Advanced Analytics Resume Samples

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F Schoen

Freeman

Schoen

21598 Anastasia Divide

San Francisco

+1 (555) 141 5807

21598 Anastasia Divide

San Francisco

Phone

p +1 (555) 141 5807

Experience Experience

New York, NY

Advanced Analytics

New York, NY

Hettinger-Torphy

New York, NY

Advanced Analytics

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

Detroit, MI

Analyst, Advanced Analytics

Detroit, MI

Walter, Kling and Leuschke

Detroit, MI

Analyst, Advanced Analytics

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

present

Dallas, TX

Manager of Advanced Analytics

Dallas, TX

Lehner-Walker

present

Dallas, TX

Manager of Advanced Analytics

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

Education Education

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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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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)

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

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

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

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

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

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)

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

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

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

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

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

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

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

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

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

Advanced Analytics Internship Resume Examples & Samples

Initiative
Organising & monitoring
Personal development

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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)

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

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

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