Data Product Analyst

Job Description

The Data Product Analyst plays a critical role in shaping and delivering data products that enable business insights and operational efficiency. This position serves as the link between business stakeholders, data engineering teams, and governance functions to ensure data products are well‑defined, secure, and aligned with enterprise standards. The analyst will translate business requirements into technical specifications that leverage modern data platform capabilities such as AWS, Snowflake, Databricks, ensuring seamless implementation by engineering teams.

In addition to defining requirements, the role involves performing data profiling, establishing data quality rules, maintaining data catalogs, and supporting data governance operating models. The analyst will also design and manage access control processes, including ongoing triage and approval workflows, to ensure secure and compliant data usage across the organization.

Responsible for working on big data/analytics projects that gather and integrate large volumes of data, perform analysis, interpret results, and develop actionable insights and recommendations for use across the company. Acquires data from multiple data sources in order to perform analysis. Identifies, analyzes, and interprets trends or patterns in complex data in order to provide answers to business questions as well as provide recommendations for action.

Interprets data and analyses results using various statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they activate upon them and make data‑driven decisions. Collaborate with various partners to provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments.

Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.

• Data Product Development & Management
  • Collaborate with product managers and engineering teams to define and prioritize data product features and enhancements.
  • Translate business needs into clear, actionable data requirements and specifications that align with platform capabilities for seamless implementation.
  • Support the design and development of data models, pipelines, and APIs for data products.
• Data Analysis & Insights
  • Perform exploratory data analysis to identify trends, patterns, and anomalies.
  • Develop dashboards, reports, and visualizations to communicate insights effectively.
  • Partner with business teams to define KPIs and success metrics for data products.
• Stakeholder Collaboration
  • Act as a liaison between technical and non‑technical teams to ensure alignment on data strategy.
  • Gather feedback from stakeholders to continuously improve data products and services.
• Data Governance & Quality
  • Ensure data integrity, accuracy, and compliance with governance standards.
  • Monitor data pipelines and troubleshoot issues to maintain reliability.
  • Perform data profiling analysis by working with System of Record (SOR) owners to:
    • Capture data classification and sensitivity levels.
    • Define and document data quality rules.
    • Assess data availability and refresh schedules.
    • Maintain and update the data catalog.
    • Support the development of a sustainable data operating model.
• Access Management & Security
  • Help identify access management processes for data products.
  • Design and document access management rules based on existing patterns and governance standards.
  • Collaborate with security and compliance teams to ensure proper role‑based access controls are implemented.
  • Manage ongoing access management triage and approvals for data products, ensuring timely and compliant access provisioning.

• Bachelor's degree in a related field, or equivalent work experience
• Five to seven years of statistical and/or data analytics experience

• Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, Geo‑spatial tools and others to perform analysis and interpret data
• Experience in analytics, advanced…