About the Role:

We are looking for a Product Analytics professional with 4 - 6 years of experience in analyzing product and customer data to generate actionable insights and support data-driven product decisions. The ideal candidate should have strong expertise in SQL, product analytics, experimentation, dashboards, and analytical problem-solving.

The role will work closely with Product, Engineering, Business, and Growth teams to understand user behavior, identify product opportunities, measure feature performance, and drive product improvements through data.

Key Responsibilities:

- Analyze product, customer, and user-behavior data to identify actionable insights.

- Partner with Product Managers and cross-functional teams to define analytical requirements and business problems.

- Define and track product KPIs, metrics, and success criteria.

- Build and maintain product performance dashboards and analytical reports.

- Analyze user journeys, funnels, conversion rates, retention, engagement, and feature adoption.

- Conduct cohort analysis to understand customer behavior and product performance.

- Identify opportunities to improve user experience, engagement, conversion, and retention.

- Design and analyze A/B tests and product experiments.

- Evaluate the impact of new features and product changes using quantitative analysis.

- Develop data-driven recommendations for product strategy and prioritization.

- Perform root-cause analysis on changes in key product metrics.

- Collaborate with Data Engineering teams to ensure data quality and availability.

- Establish and maintain reliable metric definitions and reporting frameworks.

- Communicate analytical findings and recommendations to senior stakeholders.

Required Skills:

- 4 - 6 years of experience in Product Analytics, Product Data Analytics, Business Analytics, or a similar analytical role.

- Strong hands-on experience with SQL.

- Strong understanding of product metrics and analytics methodologies.

- Experience with funnel analysis, cohort analysis, retention, engagement, and conversion metrics.

- Experience with A/B testing and experimentation.

- Strong analytical and problem-solving skills.

- Experience with data visualization and dashboarding tools such as Tableau, Power BI, Looker, or similar platforms.

- Good understanding of statistics and data interpretation.

- Ability to work with large datasets and derive meaningful insights.

- Strong proficiency in Excel/Google Sheets and analytical tools.

Good to Have:

- Experience with product analytics platforms such as Amplitude, Mixpanel, or similar tools.

- Exposure to Python or R for analytical tasks.

- Experience working with digital products, SaaS, consumer technology, fintech, or marketplace businesses.

- Knowledge of customer segmentation and behavioral analytics.

- Exposure to data warehouse concepts and cloud-based analytics environments.

Key Competencies:

- Strong business and product mindset.

- Excellent analytical and quantitative skills.

- Ability to convert complex data into clear business recommendations.

- Strong stakeholder-management and communication skills.

- Ability to work independently and manage multiple analytical initiatives.

- Strong attention to detail and data accuracy.