Product Operations Data Analyst

San Francisco, CA | Hybrid (3 Days)

Our client is a well-funded AI-powered design technology company building next-generation creative tools that bridge human creativity with machine intelligence. Based in the San Francisco Bay Area, their platform serves design professionals worldwide.

About the Role

We're hiring a Product Operations Data Analyst to transform user support and product usage data into actionable insights through always-on reporting and self-serve dashboards. You'll detect friction points proactively, build scalable analytics infrastructure, and deliver decision-grade intelligence that shapes product roadmap and operational strategy. This role reports directly to executive leadership and sits at the intersection of Product, Engineering, and Operations.

Responsibilities

Design and maintain self-serve BI dashboards enabling non-technical teams to independently answer data questions and track KPIs in real time
Analyze product usage patterns across AI model adoption, feature engagement, and user workflows to surface trends that inform product development priorities
Establish unified metrics taxonomy for service health and performance, building automated pipelines and scorecards for cross-functional alignment
Conduct high-priority deep-dive analyses on user friction, support volumes, and product performance, translating findings into clear strategic recommendations
Prototype rapid analytics solutions using modern tools (ChatGPT, Jupyter, Retool) before scaling with Engineering
Partner with data science and engineering teams on predictive modeling and experimentation, converting statistical insights into operational actions
Define and monitor support effectiveness metrics (SLAs, first-contact resolution, deflection rates) to optimize service delivery

Qualifications

5+ years in analytics, business intelligence, or data science roles, preferably supporting customer operations or product teams
Expert SQL proficiency and strong Python or R skills for complex analysis and automation
Proven experience building and maintaining BI dashboards (Looker, Mode, Tableau, or similar) with emphasis on clarity and accessibility
Track record translating complex datasets into compelling business narratives for technical and non-technical audiences
Deep familiarity with support and service health metrics, KPI definition, and performance measurement frameworks
Strong cross-functional collaboration skills with engineering, product, and operations stakeholders
Exceptional attention to detail with a bias toward automation and data governance
Comfort operating in fast-paced environments with shifting priorities

Preferred Skills

Experience in SaaS, AI/ML product companies, or high-growth startups
Background in experimental design and A/B testing frameworks
Exposure to modern data stacks and cloud-based analytics platforms
Understanding of AI model performance metrics and adoption analytics

RecruitSeq

Latest Jobs

Product Data Analyst