DATA PRODUCT ANALYST RESUME EXAMPLE

Published: October 09, 2024 - The Data Product Analyst collaborates with the Master Data Team to compile data and utilize analysis for creating impactful business proposals. This role leads the enhancement and implementation of global company processes, including managing the discontinuation of products and optimizing portfolio performance through rigorous analysis. Responsibilities also include orchestrating complexity reduction projects, coordinating with global stakeholders such as Product Marketing and Supply Chain, and executing multiple research initiatives simultaneously.

Tips for Data Product Analyst Skills and Responsibilities on a Resume

1. Data Product Analyst, Solara Analytics, Boulder, CO

Job Summary:

  • Informs the Product Management team on data, focusing on quantitative insights to help inform strategic decision-making and recommend optimizations to help realize business goals
  • Educate internal partners (Product Management, Pricing, Marketing, Sales, Finance, Market Intel, MDL, etc) on the current state of product trends.
  • Consult with business partners to understand ongoing and ad hoc objectives and translate into impactful analytical strategies and plans
  • Authors reports containing actionable insights, detailed findings and recommendations leading towards optimization and profitable growth
  • Define critical metrics to measure performance across product offering
  • Collects and analyzes data and tracks KPIs to ensure consistent alignment to the marketing plan
  • Establish an appropriate cadence for each KPI and update when necessary
  • Build reporting dashboards and manage ongoing reporting activities
  • Describe and present data to non-technical audiences, including trends and insights
  • Lead discussions on analytical best practices, planning and capabilities.


Skills on Resume: 

  • Data Analysis (Hard Skills)
  • Reporting (Hard Skills)
  • Dashboard Creation (Hard Skills)
  • Business Acumen (Soft Skills)
  • Effective Communication (Soft Skills)
  • Consultation (Soft Skills)
  • KPI Tracking (Hard Skills)
  • Analytical Leadership (Soft Skills)

2. Data Product Analyst, NexSys Data Solutions, Richmond, VA

Job Summary:

  • Supports the Master Data Team through the compilation of data and using analysis to make impactful business proposals
  • Support and lead the process improvement discovery, training and implementation of global company processes
  • Take ownership of a Global Company Process that executes the discontinuance of product as well as drive process improvement within the current process
  • Support Product/Portfolio Management projects as well as optimization existing portfolios based upon analysis of portfolio performance
  • Work with various global company stakeholders, including Product Marketing, Supply Chain, and Demand Planning Teams, and compile required information to implement Complexity reduction projects that deliver established goals and objectives
  • Create and manage an effective project schedule
  • Collect and document missing information from global team members
  • Compile and organize data from multiple sources
  • Execute multiple research projects at the same time
  • Lead meetings and collaborate with other departments directly to ensure a successful project
  • Supports all areas of the Master Data Team with ad- hoc projects and analysis


Skills on Resume: 

  • Data Compilation (Hard Skills)
  • Process Improvement (Hard Skills)
  • Project Ownership (Hard Skills)
  • Portfolio Analysis (Hard Skills)
  • Stakeholder Collaboration (Soft Skills)
  • Project Scheduling (Hard Skills)
  • Information Documentation (Hard Skills)
  • Research Execution (Hard Skills)

3. Data Product Analyst, Prism Data Solutions, Madison, WI

Job Summary:

  • Conduct in-depth analyses to improve product growth, engagement, retention and revenue
  • Leverage data from various sources to track product adoption and usage
  • Help drive product strategy through detailed predictive modeling and market analysis
  • Track and analyze customer behavior to provide insights that help align marketing, product, customer success and business operations
  • Develop data roadmaps for the product
  • Collaborate with product to define and build data infrastructure
  • Own, manage, and recommend analytic tooling that is modern, scalable, and conforms to personal and customer privacy
  • Support teammates to interpret the data by making pivot tables, calculated fields, and data visualizations
  • Create datasets for one-off questions, and maintain a repository of questions and data previously pulled to answer similar questions quickly
  • Partner with BI team as well as analysts from other functional areas to develop comprehensive recommendations and insights
  • Gather, organize, and maintain key competitive information per assigned product line/segment and share with stakeholders when appropriate


Skills on Resume: 

  • In-Depth Analysis (Hard Skills)
  • Data Tracking (Hard Skills)
  • Predictive Modeling (Hard Skills)
  • Customer Behavior Analysis (Hard Skills)
  • Data Roadmapping (Hard Skills)
  • Data Infrastructure Collaboration (Soft Skills)
  • Analytic Tool Management (Hard Skills)
  • Cross-Functional Partnership (Soft Skills)

4. Data Product Analyst, Verity Insights, Albany, NY

Job Summary:

  • Provide data analysis focusing on quantitative insights to help inform strategic decision-making and recommend optimization to help realize business goals.
  • Discover patterns and educate internal stakeholders on the current state of product trends.
  • Construct SQL queries, and analyze and interpret results. 
  • Use rigorous statistical methods and business judgment to extract key insights.
  • Cultivate cross-functional relationships in order to understand the needs of the business at a high level and disseminate information that will impact business decisions across the organization.
  • Create ad-hoc reports and analyses in response to queries posed by senior management and product managers in a thorough and timely manner.
  • Support pricing through test result and win rate analysis. 
  • Support price algorithm analysis. 
  • Conduct analysis to identify pricing opportunities.
  • Create models to represent customer behavior and factory capacity for the purpose of revenue planning, business analysis, or supply-and-demand planning.


Skills on Resume: 

  • Quantitative Analysis (Hard Skills)
  • SQL Proficiency (Hard Skills)
  • Statistical Methods (Hard Skills)
  • Data Visualization (Hard Skills)
  • Cross-Functional Collaboration (Soft Skills)
  • Ad-Hoc Reporting (Hard Skills)
  • Pricing Strategy Analysis (Hard Skills)
  • Predictive Modeling (Hard Skills)

5. Data Product Analyst, Echo Data Services, San Mateo, CA

Job Summary:

  • Collaborate with internal stakeholders to understand the business and develop data driven insights that are both strategic and operational
  • Design, execute, and analyze complex A/B tests to optimize the customer journey and pathway to subscription
  • Use various sources of data to glean insights into market trends, the competitive landscape, and Sabre product performance
  • Understand customer needs and optimize key OTA performance to increase market share
  • Work with Technology counterparts on translating market insights into new products and /or features to drive Air Shopping & Availability product strategy and roadmap
  • Design, execute and analyze custom qualitative and quantitative market research projects to answer strategic or tactical questions.
  • Create visually compelling presentations that simplify the communication of complex information and enhance comprehension for non-technical audiences.
  • Lead and coordinate deep dives on specific topics using secondary data feeds from industry sources (research and commercial databases) and internal data from company databases.
  • Build reporting dashboards and manage on going reporting activities.


Skills on Resume: 

  • Collaboration with Stakeholders (Soft Skills)
  • A/B Testing (Hard Skills)
  • Market Analysis (Hard Skills)
  • Customer Needs Assessment (Soft Skills)
  • Product Development (Soft Skills)
  • Market Research (Hard Skills)
  • Data Visualization (Hard Skills)
  • Dashboard Development (Hard Skills)

6. Data Product Analyst, CentraStat Solutions, Provo, UT

Job Summary:

  • Work with Games data lead to support all phases of analytic work from problem definition to representation of results
  • Democratize data and insights through use of visualizations/dashboards and tools to improve access to data
  • Leverage advanced analytics in complex data sets to surface trends and actionable insights in product data.
  • Design an experimental framework to prove the impact of product changes on user behavior and business outcomes.
  • Acts as a consultant to product teams
  • Developing data literacy and empowering them to ask the right questions about user behavior
  • Work closely with development teams to ensure that proper analytics are in place to validate questions, insights, and efforts.
  • Participate in data modeling discussions and influence the data architecture to ensure the best performance for solutions required by the Product team.
  • Leverage SQL, BI tools, and Product Analytic tools (Amplitude) to design and develop new user-facing dashboards that fit stakeholders’ needs.
  • Provide high-level data interpretation so that the insights discovered can be easily shared and understood by stakeholders.


Skills on Resume: 

  • Analytical Support (Soft Skills)
  • Data Visualization (Hard Skills)
  • Advanced Analytics (Hard Skills)
  • Experimental Design (Hard Skills)
  • Consulting Skills (Soft Skills)
  • Data Literacy Development (Soft Skills)
  • Collaboration with Development Teams (Soft Skills)
  • SQL and BI Tool Proficiency (Hard Skills)

7. Data Product Analyst, LumaCore Technologies, Ann Arbor, MI

Job Summary:

  • Be responsible for improving the in-app experience of users
  • Engage with internal stakeholders to gain an understanding of the problems that need to be solved and gather requirements for analytical tasks
  • Model and evaluate user and device behavior in order to identify the potential value of planned projects
  • Develop and evaluate A/B test experiments or other analyses to measure and report the performance of released features
  • Enable data-driven product development through analysis of device, in-app, and external data
  • Extract, load and reconcile large data sets from multiple system platforms and sources.
  • Utilize SQL or other advanced analytic tools to perform data extraction and query functions.
  • Build post-measure dashboards that will serve as a feature monitoring tool for diverse stakeholders
  • Be involved throughout the complete product lifecycle in order to guarantee a data-driven process
  • Formulate insights, champion them and drive them into action
  • Support analytics implementations and tracking specs


Skills on Resume: 

  • User Experience Improvement (Soft Skills)
  • Stakeholder Engagement (Soft Skills)
  • User Behavior Modeling (Hard Skills)
  • A/B Testing (Hard Skills)
  • Data-Driven Development (Hard Skills)
  • Data Extraction and Reconciliation (Hard Skills)
  • SQL Proficiency (Hard Skills)
  • Dashboard Development (Hard Skills)

8. Data Product Analyst, Stratiform Data, Raleigh, NC

Job Summary:

  • Partnering with acquisition, CRM and product teams to design, execute, measure and improve the impact of efforts.
  • Analyzing and processing tonnes of data and use it to give actionable insights to the business, with the end goal of growth, retention and engagement.
  • Developing and running quantitative analysis, reports and more to support growth efforts.
  • Producing automated tools and dashboards to facilitate company-wide awareness and understanding of key metrics and experiment results.
  • Providing customer profiling and segmentation analysis, develop and optimize customer funnels.
  • Being the data and analytical lead on all kinds of projects (including BI and clinical ones), while working closely with cross-functional teams and senior management
  • Managing Analytics and BI tools (eg. Amplitude, Google Analytics
  • Translating business needs into data services by mapping, researching, processing, and designing Explorium’s external signals and rapidly growing database of quality sources.
  • Guide and collaborate with engineering in planning, processing, and on-boarding new data enrichment to feed models.
  • Work with a cutting-edge R&D organization and collaborate closely with winning Pre-Sales, Customer Success and Data Science functions on getting and onboarding the best data in the market, and to solve tough, real-world problems using cutting edge technologies such as machine learning and AI.


Skills on Resume: 

  • Cross-Functional Collaboration (Soft Skills)
  • Data Analysis and Insights (Hard Skills)
  • Quantitative Analysis (Hard Skills)
  • Dashboard Development (Hard Skills)
  • Customer Segmentation (Hard Skills)
  • Project Management (Soft Skills)
  • BI Tool Management (Hard Skills)
  • Data Services Translation (Hard Skills)

9. Data Product Analyst, BrightWave Analytics, Fort Collins, CO

Job Summary:

  • Reports directly to the Manager, Process Development, the Product Data Analyst (PDA) ensure integrity, quality, and compliance with SAP data maintenance
  • Creating and maintaining project set-up in the Planisware software environment in support of product development.
  • Manage daily requests for new product creation, address questions or concerns with the Product Development Team and work to resolve issues with the Data Governance Team.
  • Create and track new material requests and changes with daily follow-up on outstanding requests.
  • Partner with other Product Data Analysts to document processes and support cross-training.
  • Review packaging art files to validate data accuracy prior to artwork release.
  • Assist Product Development Team and Brand/Marketing teams to ensure new product set-up adheres to system and business requirements.
  • Guarantee data integrity during item creation and assign project status to accurately represent progress.
  • Delivery on individual and group Key Performance Indicators (KPIs) as they relate to item setup.
  • Resolve any product set-up issues with the Product Development Team to ensure compliance with customer point-of-sale requirements.


Skills on Resume: 

  • Data Integrity Management (Hard Skills)
  • Project Setup in Planisware (Hard Skills)
  • Request Management (Soft Skills)
  • Process Documentation (Hard Skills)
  • Data Validation (Hard Skills)
  • Compliance Adherence (Hard Skills)
  • KPI Delivery (Hard Skills)
  • Problem Resolution (Soft Skills)

10. Data Product Analyst, Orion Dataworks, Huntsville, AL

Job Summary:

  • Support the development of the website and native mobile application features for suppliers and shoppers
  • Empower Product Managers and executives to make data-driven decisions by making information accessible through dynamic and rich dashboards and by providing ad hoc reports when necessary
  • Partner with stakeholders to translate and refine questions into testable hypotheses
  • Analyze data using visualizations and statistics to evaluate performance, identify actionable insights, make recommendations, and influence the direction of the business by effectively communicating findings to cross-functional groups
  • Participate in the planning process for new features and initiatives and execute the project-level analytical strategy
  • Optimize and enhance the customer experience by assisting in the planning and execution of A/B and multivariate tests
  • Carry out aspects of Fashionphile’s data strategy related to web analytics tracking from defining requirements to validating and troubleshooting
  • Provide data management support to business units for new and ongoing projects.
  • Suggest recommendations for improving processes to help streamline workloads as well as provide direction and support to team members on current systems.
  • Attend weekly meetings to be informed of product development updates.


Skills on Resume: 

  • Feature Development Support (Soft Skills)
  • Dashboard Creation (Hard Skills)
  • Stakeholder Collaboration (Soft Skills)
  • Data Analysis and Visualization (Hard Skills)
  • Project Planning (Hard Skills)
  • A/B Testing (Hard Skills)
  • Web Analytics Tracking (Hard Skills)
  • Process Improvement (Soft Skills)