Product Analytics Resume Samples

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LL
L Lueilwitz
Llewellyn
Lueilwitz
16104 Rebeka Island
Dallas
TX
+1 (555) 443 8076
16104 Rebeka Island
Dallas
TX
Phone
p +1 (555) 443 8076
Experience Experience
Boston, MA
Senior Manager, Product Analytics
Boston, MA
Kshlerin and Sons
Boston, MA
Senior Manager, Product Analytics
  • Working with team members to establish methodology; manages and prioritizes A/B and multivariate testing projects
  • Train analysts in analytics best practices, as well as ensure continuous improvement of analytics methodologies
  • Interact with and support a variety of teams and individuals within the organization to make data-driven business decisions aimed at growth/business optimization
  • Leverage data and product analytics to develop, enhance, and support pricing strategies
  • Manage the implementation, maintenance, accuracy and improvement of web analytics data capture, systems and tools
  • Supervise/manage/direct the selection, training, development, appraisal and work assignments of personnel across multiple teams
  • Using all advanced statistical information and models to model and predict the outcome of proposed projects and provide data-driven recommendations to ensure successful execution
Dallas, TX
Director, Product Analytics
Dallas, TX
Crist-MacGyver
Dallas, TX
Director, Product Analytics
  • Provide expertise, direction and oversight to product business intelligence and data engineering efforts; maintain and drive execution of product’s business intelligence roadmap
  • Take a hands-on role in evolving and mining Showtimes’s structured and unstructured data systems, with an emphasis on richer insights from data and easier access to data
  • Strong business sense, strategic thinking and team player
  • Get hands-on: Formulate hypotheses and build ad-hoc analytical models using core statistical concepts, and train other team members and stakeholders in similar analysis
  • Passion for number crunching, logical problem solving and intellectual challenges
  • Directly manage team of 3-4 professionals, ensuring we have training and career development plans that will set them and their own teams up for success today and going forward
  • Look for ways to improve communication and knowledge sharing with peer teams throughout the company
present
Boston, MA
Director of Product Analytics
Boston, MA
Corwin Group
present
Boston, MA
Director of Product Analytics
present
  • Lead a team of analysts to embed a data-driven culture within the company
  • Carry out market research to identify opportunities to develop new products or make changes to existing products
  • Design A/B tests and experimentation for product features, analyse how the key metrics respond and evaluate whether to increase exposure or stop the experiment
  • Define a framework for experimentation, design and run experiments with feature teams, making sure it is stratified and designed fairly
  • Co-create with Product Managers and analyze the product metrics and key funnels
  • Provide the product and engineering teams with benchmark for new product performance.Initiate and maintain strong relationships with relevant industry partners, suppliers and contractors
  • Provides technical leadership and influences data strategy across multiple projects
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Florida Atlantic University
Bachelor’s Degree in Computer Science
Skills Skills
  • Analytical Thinking (In-depth)
  • Change Leadership (In-depth)
  • Change Management (In-depth)
  • Influence (In-depth)
  • Organizational Understanding and Communication (In-depth)
  • Product Management (In-depth)
  • Product Analytic (In-depth)
  • Product Forecasting (In-depth)
  • Product reporting (In-depth)
  • Project Management (Working)
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15 Product Analytics resume templates

1

Assistant Manager, Product Analytics Resume Examples & Samples

  • Manages and leads the day to day development and delivery of business, product and portfolio management reporting requirements. Responsible for business case analytics and marketing campaign analysis in collaboration with key partners. Running of weekly and monthly production reports including (but not limited to): renewal business retention, commitment pipeline reporting and monthly reports such as the Monthly Business Review, and the Quarterly Business Review
  • Act as a Centre of Expertise for information management requirements. In partnership with Business Intelligence/Client Insights or other groups, lead and deliver timely and relevant ad hoc reporting requests for key business initiatives as required
  • Participate in key projects as required to support Product Managers with Business Case development and Project Approval Requests (PARs)
  • Work with Sales Support, Business Intelligence and Finance to deliver improved data integrity, leverage common data that is reliable, timely and cost effective
  • Support the Home Equity Financing Senior Management Team and Product Managers. Assist the Manager Product and Portfolio and key partners in the development of business plans and scorecard measures and goals
  • Supports key partners day to day needs for information and insight
  • University Degree or college diploma with proven experience in analytics
  • Strong demonstrated experience working with MS Excel (creating Pivot Tables, Macros, Professional quality charts/graphs)
  • Strong working knowledge of MS Access
  • Strong Knowledge of sales and service processes and systems including policy / product features that impact portfolio performance
  • Analytical mindset with strong attention to detail skills
  • Ability to communicate and present detailed/complex analysis in clear, concise and meaningful Executive Summaries
  • High achievement orientation
  • Excellent written and verbal communications
  • Strong organizational awareness
  • Strong impact and influence skills to get things done through cross functional teams
  • Customer service mindset
2

Deposit Product Analytics Resume Examples & Samples

  • Demonstrated high level of proficiency with Microsoft Office Suite (Excel, Powerpoint, Word)
  • Very strong written, verbal and analytical skills required
  • Proficiency in SAS programming is essential
3

Product Analytics & Insights Intern Resume Examples & Samples

  • Work with business owners, stakeholders and department analysts to understand and articulate data or analytics request and to leverage company data sources to provide a response to analytics questions
  • Create business cases to support the funding of new products
  • Documenting analytics requests, methodologies, etc
  • Providing basic analytics deliverables (reports and insights) with the oversight from team of analysts
  • Providing analytics project support to analytics team and management as needed
  • Knowledge of or desire learn ways to access external and internal data sources used to perform analysis, including leveraging various data analysis and reporting systems
  • Knowledge of or desire to learn how to write queries (SQL,) to develop analyses in response to questions from internal customers
  • Exceptional communication skills (verbal and written) with the ability to deliver business documents of varying lengths and types. Written deliverables may range from memos and email communiques to presentations which deliver analytics insights, process flows, methodologies, and requirements, etc
  • Pursuing a major in MIS, Quantitative Analysis, Decision Sciences, Engineering, or Business Management
  • Completion of minimum of 2 years MIS, Mathematics, or Project Management coursework and at least 2 Business Management courses
  • Ability to participate in or facilitate effective and efficient meetings and stakeholder interviews
  • Exhibits exceptional organizational, analytical and problem solving skills
  • Knowledge of business support applications such as MS Office (Word, Power Point, Excel, Visio) required
  • Advanced level Excel skills preferred
4

Product Analytics Resume Examples & Samples

  • Project Management - Level 1 PM credentials (BMO) or equivalent applied knowledge preferred
  • Strong Excel, Word, Access
  • Minimum 2 years experience in life insurance or banking product management
  • Change Leadership (In-depth)
  • Change Management (In-depth)
  • Influence (In-depth)
  • Organizational Understanding and Communication (In-depth)
  • Product Management (In-depth)
  • Product Analytic (In-depth)
  • Product Forecasting (In-depth)
  • Product reporting (In-depth)
  • Process Coordination and Management (Working)
  • Business Acumen (working)
5

Product Analytics Managers Resume Examples & Samples

  • 5 years of experience with business intelligence, including understanding business requirements for reporting and analytics, translating into technical specifications, and working with development teams on development and delivery
  • Payments industry and electronic payments processing network
  • Developing business intelligence solutions with at least one of the business intelligence/reporting and data visualization tools such as MicroStrategy, Tableau, Cognos
  • Data management, applications design/development and data governance including data quality, validation, testing and best practices
  • Enterprise data management and data warehousing
  • Document business and functional requirements including full software development life cycle, and DW/BI/ETL tools
  • Designing operational metrics to support strategic plans, dashboard design and benchmarking/standard industry practices
  • SAS programming (SAS Enterprise Guide and Enterprise Miner) with 5 years of SQL experience in a SAS environment to join tables to extract data, business analysis and systems design
  • Applying statistical modeling & operational research techniques and develop optimal solutions to solve complex data problems
  • Accessing data stored in Hadoop using Hive or Datameer
  • 5 years of experience with Microsoft Office Suite (Visio, PowerPoint, Outlook, Excel, Word), Microsoft Project and SharePoint
  • Defining strategic needs of the business, analyzing business strategies, as well as translating into potential effects on issuer portfolio performance
  • Executing multiple concurrent projects with overlapping deliverable dates with complete follow-through; and
  • Developing project plans, including managing scope, cost estimation, sizing, schedule development, quality control, communication management and planning
6

Manager Product Analytics Resume Examples & Samples

  • Lead in the development, enhancement and streamlining of product profitability models and metrics, financial concepts and performance management reports for product within Business Financial Services
  • Proactive involvement with key stakeholders to find opportunities to achieve RBC’s Client First Initiative goals by simplifying processes to enable faster implementation and decision-making,
  • Provide end-user training and support in the interpretation and analysis of product profitability models and metrics
  • Lead in developing unit costs for the billing systems (BCRMS) and assist in ensuring up-to-date unit cost information is correctly captured/represented in other RBC Financial Group profitability models (RCM, CCVM, PCAP). This position assumes the role of Gatekeeper and ensures end-user requirements are being fully met
  • Provide ad-hoc product, segment and client profitability studies as requested by key stakeholders
  • MBA/accounting designation (CMA, CGA, CA, CFA)
  • Expert level Excel skills for building and maintaining financial models
  • Excellent communication skills (listening, understanding and responding)
  • Ability to meet tight deadlines and work with changing priorities in a dynamic team environment
  • Ability to make decisions and deal effectively with people
  • Ability to identify problems and recommend solutions
7

Senior Manager Product Analytics Resume Examples & Samples

  • Mine large data sets for insights that inspire product experimentation
  • Author data pipelines to prep large data sets for analysis
  • Define requirements for our in-house analytics and A/B testing platforms
  • Perform cohort, segmentation, and lifetime value analyses to cultivate a deep understanding of our audience and growth opportunities
  • Define baseline and target growth metrics; create dashboards to monitor progress ongoing
  • Identify and interpret trends from data that provide direction on areas of focus or may inform strategic direction or areas to concentrate on
  • Form data-driven presentations to influence executives and product teams to kick-start new initiatives aligned to growth metrics and priorities
  • Bachelor's Degree in Computer Science, Engineering, Statistics, Business or a related discipline highly preferred
  • Strong technical competence to perform advanced analytics with large data sets (Hadoop, Spark, Python, Scala, R, Redshift, Hive, SQL, dimensional modeling)
  • Possess statistical competence; demonstrated experience with hands-on statistical modeling (such as regression modeling, a/b testing, significance testing, etc.), knowledge about machine learning (such as predictive modeling, decision trees, classification models, clustering techniques)
  • Ability to condense analysis into actionable insights to inform business and product decisions
  • Extensive experience with a variety of multivariate testing platforms
  • Previous experience as Data Scientist or Product Analyst dealing with very large data sets
  • Experience crafting presentations that translate complex data into straight forward models
  • Previous experience working with digital media data sets (web logs, ad server logs, email logs, user profile data)
8

Product Analytics Managers Resume Examples & Samples

  • Knowledge of big data processing techniques
  • SAS, SQL, and Unix
  • Proficiency with Excel, VBA, MS PowerPoint and Office; and
  • Data visualization software, such as MicroStrategy or Tableau
9

Product Analytics Managers Resume Examples & Samples

  • 3 years of experience with advanced data mining and statistical modeling
  • Predictive modeling techniques, including binomial, multinomial regression, and ANOVA
  • Classification techniques, including Clustering, Principal Component Analysis, and factor analysis, and Decision Tree techniques
  • 3 years of SAS experience
  • Proficiency and continuous skills development in leading edge analytic tools, such as Tableau, Revolution R or Altryx
  • Hands on experience with processing extremely large data sets
  • Project management skills, with experience in managing and delivering large, complex analytic projects
  • Experience with Microsoft Office, including Excel, Word and PowerPoint; and
10

Product Analytics Managers Resume Examples & Samples

  • 6 years demonstrated knowledge of advanced data mining
  • 6 years of experience in predictive modeling techniques, including binomial, multinomial regression, and ANOVA
  • 6 years of experience in decision tree techniques, including CART and CHAID
  • 6 years of SAS experience
  • Proficiency and continuous skills development in leading edge analytic tools (in addition to SAS), specifically Tableau and Revolution R
  • 3 years of hands on experience processing extremely large data sets
  • 3 years of demonstrated ability to solve business problems through data driven quantitative methodologies
  • 3 years of project management skills, with experience in managing and delivering large, complex analytic projects
  • Experimental design; and
11

Cib-product Analytics Manager Resume Examples & Samples

  • Strong prioritization skills and an ability to deliver under pressure
  • Accounting experience is preferable
  • Must be self starter, exhibit leadership skills, and initiative
  • Execution-oriented self-starter who likes to take initiative, and is able to get things done
  • In depth understanding of Fund Accounting, in offshore or onshore location, either from experience in senior Product or Operations roles
  • Relevant industry qualifications an advantage
  • Travel within UK/Europe required
  • Contribute to the Transformation strategy with analysis, input and insight
  • Ensure the consistency and best practice of both the product model and delivery, in terms of documentation, end to end excellence, and process
12

Cib-gfs-product Analytics Manager Resume Examples & Samples

  • 5+ years of securities industry experience required, in Alternatives, and Fund Services experience preferred
  • Project management and / or operational experience required
  • Experience using Geneva accounting application is highly beneficial
  • Proven experience with enhancing existing processes / procedures
  • Strong attention to detail
  • Proficient in the use of Microsoft Excel, Word, PPT and Access
  • Fluent English. Additional languages are an advantage
  • Strong communication and presentation skills, with the ability to interact at all levels (both internal and client)
  • Strong financial, analytical and strategic skill set
  • Strong MS Office skills (Excel, Powerpoint, Word)
  • Strong organizational and planning skills, with the ability to manage many tasks at once in a structured manner
  • Substantial experience working in the hedge fund, fund of hedge fund, hedge fund administration and/or outsourcing space
  • Review the operating model supporting the HFS product to determine how best to support new initiatives/business, working closely with Operations and Technology assess cost effective and STP service offering
13

Senior Manager Product Analytics Resume Examples & Samples

  • Lead the delivery of product level insights to support various product strategies for all the portfolios and products within CAMS
  • Develop and enhance capability for delivery of sound customer analytics and decision support
  • Provide thought leadership and innovation, deliver pro-active analysis and identify new opportunities to drive profitable growth
  • Create strategies to attract, develop, motivate and retain a highly qualified team to achieve business objectives
  • Oversee and manage direct reports with primary responsibility for their performance, appointment and compensation
  • Champion the delivery of self –service capabilities across the credit card businesses on behalf of Decision Sciences
  • Establish and maintain effective relationships with internal and external partners
14

Director, Product Analytics Resume Examples & Samples

  • Provide expertise, direction and oversight to product business intelligence and data engineering efforts; maintain and drive execution of product’s business intelligence roadmap
  • Monitor and review business intelligence technology and trends, maintain awareness of new functionality of existing tools, and champion new analytics technologies and systems to support changing requirements/needs
  • Take a hands-on role in evolving and mining Showtimes’s structured and unstructured data systems, with an emphasis on richer insights from data and easier access to data
  • Collaborate with SNI research and marketing teams on current and future reporting needs
  • Understand product and business objectives and drivers in order to better support data-driven decisions
  • Get hands-on: Formulate hypotheses and build ad-hoc analytical models using core statistical concepts, and train other team members and stakeholders in similar analysis
  • Get insightful: Provide actionable conclusions and recommendations that directly address product and business objectives
  • Reduce the data anomalies introduced into BI environments through oversight of QA and validation process and framework
  • Manage the communication, documentation and presentation of product insights, analysis, trends, corrections, etc
  • Look for ways to improve communication and knowledge sharing with peer teams throughout the company
  • You communicate easily with developers, data analysts and product managers
  • You have demonstrated experience leading direct and indirect reports towards efficiently developing solutions, deriving insights and meeting deadlines
  • You are very familiar with BI reporting and dashboarding tools, such as: Adobe Analytics, SAP Business Objects, Tableau, etc
  • You are extremely well-versed in technology related to big data, and have hands-on knowledge of the power of large-scale data technologies such as Hadoop, Spark, Hive, Pig, Cassandra
  • You possess deep knowledge of SQL and relational database management systems, including PostgreSQL and MySQL
  • You have familiarity with statistical analysis and predictive analytics languages and libraries, such as R, SAS, Python and Mahout
  • Advanced Excel knowledge
15

Consumer Product Analytics Manager Resume Examples & Samples

  • Eight to ten years of experience in project management activities in Banking or Financial Services
  • Five or more years of data analysis or related programming
  • Experience in SAS and/or WebFocus
  • Ability to identify and define business opportunities and risks as well as define and solve business problems
  • Knowledge of products, customers, transaction and interaction data and source systems is a big plus
  • Ability to work well independently and with limited direct supervision
  • Demonstrated leadership and critical thinking skills
  • Ability to data mine, analyze data, and present insights in meaningful way
  • Ability to team with others to work on complex problems engaging the strengths of others in a fast paced challenging environment
  • Excellent organizational, verbal and written communication, analytical and
16

Director, Product Analytics Resume Examples & Samples

  • Lead Mobile Analytics, Website Analytics and Tools & Instrumentation efforts
  • Coach and manage a team of 6-8 experienced analysts
  • Engage with the VP of Product and product directors to develop analytics vision and engagement model
  • Leverage data and insight to co-develop product roadmap with VP of Product and his direct reports
  • Champion analytics and data-driven decision making best practices and promote them within the Product organization
  • Leverage data to create a holistic view of onsite and in-app customer behavior and to diagnose drivers for business impact
  • Partner with business stakeholders (Product, Marketing) to diagnose business problems
  • Partner with BI / Data Warehouse team to define data and reporting requirements, identify data issues and improve data solutions
  • Partner with Marketing and Supply analytics teams to tackle company-wide analytical challenges and drive overall business impact
  • B.S. Degree Computer Science, Engineering, Statistics or Economics
  • MBA or an advanced degree in Statistics or Economics
  • 5-7 years of demonstrated success in web, mobile, marketing, product or customer analytics
  • 3-5 years of experience in managing a team of technically advanced analytical professionals
  • Strong applied analytics with extensive analytical toolset including an advanced understanding of statistics
  • Proven ability to quickly diagnose business problems and translate high-level business questions into analysis roadmaps
  • Excellent written and verbal communication. Ability to leverage and create frameworks to assist with communicating complex ideas to different audiences
  • Track record of leading highly collaborative cross-functional efforts, including partnering with Product and Marketing professionals
  • Deep knowledge of ecommerce, online marketing, and mobile trends
  • Experience of working in a fast paced, evolving, team environment
  • Experience of working with the C-suite
  • Familiarity with the travel industry preferred
  • Top strategy consulting or top corporate strategy experience is a plus
17

Principal Product Analytics Manager Resume Examples & Samples

  • Provide strong consulting through a deep understanding of business problems, being able to connecting data, analytics and people, and developing and implementing creative solutions to support the social marketing
  • Work with a team of high-performing analytics, data science professionals and product managers to identify business opportunities and optimize product performance/engagement
  • Own end-to-end product analytics - analyze and mine both structured and unstructured data to drive product centric as well as user centric insights
  • Develop and test analytical solutions to be leveraged by both internal and external clients
  • Effectively communicate findings and insights from data to business partners to drive data-driven product and business decisions
  • Be a thought partner to the product team
  • Proactively identify opportunities to leverage insights across multiple pyramids throughout the organization
18

Assoc Manager, Product Analytics Resume Examples & Samples

  • Apply data skills to help understand how our customers use our products
  • Design experiments (A/B tests) and distill their results into actionable outcomes
  • Execute cohort studies and deep-dive analyses to identify opportunities for improving our product(s)
  • Define and analyze product metrics. Help unpack the why behind the what
  • Collaborate with product managers and other internal teams to develop reports and visualization dashboards
  • Build financial models to project key business metrics - Traffic, conversion, Engagement and KPIs design
19

Analyst, Beta Product Analytics Resume Examples & Samples

  • Liaise with internal business and newsroom stakeholders to understand their objectives, challenges and opportunities
  • Use exploratory analysis to deeply understand the New York Times audience and their behavior across platforms
  • Design, build and automate dashboards
20

Senior Director, Product Analytics Resume Examples & Samples

  • Drive analytics-based decision making to enable Product to deliver results and strategically allocate resources
  • Drive CAMG test strategy, standards, methodology and enablement
  • Develop strong relationships; interact with and support a variety of teams and individuals within the organization to make data-driven business decisions aimed at growth
  • Inform site optimization strategies, by proactively providing quantifiable recommendations to drive growth
  • Oversees the implementation, maintenance, accuracy and improvement of Digital analytics data capture, systems and tools
  • Bachelor of Arts or Bachelor of Science in Mathematics, Statistics, Research or related degree
  • 8+ years leading a team of professional resources, analytic leadership and/or business management required
  • Experience with business intelligence systems (e.g. Microstrategy, Platfora, Tableau or Datameer.)
  • Experience directing architectural considerations for developing web analytics frameworks involving massive data sets in enterprise environments
  • Strong analytical and reporting skills, including an understanding of cause and effect and advanced statistical methods available to enhance findings
  • Master’s degree in marketing, business, economics, statistics or mathematics preferred
21

Global Product Analytics Manager Resume Examples & Samples

  • Partner with internal product owners to understand needs and develop custom analyses
  • Define KPIs to monitor products and for new product updates
  • Provide guidance to the product and engineering teams to implement needed tracking in new product features
  • Create and maintain dashboards to track KPIs and increase data visibility throughout the company
  • Work with engineering and QA teams to ensure data is being collected properly, cohesively, and understandably
  • Assist the product team in A/B testing new product features and updates
  • Meet regularly with key stakeholders to share data and seek feedback on what information would be useful
  • Provide insights on the numbers across the company, including to directors and executives, and make suggestions on where to focus strategic efforts
  • Report on the success of new product features and updates
  • Monitor the data regularly for possible errors or changes, and report on those appropriately
  • Regularly work with, review, and recommend vendors to track and report on our products
  • Partner with the Data Engineering team to ensure data completeness and fidelity
  • Work with and understand raw data, including working with Data Engineering team to meaningfully summarize complicated data sets so they can be queried more quickly
  • Bachelor's degree, ideally with a focus on statistics or business
  • A minimum of 4 years of business experience
  • Excel skills and proven ability to manipulate large quantities of data
  • Experience with databases; SQL skills desirable
  • Strong communication, writing, and presentation skills
  • Ability to interpret data and explain complex behaviors and analyses
  • Ability to provide appropriate and actionable business recommendations to directors and executives
  • Proven ability to understand team objectives and translate questions into insightful analysis
  • Proven ability and interest in quickly learning new analysis tools and software
  • Experience analyzing user behavior on a website and/or app, including engagement, retention, and behavior modeling
  • Experience with online community analytics, e.g., comments, likes/replies, engagement
  • Experience working for an online publisher with an ad-supported business model
  • Experience with Adobe Analytics (Omniture), Localytics, or other web and app tracking tools
  • Experience with Looker, Tableau, or other data visualization software
  • Experience with a statistical programming language such as R or a scripting language such as Python
  • Experience in a kanban or agile workflow environment, using Jira or other toolsMarket Research
22

Product Analytics & Insights Resume Examples & Samples

  • 5-7 years experience in analytics/insights role in technology companies with growing scope and responsibilities
  • Strong background in Trust | Risk | Payments area
  • Strong technical and quantitative background with Masters degree in Computer Science, Math, Physics, Engineering. PhD degrees prefered
23

Product Analytics Specialty Bio Resume Examples & Samples

  • Cultivate strong knowledge of Oncology disease areas with in-depth understanding of market dynamics and forward looking insights
  • Expertise in forecasting and associated epidemiology
  • Champion new approaches & techniques to forecasting
  • Drive partnership with internal business partners to define and answer key strategic questions
  • Work collaboratively with brand teams and business analytics partners to ensure market insights are integrated into forecasts and strategic analysis
  • Monitor and evaluate major trends in the marketplace
  • Identify knowledge gaps in understanding of market and develop analytics to fill these gaps
  • Present scenario and strategic planning results/recommendations to a global audience including senior management
  • Provide support for strategic planning and KPIs
  • Consult with Global marketing on market research and analytics that align with strategic imperatives
24

Analytics Manager, Product Analytics Resume Examples & Samples

  • You are comfortable working with ambiguity and have the ability to define and solve ill structured problems by using available data and making reasonable assumptions
  • You relentlessly focus on action-oriented insights, driving your analysis to “so what” conclusions that influence business strategy
  • You can seamlessly work across projects in a constantly evolving corporate environment
  • Provide data driven recommendations to product leadership to support multiple, concurrent business assessments for the team
  • Serve as trusted business partner with product stakeholders, working collaboratively and proactively with teams to optimize analysis and insights while maintaining regular communication to update stakeholders on progress made on projects
  • Proactively engage with multiple departments across the org, including Product and Engineering to solve problems and identify trends and opportunities
  • Responsible for developing and communicating business requirements to data management team in order to operationalize reporting and automate recurring analyses
  • Knowledge of SQL is highly preferred
  • Experience working in an e-commerce environment is highly preferred
  • Experience with web analytics tools such as Omniture, Tealeaf is highly preferred
  • Excellent verbal, written and data presentation skills are a must-have
  • Ability to communicate in a clear and effective manner
  • Ability to prioritize among conflicting demands in a fluid environment
  • 4-5 years of work experience analyzing data to answer business questions
  • Strong SQL skills for efficiently querying large databases. Hadoop experience a plus
25

Director of Product Analytics Resume Examples & Samples

  • Lead a team of analysts to embed a data-driven culture within the company
  • Carry out market research to identify opportunities to develop new products or make changes to existing products
  • Design A/B tests and experimentation for product features, analyse how the key metrics respond and evaluate whether to increase exposure or stop the experiment
  • Define a framework for experimentation, design and run experiments with feature teams, making sure it is stratified and designed fairly
  • Co-create with Product Managers and analyze the product metrics and key funnels
  • Provide the product and engineering teams with benchmark for new product performance.Initiate and maintain strong relationships with relevant industry partners, suppliers and contractors
  • Possess a strong business sense to translate complex market research data into manageable and useful marketing suggestions
26

Product Analytics Leads Resume Examples & Samples

  • Revenue forecasting
  • Statistics and Statistical analyses
  • Tableau data visualization
  • ETL experience: Hands on experience working with very large data sets, data mining, and data cleansing/transformation
27

Director, Product Analytics Resume Examples & Samples

  • Collect, analyze, and report on the progress of long-term company goals as articulated by the leadership team
  • Turn data collection and analysis into actionable recommendations for product features
  • Work alongside engineering counterparts with a strong technical capability to design and implement instrumentation
  • Hold regular meetings with engineering, product and leadership teams to share new data and analysis, and help make data a cornerstone of decision making in the company
  • Improve data extraction and analytics methodologies to expedite product testing
  • Be the team’s liaison to Product Managers. Provide them with information about how features are being used and suggest opportunities to improve engagement
28

Senior Manager, Product Analytics Resume Examples & Samples

  • Lead and manage a team of highly skilled managers. The incumbent will plan, set objectives and expectations as well as provide ongoing feedback, coaching and mentoring to staff aligned with strategic priorities of the Credit Card business
  • Lead partnership and co-brand analytical activities and assist the Business Development and Partnership teams with business casing, performance tracking and analysis. Help define and assess M&A opportunities by providing insightful data and business intelligence
  • Lead the creation of strategic analysis to facilitate the development of product and risk-reward strategies that will drive growth in assets, revenue and/or profitability for the Credit Card portfolio while maintaining an optimal risk-reward balance
  • Support Finance in developing P&L pro-forma, business case development, assess product profitability at the product, portfolio and customer level as well as support the annual business planning process
  • Collaborate with stakeholders within the Credit Card portfolio as well as partners within and outside the bank to deliver optimal results for the Customer and Scotiabank
  • Devise or influence the creation of effective analytical and segmentation methodologies to monitor the health of the portfolio through internal as well as competitive benchmarking analysis and provide actionable insights to incumbents manager as well as senior management to ensure profitable and sustainable growth of the Credit Cards P&L
  • 7+ years analytical experience required including statistical analysis
  • 5+ years related experience in Marketing or Finance with P&L responsibility
  • A strong sense of urgency and a proven ability to understand, and effectively assess multiple, ongoing requests
  • A highly analytical and strategic thought leader who informs and contributes meaningful and tangible value to the tactical direction of the cards business
29

Manager, Product Analytics & Insights Resume Examples & Samples

  • 8+ years of experience in business/product analytics or 6+ years if MBA or Phd
  • Education in quantative fields such as Science, Stattistics, Economics, Mathematics, Engineering, etc
  • Proficiency in SQL required, SAS/R, Hive/Pig preferred
  • Experience in basic statistics and modeling techniques (e.g A/B testing, regression, other data mining techniques)
  • Willing to be hands on
30

Digital Product Analytics Manager Resume Examples & Samples

  • Collaborating with digital product teams to define relevant questions about user growth and engagement
  • Leading the creation of a comprehensive view of relevant consumer behaviors, incorporating a wide variety of signals, data types, and sources
  • Shaping research and analytic plans, developing appropriate quantitative methodologies, and driving the execution of digital product and consumer analytics from end-to-end
  • Proposing measurement strategies to translate business goals into KPIs
  • Participating in and injecting consumer knowledge across the digital product development lifecycle
  • 3+ years experience doing quantitative analysis on digital products or digital marketing experiences
  • Experience working as an embedded partner to product management and technology teams
  • Fluency in SQL (Hive, Impala) or similar experience in analyzing large structured and unstructured datasets
  • Experience using analytics to understand digital consumer behavior and identify opportunities to accelerate growth
  • Experience with a statistical package is a plus (such as R, MATLAB, SPSS, SAS, Stata, etc.)
  • An understanding the current digital product landscape, particularly iOS and Android apps is a plus
31

Senior Manager, Product Analytics Resume Examples & Samples

  • Train analysts in analytics best practices, as well as ensure continuous improvement of analytics methodologies
  • Supervise standard reporting efforts by reviewing reports, driving clarity of insights and maximizing efficiency
  • Collaborate with peers across the organization to ensure standard reports are meeting or exceeding their needs
  • Administrator of digital analytics technology (ie Adobe Marketing Suite, MicroStrategy, Google Analytics, Platfora, and Datameer)
  • Work directly vendors to resolve issues and drive those that you lead to leverage technology in new ways
  • Serve as strategic project lead for large company projects defined as costing more than $250K and review results with the Executive Leadership team
  • Possess high level presentation skills and coach others on the team with their presentation skills to articulate analytical concepts in a concise manner to internal and external groups of up to 60 people, including an executive audience
  • Willingness to seek out opportunities to present at industry events
  • Own data sets and ensure their use across the company are consistent and proactively drive best practices across the enterprise
  • Supervise/manage/direct the selection, training, development, appraisal and work assignments of personnel across multiple teams
  • Works divisional executives to define priorities & to manage the production and distribution of on-going reporting, analyses and insights into AutoTrader.com and KBB.com visitor behaviors and associated businesses
  • Oversees production of such analyses, sets expectations and helps team members establish priorities
  • Oversees information provided to monitor the health of AutoTrader.com and KBB.com to provide actionable trend information and future forecasts
  • Working with team members to establish methodology; manages and prioritizes A/B and multivariate testing projects
  • Using all advanced statistical information and models to model and predict the outcome of proposed projects and provide data-driven recommendations to ensure successful execution
  • Manage the implementation, maintenance, accuracy and improvement of web analytics data capture, systems and tools
  • Interact with and support a variety of teams and individuals within the organization to make data-driven business decisions aimed at growth/business optimization
  • Master’s degree (M. A.) from four-year college or university; and/or four to six years related experience and/or training; or equivalent combination of education and experience
  • Extensive experience with web / digital analysis and related software preferred (e.g., Adobe Analytics / Omniture, Google Analytics, WebTrends, etc.)
  • Management experience - including the ability to motivate employees, develop them professionally and create a results-driven culture
  • At least 3-5 years in an analytical/statistics focused position, preferably in a web site analysis-oriented role
  • Knowledge of implementation, maintenance, accuracy and improvement of web analytics data capture, systems and tools (Omniture or similar)
  • Must be able to understand and analyze data, synthesizing large volumes of data and complex questions into clear analyses and actionable findings
  • Background in/experience with experimental design
  • Proficient personal computer skills including electronic mail, record keeping, routine database activity, word processing, spreadsheet, graphics, etc
  • Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form
  • Analytical, problem solver, collaborative, strategic, results-oriented
32

Mobile Product Analytics Manager Resume Examples & Samples

  • Apply your expertise in quantitative analysis, data mining and the presentation of data with a singular goal of profit maximization and with a religious focus on actionable analytics
  • Serve as trusted business partner with product and marketing partners, working collaboratively and actively with teams to optimize analysis and insights while maintaining regular communication to update partners on progress made on projects
  • Actively engage with multiple departments across the org, including Product, Engineering and Marketing to solve problems and identify trends and opportunities
  • Inform, influence, support decision making for mobile business. Understanding the unique opportunity of mobile products and how it can be used to provide recommendations and complete the data loop
  • Function independently with little to no supervision, taking ownership of key analytical projects
  • Lead test design and analysis to turn recommendations into test ideas in production
33

Director of Product Analytics Resume Examples & Samples

  • The role requires expertise in the MicroStrategy Platform and experience with complex implementations
  • Ability to drive overall Project Delivery milestones and deadline
  • Strong data and enterprise architecture experience in both classic relational database architecture and implementation as well as a solid experience in; analytics, BI platforms / stacks and deployment methods
  • Provides technical leadership and influences data strategy across multiple projects
  • Partner with multiple domain architects and business leaders to translate business strategy and requirements into data solutions that align with enterprise architecture and strategic direction in technical and business environments
  • Develop, administer, and maintain centralized enterprise Analytics services capability
  • Implement policies and procedures for ensuring the security, quality, integrity and availability of enterprise wide information
  • Continuously monitor, measure and improve availability of quality data and information across the enterprise
  • Participate in cross - functional teams that address strategic business issues
  • Liaise with stakeholders on an ongoing basis
  • Direct and mentor a team of reporting developers, data developers, architects, administrators and data quality personnel
  • Lead data governance / quality / stewardship / integrity / security initiatives
  • 5+ years’ experience in product management, product strategy leadership or related work
  • Proven ability to quickly understand the Health Systems ecosystem, and analyze and define product opportunities that provide competitive differentiation
  • An understanding of the analytic and business intelligence solutions within the payer and provider markets
  • Passion for creating compelling solutions for the healthcare payers and providers and a strong desire to help shape the future of healthcare solutions
  • Familiarity in relevant product management methodologies (i.e. Pragmatic Framework, Agile / Scrum)
  • Highly collaborative and able to build collaboration across multiple stakeholders in complex environments
  • Strong decision - making capability. Capable of digesting complex information to understand core issues, develop proposed solutions that align with client and market
  • Equally capable of defining strategic imperatives and guiding the overall execution thereof
  • Must be a high - energy self - starter who thrives in entrepreneurial and collaborative environments
  • Own and support accountability for the product lifecycle
  • Proactively bring new ideas and innovative solutions forth
  • Proficiency with content management systems and third - party systems and platforms
  • Willingness and ability to travel (up to 40% travel)
  • Strong prioritization and exceptional communication skills
  • Ability to fail - fast, recover and ultimately succeed
34

Director, Product Analytics Resume Examples & Samples

  • 10+ years experience in analytics/insights role in technology companies with growing scope and responsibilities
  • Proven ability of using data driven decision and insights to drive product roadmaps and outcomes in leading technology companies
  • Hands-on ability in using various tools and packages such as R, SPSS, Matlab, SQL etc
35

Manager, Product Analytics Resume Examples & Samples

  • A minimum of 5 years’ experience in the healthcare and/or pharmaceutical industries is required
  • 2+ years’ experience in the generics industry in a commercial role is preferred; alternatively, 2 years of product management or business intelligence experience in a similar industry
  • Experience in market research, market analysis, or financial analysis is a plus
  • Experience managing spending and external vendors is desirable
  • Strategic thinking and business acumen, with proven ability to understand and analyze business problems
  • Able to operate with cross-functional teams (e.g., sales, marketing, regulatory affairs, etc.)
  • Able to break down and summarize complex analyses and recommendations for clear presentation to management
  • Proven expertise with the Microsoft office suite (Excel, PowerPoint, Access) is essential
  • Knowledge of and experience analyzing secondary pharmaceutical market data sources
36

Analytics Manager, Product Analytics Resume Examples & Samples

  • As a member of the Expedia Worldwide Analytics and Revenue Management team, you will deliver analysis support and informed guidance to the corporate leadership and internal clients throughout Expedia's global business
  • Utilize data science tools to build predictive models, machine learning algorithms and prescriptive analytics to improve MiT performance and customer experience
  • Actively engage with multiple departments across the org, including Product, Engineering, Merchandising, Site optimization and Finance, to solve problems and identify trends and opportunities
  • Inform, influence, support decision making for packages product. Understanding the business implications of changes made on package & MiT products and coming up with optimal strategies to improve critical metrics (page traffic, engagement, bounce, Click-through, CVR, Attach rate etc.,)
  • Function independently with little to no supervision, actively taking ownership of key analytical projects
  • Knowledge of SQL is required
  • Preferred - Knowledge/background in Statistics, Hypothesis testing and various distributions
  • Experience with web analytics tools such as Omniture, Tealeaf is highly preferred (training will be provided if you have no experience with such tools)
  • Understanding of advanced statistical/predictive modeling, computational systems, operation research and optimization techniques is required. Experience with at least two of the data science tools such as R, Spark, Python, Scala, MATLAB, SPSS, SAS, Stata, etc. is highly preferred
  • Experience with Hive and Hadoop preferred
  • Master's degree in a Business/economics/math/technical field or related discipline required. MBA highly preferred
37

Manager, Product Analytics Resume Examples & Samples

  • 5+ years of experience in the analytics, data engineering, or data science space
  • 2+ years experience leading a highly technical team in a dynamic environment
  • Impressive track record of being able to deliver on complex projects, solid project management skills and attention to detail
  • Hands-on experience in architecting and developing actionable and insightful dashboards and reports
  • Proven expertise in conducting meaningful and impactful ad hoc analyses
  • Experience in defining KPIs and metrics that encapsulate product fundamentals
  • Flexibility and comfort working in a dynamic organization with minimal documentation and process
  • Experience with following technologies: AWS, Spark, Python/R, SQL
  • Working knowledge of ETL best practices
  • Keen interest in the health and fitness, wellness and technology industries
38

Director, Product Analytics Resume Examples & Samples

  • Provide data-driven recommendations to our Product teams on how to improve site conversion and efficiency
  • Implement new and innovative analyses to inform and help prioritize our Product roadmap
  • Understand key business and conversion drivers to better define KPIs for the Product organization that are aligned with the company’s overall strategic direction
  • Work with the broader Analytics Platform team in an Agile model to implement self-service data products that will allow the Product teams to access accurate information directly and easily
  • Implement visualizations that allow customers to easily see important trends in our KPIs, and which the Analytics or Product teams can use to spot anomalies and/or opportunities
  • Respond to ad hoc analytical questions from key partners, especially for readouts on key tests and/or recent changes that could heavily impact company sales
  • Partner with the Technology and Engineering teams to ensure continuous improvement in data collection and underlying data systems to adequately support advancements in our data products and improve our insights
  • Participate in and at times help lead sections of the Product weekly meetings to ensure insight-based decision making
  • Directly manage team of 3-4 professionals, ensuring we have training and career development plans that will set them and their own teams up for success today and going forward
  • High technical aptitude, with a willingness to develop further as data-based analyses grow deeper and more complex
  • Ability to work independently and proactively, identifying issues and raising them to management, as well as offering potential solutions
  • Ability to build and present evidence-based stories
  • Bachelor degree in an analytical field (e.g., Strategy, Business, Economics, Mathematics, Statistics) and 8+ years of experience in data analytics OR Masters degree in an analytical field (e.g. Strategy, Business, Economics, Mathematics, Statistics) and 5+ years of experience
  • 4+ years experience managing teams
  • Significant experience with SQL required; meaningful experience with big data platforms/languages (Hadoop, Hive) and other coding languages (Python, Scala) strongly preferred
  • Strong willingness to advance technically post-hire
  • Proven experience working with web analytics and visualization platforms (egs: Google Analytics, Tableau) to implement self-service visualizations
  • Expert-level business modeling (Excel) and strategic problem solving skills (issue trees, frameworks, etc…)
39

Director of Digital Product Analytics & Experimentation Resume Examples & Samples

  • Develop trusted advisor relationships with product, user experience, business stakeholder and technology leadership
  • In partnership with them, identify, prioritize and execute analytic work that delivers insights into the full breadth of our product offering and customer experience
  • Influence product and technology strategy and direction (roadmap), and product and user experience decision-making through full suite of analytic and experimentation tools
  • Design and execute sophisticated analytical models and testing methodologies/processes
  • Build and experimentation program and culture
  • Recruit, manage and develop the Product Analytics team of business analysts and statisticians, providing thought leadership, sounding board and professional development
  • Bachelor degree required; Master’s degree desired; statistics, mathematics, and sciences preferred
  • 10+ years relevant experience with 4+ years in e-commerce/internet in a business analytics, business intelligence, or data capacity
  • Exceptional communication and presentation skills, with ability to present and translate complex information to both executive and technical partners
  • Exceptional track record at building relationships, and partnering with internal clients on complex business problems to develop actionable recommendations
40

Manager of Product Analytics Resume Examples & Samples

  • Influence product and technology strategy and direction (roadmap), and product and user experience decision-making through full suite of analytic tools
  • Design and execute sophisticated analytical models
  • Develop reporting and analytic tools/capabilities for our product managers, designers and engineers
  • Work with Product and Engineering teams to develop new data and analytic capabilities
  • Define and monitor key operating metrics for the Product and Technology organizations
  • Unlock and champion self-service analytics for the product organization
  • Evangelize the power of analytics and experimentation in building a data-driven organization
  • Bachelor degree required; Master’s Degree desired; statistics, mathematics, and sciences preferred
  • 6+ years relevant experience with 4+ years in e-commerce/internet in a business analytics, business intelligence, or data capacity
  • Experience managing direct reports in a cross-functional environment
  • Strong working knowledge of applicable technologies/concepts including: data warehousing and data mining; big data; web analytics and web analytic solutions; A/B testing; and dashboard/reporting solutions
  • Strong analytic/modeling skills with understanding of statistical tools, statistical techniques, and advanced testing methodologies
  • Experience retrieving/summarizing big transactional data sets and integrating those data with customer and merchandise data to develop new insights
41

Manager, Product Analytics Resume Examples & Samples

  • Apply high end analytics techniques to deliver insights on business drivers and levers to influence business performance
  • Identify, source and mine large volume of structured & unstructured internal and external data
  • Identify and assess current business opportunities and risks, to contribute in business planning, performance reviews, and outer year strategic forecast to optimise profitability/costs across the Connected Core portfolio
  • Collaborate with Finance to deliver accurate, genuine bottom up forecasting identifying performance drivers, business levers to recommend business actions. Analytics is used to understand the product portfolios, customer behaviour, market forces, and internal operations of the business and drive decisions on the direction of the business; and
  • Utilise data science capability to execute advanced quantitative analysis (ie. data mining)