- Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.

- Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.

- Performing competitive benchmarking and industry research to support product strategy and prioritization.

- Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.

- Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.

- Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).

- Creating reports, visualizations, and presentations that simplify complex data for stakeholders and leadership.

- Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.

What we are looking for :

- Bachelors degree in engineering, statistics, business, economics, mathematics, data science, or a related field.

- Strong analytical, quantitative, and problem-solving skills.

- Proficiency in SQL and ability to work with large datasets.

- Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).

- Excellent communication skills able to turn data into clear narratives and actionable recommendations.

- Ability to work collaboratively in cross-functional teams.

- Passion for product, user behavior, and data-driven decision-making

- Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.

- Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).

- Understanding of product management concepts and tools (Jira, Confluence, etc.).

- Knowledge of Python or R for data analysis (optional but beneficial).

- Exposure to consumer tech, mobility, travel, or marketplaces.