Full-Time Senior Product Analyst

As a Senior Product Analyst, you'll be primarily responsible for developing and optimizing KPIs to measure product success. You'll analyze user behavior and feature adoption to generate insights that drive product strategy.

Key Responsibilities:

• Lead the initial KPI development for the Product Management Department, ensuring all product and business objectives are measurable.
• Establish and maintain a framework for continuous KPI tracking, refinement, and optimization, ensuring that every product update or new feature has measurable KPIs in place.
• Conduct in-depth analysis of product performance, user behavior, and feature adoption, generating actionable insights that directly impact product improvements and strategy.
• Develop automated dashboards and reports to provide real-time insights to product managers and leadership.
• Collaborate closely with data engineers and technical teams to ensure all tracking and event logging are correctly implemented and aligned with business needs.
• Collaborate with cross-functional teams, including product, marketing, and sales, to provide actionable insights.
• Stay up-to-date with industry trends, competitor analysis, and emerging technologies to enhance product performance.
• Ensure data integrity and accuracy by regularly validating analytics pipelines and reports.
• Communicate complex data insights in a clear and actionable manner to both technical and non-technical stakeholders.

Minimum Qualifications:

• 6+ years of experience in product analytics, business intelligence, or data analysis, preferably in fintech, SaaS, digital platforms, or loyalty programs.
• Strong proficiency in SQL and Python/R for data querying, manipulation, and automation.
• Experience with A/B testing, cohort analysis, churn analysis, and predictive modeling.
• Expertise in data visualization tools (Tableau, Looker, Power BI, or similar).
• Familiarity with product analytics tools such as Google Analytics, Mixpanel, Amplitude, or Segment.
• Strong understanding of customer lifetime value (CLV), retention analysis, and user segmentation.

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