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Data Analytics
PythonMANDATORY CRITERIA:
- 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.
- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.
OVERVIEW:
As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.
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.
Data AnalyticsPythonMANDATORY CRITERIA:
- 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.
- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.
OVERVIEW:
As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.
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.
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