Senior Analytics Resume Samples

4.6 (99 votes) for Senior Analytics Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the senior analytics job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Resume Builder
CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.
USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.
SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Create a Resume in Minutes
BK
B Koepp
Bertram
Koepp
9463 Ashtyn Haven
Philadelphia
PA
+1 (555) 550 0619
9463 Ashtyn Haven
Philadelphia
PA
Phone
p +1 (555) 550 0619
Experience Experience
Philadelphia, PA
Senior Analyst, Offer Management & Analytics
Philadelphia, PA
Metz LLC
Philadelphia, PA
Senior Analyst, Offer Management & Analytics
  • Provides weekly, monthly, and annual reports. Provides special reports and analyses to support the business as necessary
  • Analyzes financial and operational reports and communicates findings and risks; makes suggestions to improve processes
  • Provides user feedback to management and helps influence future systems enhancements
  • Provides analysis prior to and following any recommended changes
  • May create and maintain compliance reports that identify discrepancieswithin the Company's billing systems
  • Creates and maintains multiple operational reporting tools
  • Provides analytical support of actual results against budget and feasibility of proposed business strategies
Los Angeles, CA
Senior Director of Analytics
Los Angeles, CA
Wunsch, Beer and Schmitt
Los Angeles, CA
Senior Director of Analytics
  • Provide developmental and managerial leadership to the Analytic Consulting Group
  • Provide hands-on technical guidance to data science problems the team is working on
  • Provide overall direction to the development of advanced analytic solutions and strategies to new and existing clients
  • Help shape the direction for data science across the company as well as providing direction for research in to data .science tools and techniques
  • Manage the allotment of multiple resources and projects concurrently to ensure successful completion of analytic projects
  • Contribute to the entire product development process, including participation in design and prototype activities
  • Development of case study materials from prior analytic projects, in support of sales efforts demonstrating capabilities
present
Detroit, MI
Senior Director, Consumer Analytics
Detroit, MI
Klein, Schuster and Moore
present
Detroit, MI
Senior Director, Consumer Analytics
present
  • Creating consumer audience models to drive advertising sales
  • Developing predictive modeling solutions to target audiences interested in TURNER programming and product adoption
  • Mining extensive TDC database to craft consumer profiles that inform and shape brand marketing decisions
  • “Productionalize” the TDC model development and scoring processes
  • Provide leadership in the evaluating and gauging the effectiveness of new data sources
  • Communicate analytical results to TDC leadership and to executives in TURNER's brands/businesses
  • Establish and cultivate Turner's consumer analytical organization
Education Education
Bachelor’s Degree in Finance
Bachelor’s Degree in Finance
The University of Texas at Austin
Bachelor’s Degree in Finance
Skills Skills
  • Experience with data visualization programs, such as Tableau, Spotfire, or Qlik
  • Ability to simplify and explain complex, technical topics to a non-technical, time-constrained audience
  • Familiarity with HDFS, BigQuery, Spark, Hive, and/or Storm
  • Experience with statistical methods and models, including testing, forecasting, and modeling
  • Expertise with MS Office (full suite), including Share Point
  • Familiarity with Lean/Six Sigma/Agile principles
  • Modelling experience with : SAS, SQL, R, SPSS, or Python
  • Eagerness to learn and expand capabilities of the Sales Performance & Analytics team
Create a Resume in Minutes

15 Senior Analytics resume templates

1

Senior Analyst Mktg Analytics Resume Examples & Samples

  • Support, inform and guide line of business with ad-hoc reporting and analysis, customer and market insights to help inform and influence Marketing and Sales strategies
  • Analyze data from multiple sources, across channel, including social, mobile, call center, email and web to provide a more holistic view of the customer, identify quality leads and actionable insights
  • Develop relevant measure and benchmarks and KPI to demonstrate the incremental value of marketing activities and ensure insights are actionable and aligned with overall financial and business goals
  • Manage rigorous quantitative and qualitative analyses; evaluate the effectiveness of multi-channel marketing programs (which include web, email, direct campaigns); identify key touch points and factors that influence and predict customer behavior
  • Pursue customer profiling, segmentation, lifetime value, attrition/retention, acquisition, lead generation, and forecasting research projects that strive to increase customer share, revenue and company profitability
  • Develop a deep understanding of our customers, based on market trends, investor behavior, competitors and local dynamics to inform and guide Marketing and Sales tactics, including campaign and key messages
  • Use analytical and experimental design techniques to test hypotheses and validate targeting and segmentation strategies
  • 4-6 years’ experience in Marketing Analytics, or Marketing and business related field
  • Bachelor’s or Master’s Degree in Business Administration, Mathematics/Statistics or related field (tier 1 or 2 institutions), or equivalent combination of education and experience
  • Financial Services experience, highly preferred
  • Strong use of databases/technology skills
  • Candidate must possess good communication and interpersonal skills in order to interact with various levels and functional groups; must also possess excellent presentation and story telling skills and be feel confortable presenting to executive levels
  • Must be proactive, flexible and adaptable, as priorities can change quickly in a fast paced environment
  • Must be excellent at managing time and projects, and mitigate project risks effectively
  • Must be willing to take initiative and share ideas openly with Engagement Lead and other team members
  • Strong experience in marketing analysis, campaign management and customer segmentation
  • Excellent understanding of advanced statistical techniques, including uplift modeling, logistic regression and cluster analysis
  • Can develop and produce routine and non-routine reports and analysis of intermediate to complex scope
  • Interpret reports, providing analytical commentary and recommendations for change through actionable insights which drive measurable results
  • Demonstrates an intermediate to advanced ability to perform mathematical calculations and analysis
  • Strong knowledge of working on databases, BI tools like BO, Cognos, Microstartegy and visual tools like Tableau
  • Expert knowledge of SAS and understanding of SQL programming
  • Advanced knowledge of statistical tools (SAS, E-Guide, E-Miner) to mine data and build predictive models using a variety of methods (linear/logistic regression, CRT, CHAID, etc) used for segmentation, response modeling, defection modeling, etc
  • Advanced: Excel, Word, PowerPoint
  • Basic: Access, Visio, Project
2

Senior Analyst Mktg Analytics Resume Examples & Samples

  • Develop recommendations and implications to guide decision-making for marketing and other business partners. Consult on analytical aspects of campaign strategy, test design & tracking
  • Leverage knowledge of database, statistics, applied mathematics, and risk dynamics to enhance the accuracy of customized models and related forecasts
  • Develop and provide routine and non-routine reports of complex scope, and delegate this work to others, using multiple reporting systems
  • Solid understanding of all active data sets, tables, libraries, data locations and update frequencies
  • Extract data from appropriate sources in a complex warehousing environment. Require in-depth knowledge of data elements
  • Perform complex data processing (e.g. merging, sorting, data transformations) using SAS, Access, or other ETL tools on PC
  • Analyze data and develop creative solutions. Ability to provide ongoing updates via written and verbal communications
  • Identify and analyze key performance metrics and trends
  • Establish, implement and maintain best practices
  • Develop an open, collaborative approach to working with other analysts within the Client Insights team, with particular emphasis on collaborating with, and supporting team outside of Client Insights
  • Develop recommendations and implications to guide decision-making for marketing and other business partners
  • Bachelor’s or Master’s Degree in Business Administration or related field (tier 1 or 2 institutions), or equivalent combination of education and experience
  • Must be able to lead junior team members and translate general strategic direction into tactical execution by the team (leadership experience would be an asset)
  • Basic understanding of various statistical techniques used in marketing analytics
  • Solid knowledge of SAS and basic understanding of SQL programming
3

Senior Specialist Analytics Resume Examples & Samples

  • Assist in the design, development, maintenance, and management of databases/data marts to provide complete, timely, accurate information in support of Retail Credit Risk analysis and reporting. Responsible for new system development (including data marts, OLAP cubes and reports), on-going maintenance and enhancement of existing tools and systems, supporting business ad hoc queries
  • Support a standard and integrated risk information system, conduct business analysis of multiple source databases. Develop and validate data marts, investigate data issues; and prepare data dictionary and metrics documentations
  • Support monthly/quarterly executive and management reporting process by compiling and validating information from various sources. Assist in data interpretation and commentary
  • Design, develop, implement, and maintain credit risk reports in Excel, Access, VBA and SAS, according to business requirements. Validate and test reports, and reconcile end-report with various information sources
  • Collect and author business and technical requirements/specifications. Ensure all processes are documented and appropriate controls are in place to satisfy audit/compliance requirements
  • Work with technology teams to identify issues and implement solutions. Respond promptly to ad hoc requests/queries
  • Assist in the development and implementation of data and reporting enhancements driven by the Retail Credit Risk Roadmap within a framework that is compliant with new Risk Data Aggregation & Reporting (RDAR) principles
  • Statistics, Data Mining, Business Intelligence and process automation software packages
  • Data Warehousing knowledge & experience, including the management of multiple data sources
  • Experience with manipulating large and complex databases
  • Design, development and implementation of decision support data managementnalysis applications
  • Maintaining a broad knowledge of current technology and practices; must have experience with the following
  • Knowledge of multiple computer languages, data modeling, and design
  • Office Applications including MS Access, MS Excel, Other MS Office products, Project Management, Visio and Adobe Acrobat
  • Advanced database application such as MS SQL server, Business Intelligence tool and analytics including SAS, Cognos, Business Objects
  • Data Management, Database Design including data modeling and Data Warehousing skill
  • Knowledge of retail credit products, policies, portfolios and delivery systems
  • Substantial risk reporting experience will be required together with an understanding of risk data and statistics
  • A strong knowledge of the Bank’s technical platform applications
  • Industry knowledge of trends and best practices
  • Must be accurate and thorough; effective time and project management; strong team work and communication skills
4

Senior Analyst, Offer Management & Analytics Resume Examples & Samples

  • Responsible for the review and approval of any billing system configuration changes and new product launches to support offer strategy
  • Partner with Division reporting team to track various offers and scenarios by market and analyze results to determine compliance and overall success
  • Provide ad hoc analysis for various revenue scenarios and strategies. Determine risks and opportunities associated with each scenario and present financial point of view
  • Assess and provide weekly and monthly analysis of sell-in performance, average revenue per unit, product dispersion, roll-off realization and side-grade activity
  • Analyze bundle activity weekly/monthly and publish in-depth reports to target eligibility risks
  • Analyzes financial and operational reports and communicates findings and risks; makes suggestions to improve processes
  • Supports efforts to maintain accurate master data. Extracts data andprovides analysis of master and transactional data
  • May create and maintain compliance reports that identify discrepancieswithin the Company's billing systems
5

Senior Analytics Resume Examples & Samples

  • Collaborating with stakeholders, subject-matter experts, and business users to gather requirements and refine user stories
  • Leading the entire data mart build and report/dashboard development lifecycle, including designing and planning, developing, debugging, monitoring and troubleshooting BI solutions
  • Conducting data discovery, analysis, and profiling of data, validating business requirements, providing inputs into functional design, and identifying data quality or integrity issues
  • Writing relational and multidimensional database queries, creating and deploying reports and maintaining database servers
  • Performing data mining, analysis, and ad-hoc reporting requests using reporting tools
  • Demonstrating strong analytical and problem solving skills; a strong cube/analytical data model design background preferable
  • Supports, maintains and enhances existing BI solutions and associated reporting and provides follow up and timely communication to end user
  • Critical and creative thinking a must. Problem solving skills with the ability to look for root causes and implement workable solutions and be comfortable with ambiguity
  • Proven ability to perform high quality technical documentation and presentations; have ability to discuss technical issues to non-technical audience
  • Prior experience in a real-time transaction processing environment is desirable
  • Prior experience in disparate and Big Data environments, high volume transactions, multi-terabyte data stores and highly complex business logic is desirable
  • Extensive experience with Structured Query Language (SQL) and database design principles
  • Extensive experience with data modeling concepts, including the design, development and working with dimensional models to include Star and Snowflake schemas
  • Experience with Microsoft SQL Server Integration Services (SSIS), extensive experience in data models, OLAP, BI architecture, and building data marts
  • Experience working with warehousing methodologies/designs and processes (ETL, Data Modeling)
  • Developing report and dashboard solutions using Tableau, including extensive knowledge in various reporting objects like Facts, Attributes, Hierarchies, Transformations, filters, prompts, Calculated fields, Sets, Groups, Parameters etc.,
  • Experience in creating different visualizations using Bars, Lines and Pies, Maps, Scatter plots, Gantts, Bubbles, Histograms, Bullets, Heat maps and Highlight tables in Tableau
  • Experience with other BI tools such as SSRS, SSAS, Oracle, Cognos, OBIEE, MicroStrategy, SharePoint, SAP Business Objects, QlikView, TIBCO Spotfire, SAS, Excel Pivot, etc
  • A team player and self-starter with good communication skills and ability to work independently and as a part of the team
  • A desire to work in a fast-paced and challenging start-up work environment
  • Have excellent multitasking capability, efficiently plan and prioritize projects with strong technical and business management skills
6

Senior Manger Omnichannel Analytics Resume Examples & Samples

  • Highly numerate with a strong capability to analyse data and produce actionable insights
  • Extensive experience of analytics and reporting in a retail environment
  • Full understanding of how digital communications can be used to acquire, develop and retain customers
  • Knowledge of predictive analytics and how these can be effectively applied in a CRM environment
  • SQL database query skills
  • Optional: proficient in SAS and/or R
  • Optional: exposure to Big Data environments
  • Optional: experience of reporting tools such as Microstrategy and Tableau
  • Optional: Database Marketing skills
  • Leadership, problem-solving and decision-making abilities
  • Someone who considers quality, accuracy and attention to detail as critical
  • Minimum 6-8+ years marketing experience in Retail or Multi-channel player
  • Strategic, consensus-building and results-driven
  • Additional languages are an advantage
  • University degree or equivalent in business ideally with marketing and sales focus or equivalent professional experience
7

Senior Decision Analytics Architects Resume Examples & Samples

  • PL/SQL
  • Algorithm development & implementation
  • Hadoop, MapReduce, Pig, or Hive
  • Machine Learning, Data Mining, Statistical or other mathematical analysis
  • Logistic regression, Naïve Bayes, SVM, decision trees or neural networks
  • Perl, Hive, or Python
  • Java, C++ or C#
  • SAS, R, KNIME, or Matlab and,
  • Logistical regression, Naïve Bayes, SVM decision trees, or neural networks
8

Senior Analyst, FTP Measurement & Analytics Resume Examples & Samples

  • Produce TD Equipment Finance Net Interest Margin (NIM)
  • Timely responses to lenders' pricing requests
  • Perform deep dive analyses on the portfolio for the Business Advisory function
  • Support the implementation of an FTP process redesign to ensure that an effective and scalable solution is implemented for US TD Equipment Finance & Custom Loans
  • Review, analyze, and update key assumptions used in transfer pricing
  • Consult with and transfer knowledge to/from Business Advisory, Product Managers, and Finance to ensure that results are effectively understood by all parties
  • With the assistance of the Senior Manager, act as a subject matter expert for US TD Equipment Finance
  • Interest in capital markets, rates, and macroeconomic events
  • Principles of interest rate risk management including asset and liability management (e.g. duration, convexity, key rate immunization) an asset
  • Database structures, systems and processes
  • Capital Markets and valuing securities such as bonds, swaps & prepayment options
9

Senior Analyst, FTP Measurement & Analytics Resume Examples & Samples

  • Produce US Auto & Retail Net Interest Margin (NIM)
  • Support the implementation of an FTP process redesign to ensure that an effective and scalable solution is implemented for US Auto & Retail products
  • With the assistance of the Senior Manager, act as a subject matter expert for US Auto & Retail products, features & interest rate risks
  • Reengineering processes to reduce inefficiency and produce scalable processes
  • Using computer tools for data retrieval and analysis, in particular Excel; Access, Data Cubes and OLAP tools would also be an asset
  • Capital Markets and valuing securities such as bonds, swaps, prepayment options, caps and floors an asset
10

Senior Analyst, Campaign Analytics Resume Examples & Samples

  • Delivery and ongoing improvement of test & learn programs for leads and triggers across Personal and Business Banks and Wealth
  • Deliver enhancements to existing leads and campaigns to support ongoing Marketing
  • Collaboration across CRM Consumer and Marketing strategy teams and Product areas, to optimise and deliver to campaign requirements
  • Evaluation, implementation and realisation of benefits from external services and new and emerging data sources and technologies, translating into new and improved Marketing strategy
  • Provide insight and recommendations for ongoing improvement of cross-selling and 'pre-approval' programs
  • Work across Customer Relationship Marketing (Consumer) to demonstrate the monetary value added to the Enterprise through the development and implementation of campaigns, leads and triggers
  • Develop and maintain the inventory of campaigns, leads and triggers, understanding and communicating the current use and performance of leads and triggers across the Enterprise
  • Tertiary qualifications in a quantitative/science/computer science/IT background is preferred
  • Experience working with data to extract insights and create meaning
  • Experience using SAS to automate processes and doing ETL jobs
  • Knowledge and experience using programming languages
  • Knowledge and experience with SQL and SAS Base/Enterprise Guide
11

Senior Director, Global Analytics Resume Examples & Samples

  • Drive the further integration of analytics into the firm’s end-to-end offering
  • Develop and lead a centralized, innovative and future-looking analytics capability that includes cutting-edge research tools, actionable business intelligence operations, and an advanced analytics team
  • Engage directly with clients and provide counsel on analytics offering and solving specific client business problems through analytics
  • Serve as advisor across the firm, providing internal leadership of analytics and external communication and evangelism across all client activity
  • Proactively create and implement a roadmap to successfully integrate disparate market and consumer data to create a 360 degree view of competitive intelligence for clients
  • Bring industry leading and best of breed approaches, methodologies and technologies, working in partnership with the firm’s leadership and account management
  • Assess appropriate vendor relationships related to advanced analytical tools, technology, data acquisition, aggregation, curation, BI and metadata management
  • Identify new opportunities in the firm’s analytics offering, including building roadmap and vision for new analytics solutions, tools and services
  • 10+ years of professional experience in analytics, business intelligence, data solutions or research strategy roles
  • Media industry or marketing services experience is a plus
  • Thorough knowledge of and relationships with data providers and platforms in the data space
  • Track record of building successful relationships across organizations to promote the impact and value of analytics and insights
  • Proven experience leading and implementing aggressive, innovative and next generation analytics strategies
  • Experience and high comfort level working in a client services environment that requires delivering both “real time” and longer-cycle reporting and insights
  • Strong organizational, communications (both verbal & written), presentation, time management, and interpersonal skills. A proven track record of effective, persuasive communication at all levels, and the ability to instinctively adapt messaging to suit multiple clients and audiences – from the highly technical functions to non-technical and C-Suite. Ability to strategically influence a broad spectrum of constituencies through tailored, highly effective communication
  • Strong knowledge of marketing, media, social, web site analysis, consumer targeting tools, and vendors, including both quantitative tracking and research methodologies
  • A broad understanding of core and emerging analytics methods, approaches and statistical techniques and how they can be deployed to drive value
  • Demonstrated ability to assess reporting and modelled results from perspective of business / operations leads and to adapt output accordingly
  • MBA and/or advanced degree in data science, business intelligence or related field of study is preferred
12

Senior Analyst, Diversity Analytics Resume Examples & Samples

  • Perform statistical analysis on diversity program results
  • Partner with various stakeholders across Comcast, NBCUniversal, and Comcast Spectacor to gather diversity data and metrics, and aggregate and analyze data on a company-wide level
  • Support adhoc reporting in relation to the company's diversity program initiatives
  • Establishes, monitors, and reports on capital and operating expenditures
  • Provides Accounting department with monthly reporting information for financial statement preparation
13

Senior Analytics / Quant Oriented Developer Resume Examples & Samples

  • Work with overall analytics team and quant desk to write analytics code, services and components
  • Responsible for systems analysis, Design, Coding, Unit Testing and other SDLC activities
  • Requirement gathering and understanding, Analyze and convert functional requirements into concrete technical tasks and able to provide reasonable effort estimates
  • Directly impacts the business by ensuring the quality of work provided by self and others; works closely with other teams as partner
  • Work proactively, independently and with global teams to address project requirements, and articulate issues/challenges with enough lead time to address project delivery risks
  • Providing expertise in technical analysis and solving technical issues during project delivery
  • Code reviews, test case reviews and ensure code developed meets the requirements
  • Demonstrate ownership and initiative taking
  • Some support, troubleshooting, bug-fixing of existing and new applications is expected
  • One or more of following: KDb+/Q, R, Matlab, C++, Python
  • Java, .Net, NodeJS, JSON, Protobuf experience is plus
  • Experience in relational, and/or in-memory, non-SQL databases
  • Strong OOPS, Architectures, design patterns fundamentals
  • Agile/Scrum methodology experience is required
  • Service oriented architecture and standards like JSON, Protobuf
  • Strong communication skills, should be able to communicate effectively with business and other stake holders
  • Prior experience of working collaboratively with quant/trading desks is highly desirable
  • Experience in SCMs like GIT, TFS highly desired
14

Senior Analytics Team Leader Resume Examples & Samples

  • Provide analytical assistance to high-profile Across The Table Initiative
  • Use advanced knowledge of statistical methods to direct multi-analyst teams in the creation, validation, and application of statistical models
  • Manage 3-5 dealer engagements in Global Parts Pricing Strategy
  • Serve as the principal communicator with business partners about the status of their project and the solution developed
  • Act as a spokesperson for the team in meetings with multiple levels of management and with the customer
  • Develop good networks to enable them to obtain resources and cooperation needed, and remove roadblocks so that they can insure the success of their team
  • May be called upon to give input to or complete performance reviews for team members
  • Bears primary responsibility for meeting customer expectations for the projects he or she is leading
  • Exhibit strong planning and organization, excellent initiative, the ability to delegate tasks effectively, and well-honed interpersonal and leadership skills
  • Master’s degree (in statistics, economics, mathematics, or a similar field with quantitative coursework) with a proven track record of utilizing quantitative analytics (Bachelor’s degree requires 10-15 years of professional experience utilizing quantitative analytics)
  • Highly proficient statistics package like SAS, SPSS, or MiniTab
  • Must demonstrate strong leadership and initiative
  • Previous team leadership
  • Program/project management skills
  • Ph.D. (in statistics, economics, mathematics, or a similar field with quantitative coursework) and 3-5 years of progressively related experience
  • Knowledge of the Caterpillar Dealer Network
15

Senior Analyst, Campaign Analytics Resume Examples & Samples

  • Delivery and ongoing improvement of test & learn programs across Personal and Business Banks and Wealth
  • Deliver enhancements to existing campaigns to support ongoing Marketing
  • Collaboration across Marketing teams and Product areas, to optimise and deliver to campaign requirements
  • Develop and maintain the inventory of campaigns, understanding and communicating the current use and performance of campaigns across the Enterprise
  • Tertiary qualifications in a quantitative/statistical/IT background is preferred
  • Experience and knowledge of Credit Cards systems and data
16

Senior Director, Consumer Analytics Resume Examples & Samples

  • Creating consumer audience models to drive advertising sales
  • Developing predictive modeling solutions to target audiences interested in TURNER programming and product adoption
  • Mining extensive TDC database to craft consumer profiles that inform and shape brand marketing decisions
  • Generating algorithms that help personalize the consumer experience for TURNER's brand properties
  • “Productionalize” the TDC model development and scoring processes
  • Provide leadership in the evaluating and gauging the effectiveness of new data sources
  • Communicate analytical results to TDC leadership and to executives in TURNER's brands/businesses
  • Establish and cultivate Turner's consumer analytical organization
  • Assist with major decisions about resources, goals and standards
  • Establish a routine communication cadence to ensure there are no surprises for TDC leadership related to project status, risks or dependencies
  • Provide thought leadership on innovative ways to leverage consumer data for use by TURNER's brands and businesses
  • Serve as strategic advisor to internal and external clients in areas of advanced consumer analytics
17

Senior Specialist Digital Consumer Analytics Resume Examples & Samples

  • Collect, track, mine and analyze data to extract fact-based insights pertaining to eCommerce business. The goal is to provide insights to answer business questions therefore driving strategies and decision making process. The scope of work will cover desktop, tablet and mobile
  • Work with stakeholders to define goals and set KPI's, monitor and track performance towards goals, identify trends and opportunities
  • Support day to day digital analytics needs from stakeholders across the wider organization
  • Develop new metrics and studies to quantify the value of different aspects of visitor behavior and conversion bottlenecks
  • Minimum Bachelor’s degree in Business, Marketing or quantitative field
  • Minimum of 1 year experience in the field of ecommerce business intelligence environment, preferably in a multinational multisite context
  • Minimum of 1 year experience in digital analytics field, such as Adobe Omniture, Coremetrics, Webtrends, or Google Analytics. Experience with Adobe Omniture is strongly preferred
  • Strong Office skills are a must, with an emphasis on Excel. Knowledge of Oracle DB, SAS and/or SQL is a plus
  • Affinity with Reporting Tools, preferably some exposure to BI tools (ex: Microstrategy, Cognos, Business Objectsvisualizations tools (ex: Tableau)
  • Genuine interest in the sporting goods industry, digital experience, and digital analytics
  • The ability to tell the story behind the numbers is a must (verbal and written)
  • Experience with international or multi-level marketing business is a plus
18

Senior Analytics Platform Engineer Resume Examples & Samples

  • Multi-year experience of Enterprise Software Development and end-to-end delivery
  • Experienced in the design, build and deployment of large scale data warehouse solutions
  • Familiarity with Linux including scripting (Unix, bash)
  • Strong knowledge of Big Data Analytics, DW, MDM, and ETL tools and techniques
  • Solid understanding and strong advocate of agile software development and the demands of being on a Scrum team
  • Solid understanding of modern software development practices (automated testing, continuous integration, TDD, relative estimation, specification by example etc.)
  • Ability to coach and guide junior team members, instill quality practices and lead by example
  • A genuine passion for data-centric development projects
  • Curious, questioning mind
19

Senior Analytics Team Leader Resume Examples & Samples

  • Requires a Master’s Degree in Mechanical or Industrial engineering
  • 2 years experience applying predictive analytics to solve complex business problems, which includes the following: (i) logistics center or warehouse design and validation by using logistics traffic simulation, material replenishment analysis and resource utilization analysis; (ii) manufacturing value stream rapid prototyping and simulation for tradeoff and what-if studies; and (iii) optimization of production schedule, process improvements, and DES-based tool development
  • Must also have 2 years (concurrent) database programming experience with (i) Oracle, MySQL or equivalent; (ii) statistical and mathematical programming with Matlab, Python or R; and (iii) Discrete Event Simulation programming with PlantSim, FlexSim, Arena or equivalent
20

Analytics & Insights Senior Analyst Resume Examples & Samples

  • BA/BS degree in Math/Stats, Computer Science, Engineering, or other related quantitative field
  • Minimum two years of experience in data/analytics for the Analyst role, three years for the Sr. Analyst role, and four years for the Manager role
  • Professional or graduate school level experience with building statistical or data mining models to recognize patterns, define associations, score past performance/behavior, predict future performance/behavior, etc. using Python StatsModel, Scikit-Learn, R, or other open source modeling tools
  • Experience with QlikView/QlikSense, Tableau, or any other BI tools; familiarity with SQL, Amazon Web Services (S3, EC2, Redshift, etc.), database, table design, joins, data aggregation, data validation, etc
  • Excellent logical thinker who is able to identify, articulate, and resolve data related issues
  • Ability to initiate and drive projects to completion; be focused and result-driven
  • Advanced degree in Math/Stats, Computer Science, Engineering, or other quantitative field
  • Experience with data integration or ETL processing related projects
  • Experience with writing Python scripts
  • Experience with using Hadoop, Hive, Spark, Parquet, or other Big Data storing/processing/computing systems
  • Experience with digital media data, either web or mobile
21

Senior Executive Analytics Resume Examples & Samples

  • Defining and implementing measurement strategies that align with BMC and business objectives
  • Producing meaningful KPI dashboards and delivering monthly, cross-channel performance reports with actionable insight
  • The ideal candidate will not necessarily come from a pure web analytics background but an excellent, in-depth knowledge of digital marketing, along with experience in strategic and analytical management of BMC programs and initiatives is essential
22

Senior IS Analytics Resume Examples & Samples

  • Collaborate closely with internal customers, PMI stakeholders and vendors to deliver Business Intelligence project
  • Create functional specifications and make sure that the developers understand the requirements
  • Day-to-day business intelligence system support, ensure that system related issues and queries are timely resolved
  • Minimum SG 08 currently
  • Minimum holding a Bachelor Degree (S1)
  • Having minimum 5 years of experience in information technology, systems, or services in preferable
  • Good knowledge on SAP BW skill or Microsoft Business Intelligence or other Business intelligence tools
  • Fluent in English, both oral & written
23

Senior Director, Ebusiness Analytics Resume Examples & Samples

  • Define and execute a strategy for central analytics across the two websites. Proactively drive insights to meaningfully impact business strategy, execution and/or decision-making. Drive actionable insights and be a key influencer to shape/refine business direction for the web
  • Manage a team of skilled, data scientists and business analysts to equip the enterprise with actionable data, dashboards and insights
  • Define the story of web performance through metrics and ongoing dashboard insights, including revenue tracking and reporting. Manage large forums to orient the business on these metrics
  • Partner with senior leadership on strategic initiatives that require analysis and refined business acumen to help evolve the overall business model; educate internal departments (sales, product management, IT, service, etc.) to support company-wide understanding and accessibility to insights derived from reports and data
  • Project manage and/or support initiatives, including influencing and aligning stakeholders across the leadership teams and run specific one-off and recurring operational and business planning processes for the organization
  • Provide ongoing performance monitoring, dashboards and business intelligence to drive the eBusiness channels
  • Manage the analytics infrastructure and systems as needed
  • Maintain rigid standards in terms of accuracy and data quality; ensure innovation and leading practices in utilizing data sources and models
  • BA/BS degree or equivalent practical experience
  • 12+ years of experience with management of analytical teams, with 5+ years of strategy consulting experience or project management experience in a technology firm preferred
  • Experience in sales and/or marketing within media, advertising, e-commerce, or search, structuring and implementing operational initiatives with sales teams
  • Experience with spreadsheet software and SQL. Experience with programming languages (e.g. Python, Shell scripting, Java, PHP, JavaScript, C, etc.)
  • Operational experience in measuring and improving productivity, utilization, and scale initiatives etc
  • Distinctive problem solving and analytic skills with a high degree of analytical rigor
  • Excellent problem-solving and analytical skills, as well as written and oral communication skills
24

Senior Assoc, Analytics Resume Examples & Samples

  • Position has full cycle accountability for designing, gathering data, executing statistical and marketing analysis, as well as interpreting results, formulating recommendations and presenting to management
  • Establish and maintain a thorough understanding of the statistical and business impact of key variables on portfolio performance. Proactively identify trends or developments that may impact business plans or performance or which may represent opportunities
  • In addition to project responsibilities, position acts as subject matter expert by providing advice to senior management, clients and business partners on the effective use of analytical methodologies, particularly those related to probability, decision tree, regression, and business planning & forecasting
  • Masters degree in Economics, Applied Mathematics, Statistics, Operations Research, Business Administration, or other quantitative analysis area a must
  • 1+ years of applied mathematical & statistical analysis experience in business. Experience with consumer targeting and segmentation and behavior profiling, campaign performance evaluation, profitability tracking, and pricing simulation a plus
  • Solid experience with SAS and SQL in UNIX/PC environments and strong Excel skills are required
  • Excellent communication(oral and written), interpersonal, and organizational skills
25

Senior Assoc, Analytics Resume Examples & Samples

  • Manage the relationships with business partners and ensure that modeling or strategy projects are delivered in a timely manner
  • Use quantitative analytical skills and tools for data preparation, including sampling, data pulling, aggregation, and other data preparation treatments
  • Evaluate external data and be an expert in internal database and systems
  • Perform simulations and general ad-hoc analyses to provide insights for strategy design, evaluation and testing
  • Communicate and present project results to business partners and management
  • Identify, evaluate and recommend alternatives to business solutions in order to keep the company on the technology frontier
  • Create documentation for modeling or strategy projects
  • Work closely with both internal and external audit teams as required
  • Maintain a high level of expertise in statistical and analytical principles, tools and techniques
  • MS in in Statistics, Economics, Computer Science, Industrial Engineering, Applied Mathematics, and other quantitative fields with 1-2 years of applicable work experience OR PhD in these fields with some applicable research experience
  • Proven problem solving and decision making skills
26

Senior Assoc, Analytics Resume Examples & Samples

  • Position has the full responsibility supporting marketing campaign/initiative performance tracking and control report, acting as the subject matter expert by designing the report, maintaining updated documentation, producing regular tracking on time, interpreting trending, raising red flags if abnormality exists, and taking initiative for data investigation
  • Position has accountability for conducting in-depth ad hoc analysis, utilizing statistical methodology and analytical thinking; The position would conduct all the analytical tasks, including analytical design, data extraction, key findings & recommendation summarization, and results presentation, under the supervision of the manager; The position is also encouraged to interact proactively and independently with business partner for data investigation and business problem clarification
  • In addition to project responsibilities, position builds on solid data & business knowledge in the supporting area, becoming the subject matter expert, providing advice to management and business partners on the effective use of analytical data, analysis results and advanced analytical methodologies
27

Senior Analyst, Text Analytics Resume Examples & Samples

  • Lead text analytics implementations and program enhancements for English and Spanish, Italian, Dutch, Polish, or Chinese language projects
  • Delegate tasks and allot time for project team members
  • Identify and map business processes to text categorization rules in English and other languages
  • Create and implement analytics reports using the Medallia software
  • Assist in the development of best practices and tool kits
  • Provide constructive product feedback to Medallia Product Management
  • Native speaker of Chinese, German or Spanish
  • Native or Near-native fluency in English
  • Knowledge of the inner workings grammar and lexicons for English and Chinese, German or Spanish
  • Passion for linguistics and language
  • Passion for constant improvement
  • Proven track record of meeting and exceeding goals and deadlines
  • Minimum: Bachelor’s degree
  • Background in linguistics or a language-related field
28

Risk & Perf Analytics Senior Resume Examples & Samples

  • Maintaining documentation of processes, risks and controls
  • Preparing portfolio and financial forecasts
  • Preparing analysis and reporting on interest-rate risks and hedging
  • Reviewing work prepared by peers or junior-level staff
  • Minimum of 5 years of experience in fixed income, financial services, and/or financial analysis
  • Experience with derivatives
  • Secondary mortgage markets experience
29

Senior Analyst Propricing Analytics Resume Examples & Samples

  • 40%- Analytics and Reporting: Leverage merchandising and financial expertise to develop analytical frameworks and report on metrics of assigned projects to gauge business value (ROI)
  • 40%- Business Process Design and Improvement: Supports continuous process improvement by identifying potential opportunities to enhance The Home Depot’s business processes as they relate to Volume Pricing Program and Quote Center
  • 20%- Project Management: Partners with senior/department management and cross-functional teams to define business needs/requirements, project plans, risk assessments, communication, implementation, training and change management
  • 5+ yrs business experience and/or management consulting preferred
  • Proficient in business process evaluation and procedure development
  • Demonstrates a thorough knowledge of all tool, processes, methodologies and standards for requirements gathering, documentation and analysis
  • Previous experience supervising professionals
  • Demonstrated experience in process improvement and/or SDLC and project management methodology
30

Text Analytics, Senior Analyst Resume Examples & Samples

  • Lead text analytics implementations and program enhancements for English and Spanish, Italian, Dutch, Polish or German or language projects
  • Routinely engage with client core teams and business stakeholders
  • Develop text analytics expertise and act as primary knowledge-base for project team members
  • Native speaker of Spanish, Italian, Dutch, Polish or German
  • Knowledge of the inner workings grammar and lexicons for English, Spanish, Italian, Dutch, Polish or German
  • Ability to understand and effectively explain software functionalities to technical and non-technical audiences
  • Excellent problem solving, decision-making, and analytical skills
  • Ability to handle multiple projects with competing deadlines in a fast-paced environment
  • 1-2 years experience in a client-facing role
  • Minimum: University degree
  • 2+ years working on medium to large data analytics projects
  • Strong working knowledge of text mining, information retrieval, machine learning, or natural language processing
31

Senior Executive, POS Analytics Resume Examples & Samples

  • Feasibility testing and project design together with POS Analytics commercial team
  • Data extraction, coding and prepping
  • Data grouping and modelling according to project design and CPP
  • Results preparation and quality control
  • Report generation
  • Ongoing Capacity planning, project monitoring together with the Analytical Operations Lead
  • Project archiving and norms building, ultimately contributing to Thought Leadership projects
  • Occasional international travel required for training
32

Senior Analyst, Online Analytics Resume Examples & Samples

  • Support the Online business by gathering data, developing key reports, applying analysis methods, and synthesizing conclusions into actions
  • Develop performance reporting that isolates trends and outliers related to Marketing and Member Rewards program vulnerability, abuse, & profitability
  • Leverage reporting views that measure Online trends and activity like sales, gross margin, chargebacks, refunds, and returns in order to isolate problematic activity
  • Monitor data and trends relating to Online sales activity that result in cancellations, stuck/late orders, vendor compliance concerns, bad debt, and issues where our customers contact our Member Services (Call Center) team
  • Manage the partnership and roadmap for our Online Fraud Detection & Performance Program
  • Monitor Online social forums and platforms that expose Online vulnerabilities and work with ancillary teams to address
  • Identify root-causes, develop and implement business processes to ensure sustained improvement
  • Participate in developing and maintaining processes, best practices, and templates relating to business operations and analysis
  • Assist Online Operations team in responding to diverse ad hoc tasks and executing business initiatives
33

Workforce Analytics, Senior Resume Examples & Samples

  • Assist in the design and development of dashboards, reports, presentations, and visual aids for on-demand access using Visier
  • Provide customer support, training and guidance to HR colleagues, to drive usage of self-service reporting capabilities across the organization, and to capture new requirements and ideas for useful HR reports to develop
  • Assist in identifying and interpreting trends and patterns in data sets
  • Ensure the data is accurate, consistent, and interpretable
  • Bachelor’s degree Human Resources, CIS, MIS, Business, related field or equivalent work experience
  • 5-8 years of progressive experience directly related to developing end user reporting/analytics or equivalent combination of education and experience
  • Advanced proficiency in SQL
  • Excellent inter-personal, communication, analytical, organizational, management, and negotiation skills
  • Problem structuring and strategic problem solving skills
34

Senior Analytics Solutions Engineer Resume Examples & Samples

  • Review, interpret and analyze business requirements for analytics solutions
  • Develop business requirements specifications for IT interpretation for data feed solutions
  • Design efficient data models for high-performance analytics solutions
  • Design effective and aesthetically sound user interfaces for analytics solutions
  • Minimum of 6 years relevant experience
  • Strong experience in development and support of Tibco Spotfire analytics tools
  • Experience in one or more of the following supply chain areas: Strategic Procurement, Inventory, Logistics
  • Advanced logical and analytical thinking, with a strong ability to process numbers programmatically
  • Strong understanding of efficient data modelling and table design for analytics, and working with databases
  • Proficiency in MS tools: Excel (must), Powerpoint, and OneNote (desirable)
  • Strong verbal and written communication skills is essential
  • Able to be effective working independently and in a team across global environments
35

Senior Analyst, Integrated Analytics Resume Examples & Samples

  • Identification and development of key metrics to measure performance, monitoring product and market performance
  • Analyzing data patterns and trends
  • Creating weekly performance dashboards
  • Focus on key business questions and frame business problems into analytic plans and completing such plans to identify business opportunities and challenges
  • Work with the Sr. Manager to develop situation assessments for strategic /tactical meetings such as Business Planning, Competitive Simulations, sales meetings
  • Provide additional ad-hoc analysis as required partnering with Commercial Excellence and sales and marketing teams
  • Apply basic consulting skills, including consultative listening, problem definition, hypothesis generation, data analysis, translation to value, and oral and written presentation for impact
  • Partner to integrate information into analysis and assessments of organizational tactics & actions. Consistently focus on key business issues for the franchise and well as the portfolio
  • Stay abreast of emerging healthcare & pharmaceutical industry trends and assess their potential impact on our franchise business strategies
  • Act with speed, agility and accountability
  • Cultivate meaningful internal and external partnerships, adding value and insights for the organization; being insight driven to uncover important unmet needs
  • Take personal accountability for making Credo-based decisions and fostering a Credo-based culture
  • A minimum of a Bachelor’s degree is required Advanced degree desirable
  • A minimum of 3 years of total business experience is required
  • A minimum of 2 years in an analytics role is required
  • Knowledge of pharmaceutical secondary data sources is required (i.e. IMS PlanTrak, IMS Xponent, IMS APLD, Symphony Health, Health Leaders Interstudy, etc.)
  • Must have the ability to analyze data and interpret trends by integrating information from multiple sources utilizing a variety of analytical tools and technology to address key business questions and develop new insights
  • Must have the ability to be proactive and provide unsolicited, self-generated, data analytics
  • Strong interpersonal and communications skills are required
  • Must have the ability to handle multiple projects simultaneously and meet deadlines
  • Diversity of experience is preferred, with demonstrated learning agility in order to be able to move across different types of markets such as primary care/retail or specialty markets
  • Strong Microsoft Excel and PowerPoint skills are required
  • Experience with SAS is preferred
  • Strong business acumen, strategic thinking is required
36

Senior IT Analytics Cnslt Resume Examples & Samples

  • Maintenance and support of current internal reporting/forecasting tools developed in MS Access / SQL
  • Gathering business requirements to fulfill customer requests
  • Provide technical support for non-programming staff
37

Senior Analytics Development Engineer Resume Examples & Samples

  • Solid fundamentals in Software Engineering (Data Structures, Algorithms)
  • Proactively recommend improvements/enhancements to processes, development environments, and products
  • MS degree in computer science, computer engineering or similar technical discipline
  • 6-8 years+ working experience as a Software Engineer using a broad set of programming languages. Java is required
  • Experience with large-scale, enterprise Java applications
  • Experience in solutions that leverage distributed processing of large data sets (e.g. MapReduce, Hadoop)
  • Motivated self-starter, with a high capacity for rapid learning and meticulous attention to detail
  • Experience in statistics / machine learning
  • Experience with graph algorithms
  • Ph.D. degree
38

Senior Analyst, Online Analytics Resume Examples & Samples

  • Conducts analysis to inform customer/member behavior, insights and strategy and evolve the business model
  • Communicates insights through presentations and spreadsheets in a clear and concise manner to key stakeholders
  • Writes data and analysis requirements, develops reporting and insights, defines support requirements and processes
  • Owns end-to-end responsibility for success while working collaboratively with business owners and support within and outside the business unit
  • Defines new data initiatives and builds analytics framework to guide decision-making
  • Ensures clear communication and coordination across the Product, Marketing, Merchant, Operations, Engineering, and Project Management and Services teams
39

Senior Analytics Partner, CSS Resume Examples & Samples

  • Master’s Degree in Engineering, Economics, Mathematics or related analytical discipline
  • Typically 20+ years of experience leading the solution design and implementation of advanced technology enabled consulting and customer experience projects for clients
  • Deep experience in automotive OEM and mobile application analytics
  • Track record with a blue chip consulting firm, outsourcing firm or system integrator
  • Track record of designing and bringing to market analytics propositions and services
  • Excellent understanding of analytics as a client solution and driving ROI from the solution for clients
  • Deep understanding of the various cloud based technology platforms available in the market to support analytics solutions. An appreciation of which work well in each sector and why
  • Extensive knowledge about BI/ visualization of results in tools such as Spotfire, Tableau, Qlikview and how these can be deployed to clients
  • Experience in predictive analytics and other statistical analytics driven approaches and solutions – experience of SAS, SPSS, R, Knime or similar and the ability to guide teams and clients on when to use which products
  • Experience in unstructured data analytics for speech and text and the ability to consult on appropriate toolsets and the business value of unstructured data analytics
  • Experience in standing up cloud based analytic solutions in an agile manner
  • Experience managing large client accounts and/or being a primary point of contact for senior clients
  • Experience in global data and analytics
  • Excellent communication, writing and presentation skills
40

Senior Analyst, FTP Measurement & Analytics Resume Examples & Samples

  • Produce TD TD Auto Finance and Consumer Net Interest Margin (NIM)
  • Support the implementation of an FTP process redesign to ensure that an effective and scalable solution is implemented
  • With the assistance of the Senior Manager, act as a subject matter expert for the portfolio
41

Senior Product Owner, Analytics Resume Examples & Samples

  • 4+ years related work experiences in a business analyst, product owner or other product management role
  • Ability to interact effectively with clients by soliciting feedback, gathering insights and managing expectations
  • Analytic skills; including ability to interpret customer needs into requirements
  • Demonstrated leadership skills; ability to influence decision makers
  • Self-starter who understands how to effectively deal with ambiguity and with changing priorities
  • Flexibility to partner with and negotiate with various personalities both inside and outside the organization
  • High-level of initiative and troubleshooting skills
  • Perform functional analysis on business systems for software solution development
  • Facilitating comparative analysis of disparate information systems
  • Lean/Agile Scrum development methodologies and continuous delivery models
  • Scrum Product Owner Certification
  • Product experience with Jira and Confluence
  • Higher Education domain
42

Senior Analytics Fellow Resume Examples & Samples

  • Advanced degree preferred (MS, MA) in a quantitative discipline (typically statistics, mathematics, econometrics, economics, operations research)
  • 5+ years of professional experience working with large data sets and using analytics to drive business results ideally in financial services related industry (e.g., banking and securities, asset management, insurance)
  • Experience working in/with enterprise class data environments to access, manipulate and analyze large data sets
  • Significant experience using statistical software packages such as SAS, STATA, SPSS, R and data query languages such as SQL
  • Sound knowledge and application of techniques such as cluster analysis, linear regression, logistic regression, CHAID, market basket analysis, etc
  • Ability to communicate complex ideas effectively – both verbally and in writing – in English and the local office language(s)
43

Senior Director of Analytics Resume Examples & Samples

  • Developing a mix of qualitative and quantitative analysis techniques to identify and prioritize opportunities to create exceptional customer experiences and inspire loyalty throughout the customer ownership journey
  • Making recommendations based on learnings from customer insights to further engage customers
  • Presents analysis based recommendations to domain experts and other Aetna senior management or to external business clients
  • Communicating trends and insights using both verbal and graphical representation
  • 5+ years of executive client interfacing experience (internal or external) and leadership experience overseeing an analytics/data science team preferably from a customer experience company, demonstrating excellent written and verbal communication skills and reliable executive presence
  • Strong analytical background in statistics and survival analysis, multivariate analysis, including segmentation, cluster and principal component analysis, time series analysis, predictive modeling, including linear and generalized linear models, decision trees, neural networks and non-linear models
  • Experience with data mining tools, neural network techniques, machine learning procedures
  • Programming knowledge/experience with SAS, SQL, Python R, Hadoop
  • Healthcare sector experience is preferred
44

Senior Director of Analytics Resume Examples & Samples

  • Presentation of results and recommendations; particularly the ability to craft a coherent vision from complex output and data
  • An ability to convey complex results in an easy to understand, thematic manner
  • Development of case study materials from prior analytic projects, in support of sales efforts demonstrating capabilities
  • Communicate and engage with key internal business partners and Epsilon clients to collaboratively solve business problems
  • Participate in enhancements of analytic offerings and creation of new internal practice standards
  • Bring visibility to Epsilon Analtyics by being active in thought leadership via white papers, industry conferences and/or article publications
  • A minimum of 10 years professional hands-on experience with statistical modeling, data mining, and advanced segmentation using large marketing databases
  • A minimum of 5 years proven managerial or supervisory experience
  • Ability to think strategically and ‘big picture’, to formulate appropriate analytic solutions to solve client business needs
  • Ability to display data visually, creating powerful presentations which effectively demonstrate the value of analytic deliverables to senior level client staff
  • Highly motivated, collaborative, and innovative
  • Financial Services marketing experience/knowledge
  • Travel 10%-20%
45

Senior Analytics Team Leader Resume Examples & Samples

  • 3 years work experience as a project manager and business analyst designing and developing business intelligence reporting solutions
  • 1 year (concurrent) experience designing and developing dashboards using Tableau and managing projects using Agile software development methodologies
  • 2 years (concurrent) experience designing database tables and querying relational databases
46

Senior Analytics Lean Resume Examples & Samples

  • Must have 7 years related experience along with a minimum of 3 years leading projects; prefer experience with delivering analytics/data science projects
  • Working experience/certifications in Agile (Scrum) and/or Lean (Kanban) delivery frameworks required
  • Strong oral and written communication skills are required; must be able to communicate effectively at all levels in the organization and with personnel located at LCO and in field locations
  • Strong problem-solving skills required
  • Must be proficient with Microsoft Office and Visio
  • Must be able to work with little oversight
  • Exposure to the Oil and Gas (exploration and production) industry preferred
47

Senior Analytics Solutions Developer Resume Examples & Samples

  • Bachelor's degree in Computer Science \ Decision Science, or equivalent experience in Technology or Analytics
  • 8+ years of experience as a Data Engineer in Data Processing\ Statistical Computing platforms such as SAS, R, Python or in object oriented languages such as Java, C++, VB, Scala etc
  • 5+ years of Advanced Analytics experience at scale – ability to work with very large volumes of data, disparate relational databases and schemas and design applications that efficiently scale to process hundreds of millions of observations
  • A combination of business focus, strong analytical \problem solving skills and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the project
  • Strong communication, relationship-building and customer facing skills; ability to articulate complex concepts in a simplified way
  • Self-driven with an ability to quickly learn new technologies \ concepts independently. Progressive work experience in a technology \ business analytics role
  • Experiences as a full-stack solution Developer ; ability to see & present “the big picture” and offer innovative solutions
  • Experience leveraging the Hadoop ecosystem (Avro, Hive, Pig, Spark, Sqoop, HBase) for analytical workloads
  • Familiarity with multiple analytical \ data processing platforms (Traditional BI, Hadoop, Client-Server Architectures), patterns and frameworks (Portals/Mobile, SOA, BPM, MDM, SAAS, etc.)
  • Demonstrated experience developing executable architectural blueprints and roadmaps in a variety of roles through a software development process or Systems Development Life Cycle (SDLC)
  • Expertise in SQL, Relational Database, Data Processing
  • Familiarity with Unix \ Linux. Data Visualization tools and techniques
48

Senior Director of Analytics Resume Examples & Samples

  • Identify and leverage emerging AI and machine learning technologies that will enhance our products
  • Provide hands-on technical guidance to data science problems the team is working on
  • Contribute to the entire product development process, including participation in design and prototype activities
  • Help shape the direction for data science across the company as well as providing direction for research in to data .science tools and techniques
  • Non-academic work experience in machine learning and data mining
  • Experience in leading a team of data scientists
  • Experience working with cross-functional partners, especially in product development and engineering
  • Track record of managing multiple projects and delivering machine learning solutions to clients
  • Strong theoretical and practical knowledge of machine learning and statistical algorithms
  • Knowledge of python and scikit-learn
  • Strong programming experience in Java and Python. Knowledge of C and C++ are a plus
  • Hands-on experience with deep learning tools like Theano, TensorFlow, Caffe
  • Excellent presentation skills and interaction with internal/external customers
  • Experience translating business needs into technical solutions
  • The employees are smart, friendly and welcoming
  • Free underground parking – never get wet or shovel snow
  • Health Insurance starts your first day on the job
  • Three weeks paid vacation & three weeks paid sick leave
  • 10 paid holidays (including a floating holiday and a community service day)
  • 401(k) Plan with up to 5% employer match
  • Business Casual office
  • Kitchen on every floor with cable TV – also, subsidized snacks & cold drinks
49

Senior Analytics Resume Examples & Samples

  • Familiarity with CRM tools such as Salesforce, Pipeliner, or HubSpot. Salesforce experience is highly preferred
  • Expertise with MS Office (full suite), including Share Point
  • Familiarity with HDFS, BigQuery, Spark, Hive, and/or Storm
  • Ability to simplify and explain complex, technical topics to a non-technical, time-constrained audience
  • Bias for action and awareness of sales-based needs in a highly competitive environment
  • Eagerness to learn and expand capabilities of the Sales Performance & Analytics team
50

Senior Director, Consumer Analytics Resume Examples & Samples

  • Provide high quality consumer and data analytics to all areas of the business, interface with marketing and engineering staff, and manage the technical instrumentation of the analytics platform
  • Drive marketing communication and user-specific targeting based on in-depth analysis of the individual gamer and holistic view of the Activision gaming community
  • Create dashboards and decks that illustrate key findings, along with providing detailed monthly and quarterly results overview to management
  • Work across multiple data sources (web, mobile, in-game, CS) to develop a complete picture of gamer behavior
51

Senior Analytics Manager, WW Quality Resume Examples & Samples

  • Bachelor Degree in Statistics, Computer Science, Industrial Engineering, Operations Research or a related field or quantitative MBA
  • 3+ years experience in applying statistics, business analytics, and/or analytics to answer business questions and provide actionable recommendations
  • Experience in data mining, SQL, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  • Knowledge of R, Python or other statistical modeling languages/ toolboxes
  • Familiarity with customer service/ contact center operations
  • Experience with text/data-mining software packages