DATA ANALYST

As a Data Analyst working on product initiatives, you will play a key role in helping the product team make data-driven decisions. You’ll work closely with Product Managers, Designers, and Engineers to analyze user behavior, evaluate product performance, and uncover insights that shape product strategy, roadmap, and user experience improvements.

Your goal is to turn data into actionable recommendations that enhance product growth, engagement, and retention.

Roles and Responsibilities:

• Partner with Product Managers, Business Heads, Designers, and Engineers to define and measure key success metrics (e.g., activation rate, retention, churn, conversion funnels).
• Analyze user behavior, feedback, and interaction data to identify opportunities, usability gaps, and areas for improvement.
• Design, execute, and interpret A/B experiments to measure the impact of new features or product changes.
• Build and maintain dashboards and reports that track feature-level KPIs and long-term trends.
• Take end-to-end ownership of data for assigned features or enhancements — from data tracking to deriving insights and outcomes.
• Conduct deep dives into specific product or feature questions
• Translate analytical insights into clear, actionable recommendations for product and business stakeholders.
• Support roadmap prioritization by providing data-backed inputs on feature performance, user needs, and impact potential.

Skills Required:

• 1- 2 years of experience in data or product analytics, preferably in a product-based company.
• Strong SQL skills — ability to query, transform, and validate large datasets.
• Proficiency with data visualization tools (e.g., Looker Studio, Tableau, Power BI dashboards).
• Experience with experimentation and A/B testing frameworks.
• Solid understanding of product metrics (DAU, MAU, retention, churn, funnel, activation, etc.).
• Excellent communication skills — ability to simplify complex data insights.

Preferred:

• Experience using product analytics tools like Amplitude, Mixpanel or GA4.
• Familiarity with Python for advanced analytics.
• Understanding of cohort analysis, user segmentation, and growth metrics.
• Exposure to SQL + dbt + BigQuery stack (a plus).

Languages Known:

• Need proficiency in English

Work Location:

• Hyderabad