Job description
What you will do:-● 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 stakeholdersand leadership.● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.What we are looking for:-● Bachelor’s 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. .- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.- Candidate must have strong hands-on experience in Product + Data Analysis + Python.- Candidate should have Python skill on the scale of 3/5 at least.- Proficiency in SQL and ability to work with large datasets.- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).- Candidate must have experienece in Jira.
Key skills
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