in extracting, collating, performing data integrity checks, manipulating and analyzing data
  • Training and mentoring of project resources
  • Participating in the organization-wide people initiatives
  • Must be a team player with leadership qualities
  • Advanced level programming ability using SAS, R, or Python
  • Knowledge on SPSS would be added secondary skill
  • Should have hands-on experience in handling large datasets and should be familiar with models using—linear regression, logistic regression, ANOVA/ANCOVA, optimization techniques, time series modelling, segmentation, decision tree, clustering and simulation based analysis
53

Advanced Analytics Resume Examples & Samples

  • A desirable candidate should have 5/6 years of relevant experience in the field of analytics
  • Excellent business communication, Consulting, Quality process skills
  • Excellent Consulting Skills
  • A team player and demonstrated ability / experience in client relationship management for at least two years are required
54

Advanced Analytics Senior Analyst Resume Examples & Samples

  • Ability to understand and analyze business requirements by working with various stakeholders
  • Responsibly own project tasks and take it through completion
  • Proactively help improve processes and learnings in the team
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Advanced analysis skills and experience in principals of architecture to define appropriate customer solutions in Analytical space leveraging Microsoft Stack
  • Application Architectures including the use of cloud-based technology capabilities such as Azure and SPO, Application Life Cycle Management and Application Platform processes and technology capabilities, Data and Database Management, SQL/ BI, Advanced Analytics such as machine learning and application middle-ware and messaging architectures
55

Dir Advanced Analytics Resume Examples & Samples

  • Manages advanced analytic projects, data mining and statistical modeling operation to identify underlying trends and patters to promote informed business decision making. Informs the business of trends, competitive intelligence, and operational insights based on sophisticated analytical tools and methodologies in support of a function or otherwise designated major segment of the business
  • Proposes tactical direction impacting the function or SBU or Corporate department. Analyze and validate findings, creating reports, presentations and visualizations
  • Owns relationship with a defined segment of business, delivering advanced tools and insights, including on-going monitoring of metrics and initiatives, to improve business results
  • Excellent analytical, quantitative and problem solving skills
  • Expert knowledge of data sources, tools, and business processes, including a sophisticated understanding of cross-functional operations and business drivers
56

Advanced Analytics Internship Resume Examples & Samples

  • Initiative
  • Organising & monitoring
  • Personal development
57

Advanced Analytics Resume Examples & Samples

  • Familiarity of analytical packages such as R, Python, SQL, etc., and approaches (regression, decision trees, clustering, neural networks, etc.)
  • Strong interest in developing a knowledge base in geospatial analytics and solving location-based problems
  • Familiarity with GIS software (e.g., ArcGIS) and/or geospatial approaches (spatial analysis, network analysis, geographic visualization, etc.) is preferred, but not required
  • Undergraduate degree in a respected institution and advanced degree from a related quantitative field (typically Economics, GIS, Computer Science, Finance, Business, Statistics, Physics, Mathematics, Engineering, etc.) with an outstanding collegiate academic record
  • Fluent English and Portuguese is a must. Spanish knowledge is a plus
  • Relevant experience in an operations research or analytics setting (public or private sector) is a plus
58

Advanced Analytics General Manager Resume Examples & Samples

  • Proven performer with at least 8 years of project management experience around advanced analytics, data and / or technology implementation (McKinsey equivalent tenure: Engagement Manager)
  • Knowledgeable about Product Development; familiarity with the analytics for Product Management and/or Spend Cube harmonization
  • Willingness to be a critical team member in a rapidly growing business; entrepreneurial spirit required
  • Excellent project management skills and the ability to work with multiple clients and complex processes
  • Strong communication and influencing skills at all levels of the organization, to orient the work of delocalized teams and push key topics on the agenda with internal stakeholders as well as with clients
  • Fluent in English; German required
  • Travel requirements: 50% in addition to Munich and Berlin
59

Analysts, Advanced Analytics Group Resume Examples & Samples

  • Serve as domain expert on marketing analytics, measurement science and data
  • Work closely with internal business stakeholders to understand business requirements, design measurement instruments and provide data-driven recommendations. This often requires applying analytic models on large internal and external datasets, including business forecasting, concept evaluation, pricing and brand measurement
  • Partner with external advertisers to improve understanding of campaign effectiveness, including media mix modelling, attribution and marketing optimisation
  • Minimum Master's or PhD degree in Statistics, Mathematics, Computer Science, or related discipline
  • At least 10 years hands-on advanced analytics experience, preferably within the media or advertising industry. Knowledge of audience currencies is a plus
  • Proficiency in analytical tools is required (e.g., R, SPSS, Sawtooth). Experience with distributed databases and programming languages (preferably Java, C++, Python) is a plus
  • Demonstrated track record in using data to deliver actionable recommendations with measurable impact
  • Highly-driven and able to deliver quality results in a fast-paced, multi-tasking environment
  • Comfortable with presenting to stakeholders at various levels of the organisation
60

Analyst, Advanced Analytics Resume Examples & Samples

  • Assess data quality, identify gaps in the data and eliminate irrelevant data
  • Perform multivariate analysis, predictive modelling, cluster, market basket analysis using sophisticated statistical techniques
  • Apply advanced analytics techniques to reveal actionable insights and drive revenue or efficiency campaigns
  • Present and visualize the data with the relevant use of graphs and charts in business intelligence clients (e.g. Qlikview)
  • Support ad-hoc requests for data analysis from stakeholders
  • Up to 5 years work experience in related fields is an advantage but not required
  • Knowledge of R, Python, SAS, Stata, Matlab, SPSS or other related statistical packages
  • Knowledge of machine learning/predictive analytics such as time-series forecasting, regression (linear, GLM, etc.), decision trees, random forests, basket analysis, etc
  • Highly collaborative and results-oriented
61

Advanced Analytics & Optimization Intern Resume Examples & Samples

  • Demonstrated strong organizational skills with attention to detail while utilizing strong communication skills
  • Knowledge of relational database concepts
  • Familiarity with SAS and SQL or other database query languages
  • Proven experience using SAS, SQL and Teradata SQL Assistant
  • Experience with travel industry and/or consumer data
  • Experience with Business Intelligence Tools such as Tableau
  • Demonstrated Data quality validation skills
  • Understanding of relational database structure and concepts
  • Demonstrated knowledge of Walt Disney World, Disney Cruise Lines and Disneyland products and services
  • Demonstrated experience with developing and interpreting analytic program results
  • Currently earning a bachelor’s degree in Business, Statistics, MIS, Economics or other analytical field of study
62

Advanced Analytics & Modeling Intern Resume Examples & Samples

  • Problem solving skills, as well as continuous improvement process skills and attention to detail
  • Computer proficiency within a Windows environment
  • Basic knowledge of relational database concepts and Willingness to learn new software applications
  • Proven familiarity and experience with SAS
  • Experience with data mining or statistical modeling
  • Familiarity with technical documentation (data models, process flow diagrams, technical specifications/requirements)
  • Familiarity with marketing analytics and market mix optimization concepts
  • Demonstrated strong analytical and statistical modeling skills Including text mining
  • Ability to interface with both a technical and non-technical audience effectively
  • Proven experience using SQL and Teradata SQL Assistant
  • Currently a student enrolled in a Master's or Doctoral degree program in Statistics, MIS, Data Mining, Economics, Industrial Engineering, or other analytical field of study
63

Senior Modeler, Advanced Analytics Resume Examples & Samples

  • Leading and/or contributing to the definition of an overarching big-data-driven approach to advanced analytics strategy and architecture
  • Working with and managing cross-functional teams to discover and develop actionable, high-impact data analytics need and opportunity statements in a variety of core business areas
  • Developing industry leading solutions including
  • Creating breakthrough solutions, performing exploratory and targeted data analyses to drive iterative learnings
  • Working with business domain, IT and data experts to identify detailed data needs, sources, and structure to support solution development
  • Leading project teams to ensure technical requirements are executed in a way that balances best practices, risk, innovation, sustainability, and disruption
  • This is an exciting, hands-on, technical delivery and technical leadership role working on state-of-the-art problems in an intellectually challenging and rewarding environment. 50% of the time is expected to be hands-on development of models, and 30% guiding supporting team members, and 20% presentation and business interaction
  • Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
  • Highly collaborative work style
  • Ability to evaluate the big picture and solve business problems rather than focusing only on pre-defined metrics
  • Ability to interpret structured problem statements and operationalize potential solutions from project team and client specifications
  • Knowledge of statistical and predictive modeling concepts and disciplines
  • Substantial experience with machine learning models
  • Work experience in a data-intensive industry
  • Deep learning software and methods, and/or modern Artificial Intelligence toolsets
  • Niche open source tools such as OMCS, DL4J, TensorFlow
64

Advanced Analytics Resume Examples & Samples

  • Recruit and build a team of talented data engineers, architects and technical product managers
  • Demonstrate both the breadth and depth of knowledge in terms of the evolving Big Data landscape and experience leading technology transformation initiatives for ResMed and its subsidiaries
  • Develop and deliver turn-key technology programs to multiple regional markets; leveraging HI technology platforms with a focus on customer, commercial and patient needs
  • Encourage innovation of process and creative development methodologies
  • Keep interest and motivation levels high, inside and outside of the department
  • Facilitate learning and growth at the individual and team level by encouraging innovation, implementation of new technologies
  • Shape and communicate the department’s identity, standards, guidelines and best practices
  • Partner with the HI architecture teams to develop efficient system and solution designs that optimize data storage, speed and access. Implement and lead continuous improvement initiatives to support the company’s data strategy and architecture
  • Maintain and communicate deep technical and business knowledge of industry directions and trends in the area of data and system engineering
  • Create buy-in for the global technology program market opportunity at all levels of the organization
  • Ensure that the Advanced Analytis department goals and vision are aligned with the corporate visions and goals as set by the CEO Ops team
  • Proven track record of developing junior and experienced engineers, data analysts etc
  • Proficiency with Cloud and Big Data technologies and concepts
  • Experience leading transformation from traditional to next-generation data analytics solutions
  • Ability to design and deploy solutions that are highly available, scalable and extensible
  • Experience within Healthcare is strongly preferred
  • BS or MS in Engineering, Computer Science or Information Systems
  • 10+ years of data engineering and development experience; 5+ years with hands-on Big Data analytics
  • Minimum of 10+ years of increasing leadership experience, preferably in data and/or software engineering
  • Extensive experience in one or more database technologies: MS SQL, Oracle DBs, MySQL, Big Data, MongoDB, Cloud technologies, SQL, PL/SQL, UNIX shell
  • 3+ years of experience in business intelligence, analysis and reporting systems
  • Proficient knowledge in designs practices including OLTP, reporting, and OLAP; big data processing and analytic technologies including Hadoop, R, and stream processing; standard and ad hoc reporting solutions; ETL and MDM data management tools
  • Strong sense of self-motivation, organization and attention to detail
  • Equivalent combination of experience and/or education may be considered
  • Travel requirements – 15-30%
  • All listed duties and responsibilities are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities
65

Senior Advanced Analytics Manager Resume Examples & Samples

  • Partner with the marketing and business strategy teams to address key business questions by conducting experiments that lead to actionable insights
  • Perform deep-dives statistical analysis on very large, complex, multi-dimensional datasets to answer targeted questions, such as testing insights to improve optimization efforts
  • Research and develop new algorithms/methods for marketing measurement
  • Develop and contribute to the knowledge database through extensive documentation and written communications
  • Advanced degree in quantitative fields (ideally MS or Ph.D. in Statistics), and 5+ years of progressive experience with deep mastery of a wide range of techniques, tools, and methodologies related to advanced measurement and statistical analysis
  • Expert user of statistical modeling tools such as SAS, or R, and hands-on experience using multiple analytical methodologies such as A/B and multi-variate testing
  • Thorough understanding of internet marketing data collection and metrics; familiar with search marketing, viral marketing, and ad serving platforms such as Omniture, Mediaplex
  • Hands-on experience with SQL, and working knowledge of database design
  • Creative mind with strong communication and interpersonal skills, and talented with simplifying abstract business issues and large amounts of data into actionable analyses; must be able to interact with diverse groups of technical and non-technical people
  • Experiences in consumer marketing, online community, and e-commerce; comfortable with unstructured, fast-moving and constantly evolving high growth environment; demonstrated capacity to learn, with a passion for excellence and continuous improvement
66

Director Claims Advanced Analytics Resume Examples & Samples

  • 7 -10 years of related business experience
  • Bachelor's degree in business, economics, engineering or other quantitative field
  • Knowledge of the property & casualty industry, including Product Pricing, Underwriting, plus broad functional knowledge of Sales, Claims and Services and Actuarial/Pricing
  • Effective verbal and written communication skills for exchanging information across multiple levels of management
  • Strong math, analytical, problem-solving, and research skills
  • Advanced proficiency with Microsoft Power Point and Excel
  • Ability to solve complex business problems and present recommendations to senior management effectively
  • Excellent planning, organizational, analytical, and decision-making skills
  • Proven experience defining, shaping, and driving projects to completion while effectively collaborating with others with little supervision
  • Proven ability to establish and prioritize objectives and achieve desired results
  • Extraordinarily effective at leading and influencing others
  • Impact and influence skills; ability to sell their positions
67

Advanced Analytics Product Owner Resume Examples & Samples

  • Manages and leads an Enterprise Data Strategy work streams to strategically enable the right data to conduct analysis, inform decisions and deliver result (Analytic Ecosystem)
  • Responsibilities within this work stream includes
  • 10+ years of experience in a data and/or analytic related function
  • Expert ability to persuasively advocate a position and build momentum for change and action
  • Advanced ability to manage multiple priorities given aggressive timelines; comfortable performing in a fast paced, dynamic and ambiguous business environment; manage both internal and external resources
  • Ability to work with broad parameters in complex situations
  • Ability to develop and/or revise tactics to support changing business strategies and direction
  • Strong collaborative skills to lead and collaborate across boundaries to implement decisions and/or initiatives in an integrated manner
  • Strong technical and business acumen and experience working in an agile methodology
  • Advanced understanding of enterprise business units
  • Advanced oral and written communication skills; ability to facilitate (instruct, lead) and deliver formal presentations and demos to stakeholders
  • Strong quantitative and analytical abilities
  • Ability to lead, coach, and develop staff, particularly in the areas of strategy and leadership
  • Ability to inspire trust and influence management
  • Experience of managing multiple projects simultaneously
68

Advanced Analytics Professional Resume Examples & Samples

  • 5+ years experience in Natural Language Processing (NLP)
  • 5+ years experience in working on a variety of advanced analytics projects with good understanding of the different stages of an analytics project
  • 2+ years experience in working with databases, data mapping, data validation and data transformation
  • Strong experience in Unstructured Information Management Architecture, Computational Linguistics, and Machine Learning
  • 5+ years experience in Perform Requirements Identification and Analysis
  • 5+ years experience in Perform Analysis Technique, Text Mining, and Text Analytics
  • Working knowledge of Python, R, Perl, Bash, scripting and programming
  • Strong knowledge and hands-on experience in Big data analytics and related open-source or commercial platforms is preferred
  • 2+ years experience in the area of supply chain management
  • Experience working directly with external clients and senior executives
  • Experience working in Agile environment and knowledge of Agile will be added advantage
69

Advanced Analytics Consultancy Leader for Eastern Europe & Mediterranean Markets Resume Examples & Samples

  • Promoting, developing and expanding AAC within the group of countries
  • Developing new products, methodologies and systems
  • Building and developing the AAC group, through the design and implementation of training and development plans and programs
  • Maintaining and developing high level of contact and consultation to existing and /or new clients, whilst representing the company at national and international events
  • Delivering high value solutions to clients, contributing to the improvement of client satisfaction
  • Providing top management with thorough review of internal and client financials, including budget and forecast
  • Managing and coaching other AAC consultants in order to ensure maximum results
  • Bachelor degree in one of the fields of Marketing / Business Administration / Statistics-Mathematics is required. A relevant Master degree will be considered an asset
  • Minimum 5 years of experience, preferably in the FMCG or Consulting industry in client facing roles that involve analysis & consulting for clients
  • Strong analytical skills and understanding of statistical modelling
  • Decision maker and problems solver
  • Excellent interpersonal and presentation skills
  • Negotiation skills and ability to work under strict deadlines
  • LI-EU
70

Senior Advanced Analytics & Optimization Specialist Resume Examples & Samples

  • Minimum 5 years experience with applying advanced analytics techniques such as optimization, simulation, forecasting, statistics, classification, machine learning, and clustering techniques. Experience in energy, chemical or materials processing industries is a plus
  • Strong leadership skills with proven ability to lead and inspire cross-functional and multi-cultural teams
  • Strong project management skills with the ability to influence, work effectively, and manage the execution of solutions in a cross-functional, multi-regional team environment
  • Ability to build strong working relationships with business while incorporating a strategic mindset
  • Excellent communication (English), analytical, facilitation, and networking skills
  • Should have sensitivity and ability to deliver training to meet the needs of varying cultures and situations
  • Broad experience with various data analysis tools (e.g. SQL, Python, VBA), predictive analytics tools (e.g. IBM-SPSS Modeler), simulation tools (e.g Simio) and statistical packages (e.g. R, SAS, Minitab)
  • PhD or Master’s degree in Operations Research, Industrial Engineering, Mathematics, Statistics, Manufacturing Management or related discipline
  • Ability to travel internationally (travel requirement
71

Manager of Advanced Analytics Resume Examples & Samples

  • Responsibilities and job functions include but are not limited to the following
  • Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means
  • Communicates data findings to business leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen
  • Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets
  • Develops customized algorithms to solve analytical problems with incomplete data sets, and implements automated processes for efficiently producing scale models
  • Collaborates with other departments to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues
  • Plans data collection; analyzes and interprets numerical data from experiments, studies, surveys, and other sources; and applies statistical methodology to provide information for scientific research and statistical analysis
  • Develops recommendations for improving database design and data capture mechanisms
  • Maintain, enhance and further develop dashboards
  • Explore and profile merchandising and customer data, draw business inferences, complete analyses and clearly articulate findings with a focus on influencing decision making to drive actionable results to improve business performance
  • Continuously support improving effectiveness of activities including timelines, tools & methods
  • This is a new function for the company, with this position the first to be filled. It is envisioned that this position would supervise 1-2 analysts over time
  • Ability to work both independently and as part of a team
  • Willingness to voice opinions and provide recommendations in a collaborative decision-making process
  • Customer service mindset and ability to work with internal “clients” around the company
  • Proactively initiates changes to improve work processes & takes responsibility beyond scope of current position
72

Advanced Analytics Modeler Resume Examples & Samples

  • Understand business problems to be able to identify relevant data and modeling techniques to arrive at a solution
  • Perform necessary pre-processing and harmonization of data to create a modeling data set utilizing the most effective methods available
  • Select the proper mathematical method(s) for the problem at hand
  • Select the proper technology to implement the method/problem at hand
  • Communicate effectively with business leaders to define problems and deliver results
  • Assure alignment of Advanced Analytics activity with Business or Functional Strategy/priorities with input from relevant leadership
  • Acquire working knowledge of tools and techniques for modeling applications. To accomplish this, specific training in operations research and data mining is required
  • Perform detailed data mining analysis for the purpose of opportunity identification/discovery or specific decision making
  • For decision support, deploy the model in a user-friendly environment and provide assessment of the quality of the model and tracking therein
  • Manage multiple projects and participate in a team environment by teaching and sharing experience as well as learning from other coworkers
  • Bachelor Degree is required. Ph.D., preferred
  • Preferred field of study: Operations Research, Management Sciences, Industrial Engineering or a related statistical field
  • Prior training in basic concepts of data mining, predictive and prescriptive modeling, SAS tools and modeling languages is required
  • Background in unstructured programming languages like Python is desired
73

Advanced Analytics Modeling Specialist Resume Examples & Samples

  • Explore diverse data sources and learn from different types of data to get insights and estimate future trends,
  • Deliver professional solutions based on advanced modeling techniques and statistical analysis,
  • Develop predictive analytics applications related to Business applications,
  • Propose optimization and testing models for functional business analysts,
  • Serve as subject matter expert and drive thought leadership in the areas of identifying business needs
  • Bachelor or above in a quantitative field (e.g., Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research, Physics)
  • Must be statistics-minded, able to build data models for various purpose (likelihood, propensity, etc.)
  • High level proficiency with statistics tools: SPSS, SAS, R
  • Hands-on experience in solving complicated problems in different scenario using advanced analytics techniques
  • Experience in a specific industry (e.g., financial service, retail, internet etc.) are preferable
  • Strong communication skills in English and Mandarin (both oral and written)
  • Fresh Grads welcome and 5-10 industry experience is a big plus
74

Advanced Analytics & Modeling Life Sciences Resume Examples & Samples

  • Develop and maintain contact with top decision makers at key clients
  • Organize and lead pursuit teams
  • Participate and lead aspects of the proposal development process
  • Contribute to the development of proposal pricing strategies
  • Provide overall project management and client relationship support
  • Actively participate in defining project scope and objectives
  • Provide technical design assistance for predictive model development
  • Present and communicate project deliverables/results to clients
  • Function as integrator between business operation needs and advanced analytical solutions
  • 6+ years of business analytics experience in one or more of the following industries: Life Sciences: Pharmaceutical
  • 6+ years of experience with SAS
  • 6+ years of experience in modeling
  • Experience leading medium to large sized teams
  • Willingness to travel at least 25%
75

Advanced Analytics Enablement Cognitive Manager Resume Examples & Samples

  • AAE Cognitive professional experience
  • Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) Frameworks to process end to end data management life cycle for NLP, Machine Log Algorithms, and Text Mining algorithms
  • Ability to work independently, manage small engagements or parts of large engagements
76

Intern, Advanced Analytics Resume Examples & Samples

  • Explore and evaluate text mining techniques/solutions for conversation analysis, sentiment analysis and topic analysis (solutions for both English and Traditional Chinese)
  • Help to clean, transform and tag raw text data. Assess data quality, identify gaps in the data and eliminate irrelevant data
  • Work with business leaders to identify analytical requirements
  • Apply advanced analytics techniques to reveal actionable insights
  • Present/visualize the data with the relevant use of graphs and charts. Interpret results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining
  • University degree in Statistics, Mathematics, Engineering, Operation Research, Computer Science, Information Technology or related fields
  • Knowledge of descriptive statistics, and use of appropriate charts and visuals for effective reporting
  • Knowledge of R, Python, SAS or other related statistical packages
  • Knowledge of text mining/machine learning/predictive analytics
  • Advanced knowledge of Microsoft Excel features such as pivot tables, pivot charts, filters, and functions
  • Knowledge of Microsoft SQL and other relational databases
  • Ability to think and work creatively around the constraints of the existing business to devise valuable experiments
  • Proactive and self-motivated
77

Director of Advanced Analytics, BC Resume Examples & Samples

  • Partner with our consumer facing businesses to support our cafeterias, catering programs, convenience stores and merchandise stores in their efforts to grow revenues and control costs
  • Translate data into action and push out meaningful insights to our individual business units that interface directly with our consumers
  • Build models to support initiatives such as Pricing, driving greater participation and driving higher check averages
  • Build test and learn models to drive revenue from “other” levers such as menu mix, menu board designs and communication programs
  • Hire, motivate and develop team members to constantly build and evolve our analytical capabilities
  • Identify relevant external data to help tell “The Story” and augment our analytical models to achieve greater impact
  • Leverage existing data warehouses to develop business intelligence reports and analysis that supports the Pricing & Analytics team’s strategy
  • Think strategically and recognize opportunities
  • Have a “hands-on” involvement with the analysts
  • Serve as a key member of various project teams of cross-functional resources to implement analytics strategies – with internal and external partners
  • Perform trend analysis, predictive analytics and data mining to provide actionable insights that inform strategic and tactical decisions and lead to improved consumer experience and business results
  • Bachelor’s degree in Statistics, Computer Science, Economics, Mathematics, Operations Research, Engineering or related field
  • Minimum 8 years of experience in Business Analytics, Data Modeling or in related disciplines
  • Ability to program in SAS, R, SPSS or Python
  • Comfortable working with large, complex data sources
  • Experience in data mining and building data models
  • Experience in building predictive models
  • Experience with test & learn methodologies
  • Ability to present complicated analytical material in a concise and compelling manner to a non-technical audience
  • Ability to work with large transactional databases across multiple platforms
  • Must have advanced proficiency in Microsoft Office tools such as: Excel, Power Point and Access
78

Analyst, Advanced Analytics Resume Examples & Samples

  • Analyze data using quantitative techniques to make actionable recommendations and present findings to management and senior leadership
  • Develop dashboards, operational scorecards, financial models, and data visualizations to drive performance improvement and support business operations
  • May lead moderately complex projects/work streams which involve multiple team members
  • Bachelor’s degree in an analytical discipline such as: Mathematics, Statistics, Actuarial Science, Economics, Business or Finance
  • Ability to prioritize, strong attention to detail, and exceptional organizational skills
79

Assoc Dir, Advanced Analytics Resume Examples & Samples

  • 6+ years of professional experience in a quantitative role in Analytics, Data Science, Marketing, Technology or Management Consulting preferred
  • Professional experience as a cross-functional project lead working with technical and non-technical stakeholders to solve complex business and marketing challenges through advanced analytics
  • Professional experience applying advanced analytic methods to complex problems and communicating concepts, results and project details to key stakeholders
  • Professional experience managing the work of multiple direct reports and building technical teams
  • Demonstrated thought leader for teams and clients on programming languages, statistical methods and analytic approaches
  • Professional experience with several of the following: linear and logistic regression, discriminant analysis, dimensionality reduction, clustering, multivariate testing, text mining or complex data management and transformation
  • Expert knowledge of at least one of R, Python or SAS. Knowledge of SQL, Hive, Hadoop, Amazon Web Services, Linux and/or Javascript strongly preferred
80

Advanced Analytics Enablement Resume Examples & Samples

  • 6+ years of relevant technology architecture consulting or industry experience
  • Willingness to travel to client locations (80%)
  • Experience designing and implementing reporting and visualization for unstructured and structured data sets
  • Experience designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching
  • Development of statements of work and/or client proposals
  • Develop and manage vendor relationships
  • Ability to scope out the effort and cost for an enterprise reporting solution
81

AVP, Advanced Analytics Resume Examples & Samples

  • Implement a program to ensure appropriate governance of GRC models
  • Perform analysis of risk and operational data to identify key insights to improve business results and develop management reporting to facilitate ongoing awareness and continuous improvement
  • Research, analyze, and recommend data solutions which meet the business needs for GRC applications and associated projects. Interface with key GRC business users and BTS technical staff to translate business user requirements into technical data documentation such as data use cases, data process diagrams, functional design documents, and other system documentation required by GRC
  • Actively lead team and project meetings
  • Bachelor’s degree from four-year College or University; preferably in Mathematics, Statistics, Economics, Finance, Physics, Engineering (Master’s Degree is a plus)
  • Ability to research and review data conditions and translate them into recommendations, then lead and contribute to the development and implementation of appropriate technical solutions
  • Experience in Data Analysis, Data Processing, Data Warehousing, ETL, Master Data Management and Business Intelligence Reporting
  • Knowledge and experience with Tableau
  • Knowledge and experience with an Analytics Programming Language(s); such as R, SAS, SPSS, Minitab, Python, MATLAB
82

Professional Advanced Analytics Resume Examples & Samples

  • Solve challenging problems regarding our video platforms by transforming raw data from different sources (both batch and near-real-time)
  • Report these insights by building rich, high-visibility reports/dashboards/tools used by our direct stakeholders, senior management and a diverse set of teams across the company
  • BA/BS in Mathematics, Statistics, Computer Science or other quantitative field
  • 3-5 years related experience in advanced analytics, big data, relational database structures, research methods, sampling techniques, and system testing
  • You have excellent communication skills to present findings to both a technical and not-as-technical audience, and can manage stakeholder priorities directly
  • You have a thorough understanding of statistics, machine learning and big data
  • You have experience in a data-driven environment designing and building metrics-focused deliverables,­ ideally in a technical, consumer-facing and/or mobile technology business
  • You’re enthusiastic and detail-oriented about producing high­-quality data and business analytics, often with requirements that are open-ended
  • You have a high degree of comfort in leveraging SQL to manipulate data and/or other big data querying languages
  • You have experience with analytical packages such as R or SAS and at least one analytic reporting platform (Tableau, MicroStrategy, etc.) or data visualization libraries (ggplot, Highcharts, D3.js, etc.)
  • You have strong software development skills in one or more programming/scripting languages (Python, Java, etc.)
  • You have working knowledge of ETL and data warehousing concepts
  • You are responsive, team-­oriented and comfortable working in a dynamic organization with minimal structure and process
83

Digital Advanced Analytics Roles All Levels Resume Examples & Samples

  • Strong academic qualifications in Mathematics, Computer Science, Engineering, Artifical Intelligence or a related discipline
  • Skills or experience in the Enterprise Artificial Intelligence domain including Machine Learning, Natural Language Processing, Ontologies, Deep Learning, Video & Image Analytics, Speech Analytics, Virtual Agents
  • Proven experience in statistical modeling, machine learning, data mining and unstructured data analytics
  • Proficiency in analysis tools such as R, Python, SAS, SPSS, Matlab or Mathematica
  • Experience working with large data sets and tools like MapReduce, Hadoop , Hive and equivalent technologies
  • Proficient skills in visualisation analytics technologies like Tableau, Qlikview
  • Prior experience within a Consulting environment will be highly advantageous
  • Experience working with large entreprise-level data sets
  • Ability to work in a global collaborative team environment, very good interpersonal skills and ability to present in front of an audience
  • Strong interest in problem solving, leading edge technology and user experience
  • Ability to work in a global collaborative team environment
  • Eligibility for a sponsored work visa and a willingness to relocate to Dublin, Ireland
84

VP Advanced Analytics Resume Examples & Samples

  • Define advanced analytics Consumer Health ( CH) divisional strategy
  • Identify opportunities to apply advanced analytics (i.e., methods, approaches, tools, etc.) across the organization
  • Propose how to best build advanced analytics capabilities within the business unit, including recommended tools and, internal and external resourcing
  • Partner with other senior leaders (i.e., Head of Portfolio Management, Sales, Marketing Services, Finance) to build a culture of data-driven decision making across the organization
  • Identify and build relationships with potential external vendors or parties who may assist in the building of the advanced analytics capability
  • Serve as a sparring partner for senior leaders in peer business units, building a holistic understanding of business units’ needs for advanced analytics
  • Constructively challenges status quo thinking and assumptions, while providing an environment which cultivates experimentation, nurtures fresh perspectives, and sparks innovative ideas
  • Identify and communicate innovative applications of advanced analytics that can be leveraged across multiple business areas
  • Build frameworks and quality control mechanisms to ensure highest levels of data integrity
  • Oversee Divisional Marketing Mix Analysis Tool and generating recommendations for optimization
  • Bachelor’s degree required; PhD highly preferred in a relevant Data Science field
  • Bachelor’s degree with at least 15 years of relevant experience or an equivalent combination of education and experience. Relevant experience includes but is not limited to: life sciences, healthcare, fast moving consumer goods, consumer packaged goods and/or finance
  • Background in advanced analytics, marketing analytics (e.g., customer data, sales, big data), management consulting, and/or finance
  • Demonstrated track record in influencing without authority
  • Superior analytical skills, in particular ability to apply in a decision-making context
  • Excellent communication skills, both oral and written, with the ability to speak clearly and concisely in front of large groups
  • Fosters respect for diversity while resolving conflict collaboratively
85

Advanced Analytics Leader Resume Examples & Samples

  • The Leader is responsible for guiding and directing Managers of talented modeling teams designing, developing, and deploying state-of-the-art, data-driven predictive models to solve business problems using the latest technologies in neural networks, machine learning, statistical modeling, pattern recognition, and artificial intelligence
  • Ensure high quality on time delivery of the Analytic Roadmap and projects
  • Managing highly talented analytic resources
  • Developing Managers and Scientists on the team in their career development
  • A key responsibility is the development of a repeatable analytic development methodology which is effective and easily understood by the business
  • Developing a repeatable analytic methodology that can be leveraged to build a "Analytic Factory" or delivery capability
  • Bringing expertise with different types of algorithms and modeling processes
  • Working directly with clients and supporting models in production
  • Play a central role in the Action, Insight & Analytics Leadership team providing insight and new ideas for both growth and efficiency opportunities leveraging data and analytics
  • Bachelor’s degree in a science, engineering, mathematics, computer science or related discipline
  • Minimum 5 years of experience advanced analytics modeling/development experience
  • Minimum 3 years of experience leading a data science team
  • Master's or Ph.D. degree in a science, engineering, mathematics, computer science field highly preferred
  • Experience with modeling software (R, Python, SPSS, SAS)
  • Experience with visualization software (Tableau, Spotfire, Qlikview, d3.js)
  • Experience leading a team of 20+ resources across level of experience and training junior data scientist in Machine Learning & Advanced Analytic development
  • Experience developing a consistent analytic development methodology and process
  • Experience working with remote and global teams
  • Strong customer focus and process discipline
  • Highly team oriented
  • Demonstrated success in cross business leadership roles
86

Advanced Analytics Resume Examples & Samples

  • Previous experience in a health care clinical environment; 1-2 years of related work experience
  • Use of business knowledge, innovative thinking, and sound judgment in the solution of problems or the pursuit of business opportunities
  • Skill to be flexible in one’s viewpoints and positions in order to support the direction taken by others at TEC
  • Ability to learn both business and systems processes; to identify and prioritize business needs; to collect, express and manage requirements (use cases, data modeling, process modeling, context diagrams, systems diagrams, etc.) and ability to learn financial and business value analysis
  • Demonstrated ability to manage and resolve conflict
  • Demonstrated ability to understand and explain issues from both a technical and a business functional point of view
  • Ability to conceptualize and recommend solutions to business problems
87

Advanced Analytics Client Business Partner Resume Examples & Samples

  • Understanding of the current market dynamics and implications for our clients and their brands
  • Working with clients to understand and identify their key business questions with regards to Trade/Media Spend Optimisation
  • Advising on development of proposals and project scopes based on client need
  • Analysis of model outputs to deliver consultative recommendations
  • Support our clients in their strategy planning – via strategic analysis and simulator tools
  • Presenting client debriefs to senior level stakeholders
  • Independent worker, capable of leading client team, who also contributes to the overall objectives of a team
  • Though Leadership – integration across Nielsen business units, driving industry knowledge
  • Substantial FMCG industry experience
  • Excellent communication skills, ability to read others’ styles and adapt behaviour accordingly
  • Ability to articulate technical information in a simple, impactful way
  • Ability to operate and influence across various levels and stakeholders in the organisation
  • Ability to contribute to team growth and capability
88

Analyst, Advanced Analytics Resume Examples & Samples

  • Support U.S. Consumer Markets $3+ billion, 2400 person APD claims organization
  • Identify and analyze key drivers of financial/operational trends countrywide & at office/state level
  • Develop, update, and monitor reports that provide insights on our key performance indicators
  • Partner with Process and Field team to identify, design, quantify, and implement process/tech improvements
  • Respond to ad-hoc requests
  • Minimum 2+ years of relevant experience
89

Senior Advanced Analytics Resume Examples & Samples

  • Conduct end-to-end analysis that includes data gathering, requirements/KPI specifications, processing, statistical analysis, ongoing deliverables and presentations
  • Build statistical models to understand our customers network experience and predict/prevent failures at our broadcast centers to reduce outages
  • Make business recommendations (e.g., cost-benefit, forecasting, hypothesis testing, optimization) with effective presentation of findings at multiple levels of stakeholders through visual displays of quantitative information
90

Senior Manager Category Management & Advanced Analytics Resume Examples & Samples

  • Provide foundational category story and category/consumer knowledge decks that enable Field Cat Man/Sales to be more effective in customer discussions (e.g. Category Roadmaps, 101 Education decks) and drive stronger retail performance through insight activation
  • Develop and deploy shelving, assortment, pricing and promotion guidelines
  • Collaborate with cross-functional teams to develop initiative-specific category stories and new item launch decks, guiding customer-appropriate tone, narrative, and content
  • Support category reviews at key customers, with recommendations and content that reflects awareness of customer strategies
  • Develop customer-specific strategies that will drive category growth and Del Monte success
  • Foster stronger linkage between Marketing and Field CatMan/Sales -- drive understanding and execution of Del Monte business objectives, while championing customer understanding within HQ
  • Manage supplier execution of advanced analytics projects
  • Manage customer-focused syndicated data agreements
  • 10+years' experience in category management; CPG experience a plus
  • High level of proficiency in analyzing syndicated data and shopper panel metrics
  • Experience applying a wide range of consumer and shopper insight data sources
  • Experience with advanced analytic methodologies (e.g., Purchase Structure, Pricing and Promotion
  • Ability to translate complex and/or detailed information into a concise, easy-to-understand format, modified as necessary to reflect audience needs
  • Demonstrated consulting skills; able to listen, interpret, and influence
  • Ability to tell a story, pulling from multiple data sources to build a deeper, holistic understanding
  • Comfortable championing a strong, consumer and customer-centric point of view
  • Flexible and nimble - can adapt to changing priorities and needs
  • Strong work ethic with a willingness to jump in and help
  • Intellectually curious -- digs deep to better understand data
91

Senior Advanced Analytics Resume Examples & Samples

  • Typically possesses strong understanding of internal business segment or stakeholders and strong presentation skills
  • 5-8 years in advanced analytics, big data, relational database structures
  • Apply advanced analytics techniques (data visualization, data mining) to extract actionable insights through analysis of large-scale, multi-dimensional data
  • Distill complex analytics into a simple compelling story, then present that story to executive stakeholders
  • Experience in statistical analysis tools like SAS, R, SPSS etc
  • Proficiency in SQL / Teradata / Vertica
  • Strong conceptual and creative problem-solving skills; ability to work with considerable ambiguity; ability and curiosity to learn new and complex concepts quickly
  • Understanding of the fundamentals of statistics applied to solving business problems
  • Experience diving into new data that hasn’t been analyzed before, and connecting a variety of complex data types from different sources
92

Analyst, Advanced Analytics Resume Examples & Samples

  • Conduct in depth analyses of eService performance across a variety of strategic online and mobile projects, and present recommendations to team members, product owners, and senior management
  • Bachelor's degree required with 2-5 years of related experience
  • Ability to effectively balance various tasks simultaneously and adapt to shifting or competing priorities in a fast-paced working environment
93

Advanced Analytics Resume Examples & Samples

  • Client-facing interaction including providing analyses, recommendations, presentations and advice to clients
  • Understands the strategic direction set by senior management as it relates to team goals
  • Minimum of 5 years of increasing experience in management consulting or industry
  • Minimum of 5 years delivery experience in advanced modeling environment
  • Experience in the analysis of marketing databases using SAS or other statistical modeling tools
94

Principal Advanced Analytics Resume Examples & Samples

  • 10+ years in advanced analytics field
  • Video streaming analytic experience a major plus
  • SAS, SQL, Python, Hive experience
  • Experience in supervising a team
  • Experience in Churn and Revenue analytics
  • Bachelor's degree or preferably, an Advanced degree in Analytics, Statistics, Computational Science, Computer Science or Technical MBA
95

Advanced Analytics & Optimization Specialist Resume Examples & Samples

  • Position requires a MS or PhD degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Manufacturing Management or related discipline
  • 0-5 years experience or strong knowledge of applying advanced analytics techniques such as optimization, simulation, forecasting, statistics, classification and clustering techniques
  • Strong programming skills with working knowledge of SQL, VBA, and simulation programming
  • Strong MS Excel, MS Access, and Statistical package (e.g. Minitab, SPSS, SAS, R, etc.) skills
  • Position requires fluency in English
  • Excellent communication, analytical, facilitation, and networking skills
  • Ability to work independently and within a team to solve challenging problems
  • Basic project management and facilitation skills with the ability to influence, work effectively, and implement solutions in a cross-functional, multi-regional team environment
  • Strong leadership potential
  • Position requires the ability to travel internationally
  • Knowledge of IBM SPSS Modeler or SAS Enterprise Miner for predictive analytics analysis is a plus
  • Fluency in Mandarin is a plus
  • Knowledge of AIMMS or other optimization software is a plus
96

Senior, Advanced Analytics, Directv NOW Resume Examples & Samples

  • Develop interactive Tableau visualizations that quickly communicate business insights from complex data
  • Create in depth analysis on customer content and viewership
  • Performance exploratory analysis on complex data
  • Automate and integrate new scripts and software solutions to increase speed of data analytics and visualization
  • Perform data studies and data discovery around new data sources and new uses for existing data sources
  • Independently applies sophisticated analysis to drive business performance
  • Strong data visualization and communication skills
  • Solves unique problems with limited guidance
  • Develops new concepts/methods/techniques for cross functional initiatives
  • Highly creative and strong communicator
  • Experience with Tableau or similar data exploratory analytics tools (QlikView, Spotfire) required
  • Experience with SQL, additional programming languages a plus
  • 5-8 years related data insights experience
  • Bachelors required, Analytics, Computer Science or Scientific Computing a plus; MBA or Masters in Analytics preferred
  • Visualization and Dashboard development
  • Data Architecture
97

Advanced Analytics Enablement Resume Examples & Samples

  • Manage teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures
  • Formulate planning, budgeting, forecasting and reporting strategies
  • 6+ years of relevant Analytics consulting or industry experience
  • At least 2 years of experience in Natural Language Processing (NLP), Linguistics, Advanced Semantic Design, Visualization
  • At least 6 mo of experience in implementing IBM Watson, Cognitive scale, or Apache Mahout
  • Bachelor's Degree in Engineering, Mathematics, Emperical Statistics or equivalent professional experience
  • Willingness for weekly client-based travel, up to 80-100% (Monday — Thursday/Friday)
98

Advanced Analytics Enablement Resume Examples & Samples

  • 2+ years of relevant Analytics consulting or industry experience
  • At least 6 months experience in Natural Language Processing (NLP), Linguistics, Advanced Semantic Design, Visualization
  • At least 6 months experience in implementing IBM Watson, Cognitive scale. Apache
  • At least 1+ years in Java Programming at User Interface (UI) level
  • Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation
99

Advanced Analytics Enablement Resume Examples & Samples

  • 3+ years of relevant Analytics consulting or industry experience
  • At least 6 mo experience in implementing IBM Watson, Cognitive scale, Apache
  • At least 2+ years in Java Programming at User Interface (UI) level
100

Advanced Analytics Enablement Cognitive Manager Resume Examples & Samples

  • Manage full life cycle implementations
  • Develop statements of work and/or client proposals
  • Assist and drive the team by providing oversight
  • Bachelor's Degree in Engineering, Mathematics, Emperical Statistics or 4 years equivalent professional experience
  • Ability to travel 80-100% of the time (Monday – Thursday/Friday)
101

Advanced Analytics Enablement Specialist Master Resume Examples & Samples

  • A Specialist Master leverages deep subject matter knowledge in some area of interest to manage and deliver large, complex client engagements that identify, design, and implement creative business solutions and technology solutions for large cross industry clients
  • Responsibilities include, among others, managing teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures
  • Design and implement data ingestion techniques for real time and batch processes for video, voice, weblog, sensor, machine and social media data into Hadoop ecosystems and HDFS clusters
  • Perform data studies and data discovery routines for video, voice, weblog, sensor, machine and social media data sources or mash ups of new and existing data sources
  • Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the organization
  • At least 1 year hands-on working experience with one or more of the following Big Data technologies: Hadoop, Mahout, Pig, Hive, HBase, Sqoop, Zookeeper, Ambari, MapReduce and R including commercial distributions of HDFS (Hortonworks, Cloudera, Pivotal HD, MapR)
  • At least 1 year experience in Information delivery, Analytics and Business Intelligence based on data from hybrid of Hadoop Distributed File System (HDFS), non-relational (NoSQL, MongoDB, Cassandra) and relational Data Warehouses
  • Bachelor’s Degree or 4 years equivalent professional experience
  • Experience working as a Data Scientist
  • Knowledge of data, master data and metadata related standards, processes and technology
  • Experience working with multi-Terabyte data sets
  • Experience with Hadoop Cluster Administration
  • Experience with Data Integration on traditional and Hadoop environments
  • Eagerness to mentor junior staff
  • An advanced degree in the area of specialization is preferred
  • Identify business opportunities to increase usability and profitability of information architecture
  • Ability to define how an enterprise information system will align with the organization's business and strategic objectives
  • Ability to manage multiple teams on a data warehousing engagement
102

Analyst, Advanced Analytics Resume Examples & Samples

  • Ability to structure and develop recommendations to solve complex problems leveraging advanced analytics (data mining, data visualization, and predictive modeling)
  • Analyze usage trends of different investment products and platforms to influence product management strategies
  • Conduct ad-hoc analyses as appropriate to support priority business projects; Respond in a timely manner to ad-hoc questions from executives
  • Ability to think independently, creatively problem solve, and connect various thoughts, observations, and results into innovative solutions
  • Bachelor's degree in Decision Information Science, Engineering, Mathematics, Finance, Economics, Marketing, or related discipline is required
  • At least 4-5 years of related work experience in sales analytics, client analytics, business intelligence or advanced analytics
  • Financial Services industry experience a strong plus
  • Expertise in working with relational databases, e.g., SQL Server, Oracle
  • Experience in statistical analysis tools, such as R (preferred), Python, Minitab, SAS, or SPSS a plus
  • Experience with a programming or scripting language (e.g., Java, C++, Perl, Python) a plus
  • Experience working with dynamic data visualization tools like Tableau a plus
  • Project management experience with a proven track record of managing multiple projects at once in a fast-paced environment
  • Ability to translate findings into business insights and to communicate them in a way that is clear and meaningful
  • Ability to synthesize and work with various data types from a variety of sources, e.g., operational, transactional, financial, survey, third party vendor, and macroeconomic
  • Strong teamwork and experience in collaborating with individuals across lines of business, functional areas, and different levels of an organization
103

Senior, Advanced Analytics, Directv NOW Resume Examples & Samples

  • Exhibits strong data visualization and communication skills
  • Demonstrates high creativity and is a strong communicator
  • Has experience with Tableau or similar data exploratory analytics tools (QlikView, Spotfire) required
  • Is experienced with SQL, additional programming languages a plus
  • Has 5-8 years related data insights experience
  • Bachelors degree required- Analytics, Computer Science or Scientific Computing is a plus; MBA or Masters in Analytics preferred
104

Advanced Analytics Enablement Resume Examples & Samples

  • Engagement Management: Lead engagement planning and budgeting; mobilize and manage engagement teams; define deliverable structure and content; facilitate buy-in of proposed solutions from top management levels at the client; direct on-time, quality delivery of work products; manage engagement economics; manage engagement risk
  • Client Management: Manage day to day interactions with executive clients and sponsors
  • Business Development: Develop and maintain contact with top decision makers at key clients; organize and lead pursuit teams; participate and lead aspects of the proposal development process; contribute to the development of proposal pricing strategies
  • Practice Development & Eminence: Develop practical solutions and methodologies; develop "thoughtware" and "point-of-view" documents; participate in public speaking events; get published in industry periodicals
  • People Development: Perform role of counselor and coach; provide input and guidance into the staffing process; actively participate in staff recruitment and retention activities; provide leadership and support for delivery teams and staff in local offices
  • 8+ years of relevant technology architecture consulting or industry experience
  • 6+ years of Life Science consulting experience
  • To conceptualize, design and assist in the implementation of new and existing systems, middleware, data warehouse and production architectures
  • Identify and promote best practices and patterns for data modeling, and provide oversight for all activities related to data cleansing, data quality and data consolidation using standard data modeling methodologies and processes
  • Provide support on data quality components during the implementation of the solution architecture
105

Professional, Advanced Analytics Resume Examples & Samples

  • 3+ years of experience in data analytics or related field
  • BS/BA in business, mathematics, statistics, computer science or related quantitative fields
  • Proficient in SAS and/or SQL
  • Experience with large transactional databases
  • Must possess a solid understanding of basic statistics and consumer marketing
  • Experience in large media, technology, ecommerce, or other subscription based company is a plus
106

Principal, Advanced Analytics, Visualization Resume Examples & Samples

  • 5+ years of experience in data analytics or related field
  • BS/BA in business or related quantitative fields
  • Advanced Tableau (or similar visualization tools such as QlikView, Spotfire, PowerBI)
  • Advanced in business analytics
  • Must possess a solid understanding of data warehousing and creating analytic datasets
  • Strong communication skills and ability to influence others
  • Prior experience managing a team is preferred
107

Dir Advanced Analytics Resume Examples & Samples

  • Your position is a key leadership role, reporting to the VP of Life and Disability Services, providing analytical leadership support for an organization
  • Initially, you’ll be an individual contributor but will be able to grow and lead a small team over the next couple of years to support the needs of the business while evaluating team size needed over time. Once established, you’ll manage a small team of analysts/scientists ensuring advanced predictive analysis to generate business recommendations
  • You’ll build strong credibility and effective and trusting relationships with your peers and other stakeholders to ensure data and analytics needs are met to support the business
  • You’ll serve as a strategic resource and trusted advisor with internal stakeholders, offering thought leadership
  • You'll analyze and validate findings, creating reports, presentations and visualizations.Using your analytical skills, you’ll study trends and provide insightful data to propose areas of needed focus and attention. You’ll use existing as well as identify new data benchmarks, metrics and tools using appropriate key performance indicators to ensure outstanding service delivery
  • You’ll lead and manage advanced analytic projects, data mining and statistical modeling operations to identify underlying trends and patterns to promote informed business decision making
  • You’ll partner with senior leaders and inform them of those trends and patterns including competitive intelligence and operational insights based on sophisticated analytical tools and methodologies
  • You’ll provide strategic input on and thought partnership on large-scale, highly complex projects/business issues, typically with significant scope
108

Analyst, Advanced Analytics Resume Examples & Samples

  • Contribute to the execution, documentation and interpretation of analytics
  • Assist in the development and testing of queries in multiple programming languages (SQL, R, Python)
  • Conduct analysis for one of several Inmar business areas using a variety of data types, sizes and sources including transactional and loyalty card data for retail clients and others (TBC) not limited to but including support for Supply Chain and Healthcare analytics
  • Produce data extracts for promotion targeting, product and customer profiling as well as some statistical analysis such as clustering and regression
109

Dev Team Lead-worldwide Advanced Analytics Team-coc Team Resume Examples & Samples

  • Bachelor’s degree in Engineering, Computer Science or equivalent degree/experience
  • 5+ years of experience as a full stack developer using modern technologies such as: AngularJS, ReactJS, NodeJS + Express, Python + Flask, MongoDB, MySQL, Java
  • 2+ years of experience as a data scientist utilizing concepts such as data mining, regression, decision tree, clustering, natural language processing, neural net, optimization, and network analysis
  • Experience working in a development team and an agile environment
  • Willingness for significant global travel
  • Self-learner, willing to try “crazy” things, out-of-the-box thinkers
  • Fluent in English with very strong communication and business presentation skills
  • Ability to work within a cross-functional group of peers and handle multiple projects with tight deadlines
  • Must be self-motivated, detail oriented and know when to seek guidance
  • Master’s degree in Engineering, Computer Science or equivalent degree/experience
  • 5+ years of experience as a data scientist utilizing concepts such as data mining, regression, decision tree, clustering, natural language processing, neural net, optimization, and network analysis
  • Experience developing in an enterprise production environment or for enterprise clients
  • Experience with D3 and/or Leaflet.js
110

Advanced Analytics Leader Resume Examples & Samples

  • The adoption of business analytics in client settings, where both structured and unstructured analytics are important
  • Utilizing your hands-on analytics expertise, client-facing experience, and
  • Using your acumen for solving business problems using quantitative methods like statistical modeling, mathematical optimization or logical visualization
  • Predictive Analytics and Forecasting
  • Prescriptive Analytics
  • Unstructured Content Mining or
  • Natural Language Processing
  • Cognitive Computing and / or
111

Entry Level Advanced Analytics Resume Examples & Samples

  • Excellent interpersonal skills - "Customer Focus"
  • Willingness to travel (80%) of the work week
  • Ability to excel in a team oriented, project based work
  • Demonstrated leadership experience in an academic, extracurricular or professional setting
  • Previous work, internship or co-op experience, preferably with customer-facing responsibilities
  • Strong critical thinking skills, and the ability to think on your feet
  • Ability to learn in a fast-paced environment
  • Process documentation and analysis
  • Requirements gathering methods and tools
  • Understanding of software development and implementation life cycle
  • Knowledge of a development methodology