Data Product Analyst
About The Position
We are building an organizational operating system that turns data from multiple sources into trusted product experiences, analytics, and AI-assisted workflows. As a Data Product Analyst, you are responsible for the integrity and effectiveness of the data layer behind these products. This role requires end-to-end ownership to ensure that data is accurate, well-defined, and performs reliably in real usage. You coordinate across design, program management, and technical teams to make sure the right data is brought in, structured correctly, and consistently delivers trusted outcomes. AI is a key accelerator, but accountability for correctness and performance always remains with you. This is not a pure analysis role and not an engineering role. You are the owner of data quality and usability, ensuring the system can be trusted at scale.
Requirements
- Bachelor's degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Engineering, Statistics, or a related field, with 2+ years of equivalent professional experience.
- 1+ year of experience in data analysis, reporting, business intelligence, data operations, or a related data-focused role.
- 1+ year of experience using SQL or a comparable data-querying language to retrieve, analyze, or validate data.
- Experience working with 2+ data sources or datasets, including identifying data relationships, inconsistencies, or quality issues.
- Demonstrated experience communicating data findings, requirements, or recommendations to both technical and non-technical stakeholders.
Nice To Haves
- 2+ years of experience in data analytics, business intelligence, data operations, data quality, or product analytics.
- Experience supporting at least 1 data product, analytics platform, business intelligence application, or data-driven workflow.
- Experience with at least 1 data visualization or reporting platform, such as Power BI, Tableau, Looker, or similar.
- Experience with Python, R, or another scripting/automation language for data analysis or workflow automation.
- Experience using AI/GenAI tools to accelerate data analysis, validation, documentation, or workflow automation while independently validating results.
Responsibilities
- Own the data product backlog: prioritize sources/domains, define readiness, and remove blockers to ensure continuous delivery of usable, high-quality data.
- Translate design and workflow needs into precise data requirements (fields, granularity, definitions, acceptance criteria).
- Build deep understanding of data structures and relationships across sources, including limitations and edge cases.
- Ensure data accuracy and consistency: identify gaps, resolve inconsistencies, and enforce clear, shared definitions across stakeholders.
- Validate data performance in practice: ensure outputs are timely, reliable, and support decision-making at scale.
- Deliver clear analysis and narratives for Program Management and leadership, focusing on actionable insights and exceptions.
- Leverage AI tools to accelerate analysis and workflows, while maintaining strict human validation of outputs.
- Act as the bridge across design, Program Management, and technical teams, ensuring alignment between product intent, data readiness, and delivered outcomes.
- Work with technical owners of pipelines/SQL while owning definitions, quality acceptance, and trust in the final data product.
Benefits
- Incentive opportunities that reward employees based on individual and company performance.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
