Responsibilities of the Candidate:

Identify recurring manual analysis requests and convert them into dashboards, templates, automated reports, or AI-assisted workflows.
Use AI tools to accelerate insight generation, anomaly detection, workflow documentation, and stakeholder-ready summaries.
Partner with data science, product, and technology teams to build a self-serve platform that lets stakeholders answer common product questions independently.
Maintain metric definitions, reusable query logic, and documentation so self-serve outputs remain trusted and consistent.
Partner with Product Managers to frame hypotheses, size opportunities, and evaluate product ideas using data.
Design and analyze experiments, A/B tests, cohort cuts, and pre/post launch reads to guide roadmap decisions.
Create clear readouts that connect analysis to customer impact, business impact, and next actions.

Requirements:

1-3 years of experience in product analytics, business analytics, data analytics, BI, or a related product-facing role.
Strong SQL and Excel or Google Sheets skills; experience with Tableau, Power BI, Looker, or similar visualization tools.
Comfort with product metrics, funnels, cohorts, experiments, and translating analysis into clear business recommendations.
Exposure to AI tools, workflow automation, no-code or low-code tools, Python, or analytics engineering is a plus.
Strong communication skills and the ability to work with Product, Data, Engineering, Growth, and business stakeholders.