RecruitSeq

www.recruitseq.com

1 Job

1 Employees

About the Company

RecruitSeq is a specialized recruiting firm for founder-led AI/ML and healthtech startups. We connect growth-stage teams with technical and operational talent who turn bold ideas into reality. Founded in Boston and active nationwide, we offer both contingent and retained search. If you need exceptional hires or a new role, let's connect.

Listed Jobs

Company Name: RecruitSeq
Job Title: Product Data Analyst
Job Description: Job Title: Product Operations Data Analyst Role Summary: Transform user support and product usage data into actionable insights to optimize product roadmaps and operational strategies. Bridge gaps between Product, Engineering, and Operations through scalable analytics infrastructure and decision-grade intelligence. Expectations: 5+ years in analytics, business intelligence, or data science roles. Expertise in SQL and Python/R. Proven BI dashboard development experience. Ability to translate insights for technical and non-technical stakeholders. Cross-functional collaboration. Focus on automation and data governance. Key Responsibilities: - Design/maintain self-serve BI dashboards for KPI tracking and real-time analytics. - Analyze product usage patterns, AI model adoption, and user workflows to prioritize product development. - Define unified metrics taxonomy and build automated pipelines/scorecards for cross-functional alignment. - Conduct deep-dive analyses on user friction, support efficiency, and product performance. - Prototype analytics solutions (ChatGPT, Jupyter, etc.) and collaborate with engineering to scale. - Partner on predictive modeling and A/B testing to drive operational decisions. - Monitor support metrics (SLAs, resolution rates) to refine service delivery. Required Skills: - Expert SQL proficiency; strong Python/R for analysis/automation. - BI tool experience (Looker, Tableau, Mode). - Metrics framework design and performance measurement. - Cross-functional teamwork with engineering, product, and operations. - Data storytelling for technical/non-technical audiences. Required Education & Certifications: Bachelor’s degree in Statistics, Data Science, Computer Science, or related field. Certifications in BI tools or data analysis methodologies preferred but not required.

San francisco, United states

Hybrid

Mid level

09-10-2025