What You’ll Do

Analytics & Insight Generation

• Turn business questions into clear analytical problems and build scalable frameworks that transform one-off analyses into repeatable solutions.
• Work with business, product, and engineering teams to define key metrics, track performance, and uncover insights that drive growth and efficiency.
• Partner with leadership to design KPI frameworks and reporting systems aligned with strategic priorities and operational goals.

Data Ownership & Product Stewardship

• Own your domain as a data product steward—ensure datasets, definitions, and models are accurate, well-documented, and consistently maintained.
• Partner with data and analytical engineers to strengthen pipelines, improve data quality, and enhance modeling practices for greater reliability and scalability.
• Help build team culture by improving processes, tools, and systems that enable consistent, high-quality analytics and better decision-making.
• Identify opportunities to optimize and automate data processes, making them more efficient and accessible across the organization.

Enablement & Self-Service

• Own the complete analytics workflow—from data exploration and dashboard creation to insight delivery—empowering teams with accessible, actionable information that drives confident decision-making.
• Integrate AI tools and automation into analytics processes to accelerate insight generation, streamline reporting, and expand self-service capabilities.
• Build training materials and best practices that enable teams to explore data independently.
• Create and keep documentation and data dictionaries clear and up to date, building trust and alignment across the company.

What You’ll Have

• 3–5+ years of experience in data analytics or a related field at a fast-paced, high-growth tech company
• A product-oriented mindset—you think in systems and build scalable solutions that create long-term value
• Proven ability to partner cross-functionally with RevOps, Finance, and Product teams to define business logic, metrics, and reporting frameworks
• Strong experience with BI and analytics tools (Looker, Omni, Tableau, Mode) and a solid understanding of data modeling
• Interest in integrating AI into analytics workflows to boost efficiency, uncover insights, and enhance decision-making
• Advanced proficiency in SQL and hands-on experience with modern data warehouses like Snowflake, BigQuery, or Redshift
• Proficiency in Python or R for analytical modeling, exploratory analysis, and storytelling that drives business insights
• Exceptional communication skills—you translate technical concepts into clear, accessible insights for any audience
• Strong ownership and curiosity—you proactively drive clarity, adoption, and continuous improvement across data practices while staying current with emerging tools and technologies
• Experience with payroll, finance, or media/entertainment domains and their data workflows is a strong plus