Data Analytics Specialist

Ovii's Interpretation of the Role

The Data Analytics Specialist partners with product leadership to design data products, build self‑service tooling, and turn analysis into actionable recommendations. You’ll work across a modern data stack (Looker, Snowflake, Amplitude, Python, R) to improve product outcomes and own key OKRs.

Role Snapshot

• Product‑focused analytics
• Data product development
• Self‑service BI tooling
• Cross‑functional partnership
• End‑to‑end metric ownership

Must-Have Requirements

• SQL
• BI tool (Looker, Tableau, Power BI, Sigma, etc.)
• Python and/or R
• product analytics
• defining and owning core product metrics

Nice-to-Have Signals

• A/B testing or experimentation frameworks
• Data governance initiatives
• Familiarity with AI workflows, LLM tooling, or agentic data products
• A/B testing
• data governance

Work Setup

• Location: Chicago, United States
• Work mode: REMOTE
• Remote scope: UNSPECIFIED
• Remote countries: Chicago, IL, US
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Salary range
• Visa sponsorship
• Relocation
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design and build data products that deliver actionable insights for internal teams and external customers
• Develop AI agents and MCP‑powered tools for organization‑wide self‑service data access
• Own and contribute to key OKRs through data‑led initiatives with product leadership
• Improve data quality, documentation, and governance to keep the data layer AI‑ready
• Lead exploratory and ad‑hoc analyses, turning complex data into clear recommendations
• Build and maintain BI infrastructure in Looker and Amplitude, including dashboards and reporting layers
• Act as a data thought partner, surfacing insights and shaping product strategy

Good Fit If You Have

• Strong written and verbal communication for non‑technical audiences
• Self‑motivated, end‑to‑end project ownership
• Collaborative mindset across product and engineering teams