Company Overview:
Our client is a powerful digital platform designed to elevate employee and client loyalty, well-being, and productivity by offering exclusive access to discounts, rewards, and e-gift cards from over 1,200 local and international merchants at more than 4,500 stores. They’re currently looking for a Senior Product Analyst to drive data-driven insights that improve product performance, customer retention, and overall business growth.
As a Senior Product Analyst, you'll be mainly responsible for developing and optimizing KPIs to measure product success. You'll analyze user behavior and feature adoption to generate insights that drive strategy. By building automated dashboards and collaborating with cross-functional teams, you'll ensure real-time visibility into product performance. You'll also work with data engineers to maintain accurate tracking and reporting. Ultimately, you'll translate complex data into clear, actionable insights for stakeholders.
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 deep analysis on 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.
Work 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 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.
All your information will be kept confidential according to EEO guidelines.