Description :
- 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-makingPrior 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.(ref : hirist.tech)