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Product Analyst – Gurgaon (Onsite) | Orbit Global HR Consultants LLP

Home » Careers » Product Analyst – Gurgaon (Onsite) | Orbit Global HR Consultants LLP

Role: Product Analyst
Industry: Travel & Tourism / Consumer Tech
Function: Product Management
Location: Sector 67, Gurgaon (Onsite)
Salary: ₹15–18 LPA
Experience: 1–2 Years
Education: Graduation (IIT, NIT, NSUT, DTU Mandatory)
Working Days: 6


About the Opportunity

Orbit Global HR Consultants LLP is hiring a highly skilled Product Analyst for a fast-growing tech-driven travel platform. This role requires a strong analytical mindset, hands-on technical expertise, and the ability to translate raw data into product improvements, growth opportunities, and actionable insights.

The ideal candidate is a top-tier engineering graduate with product analytics experience, strong capabilities in SQL, Python, A/B testing, dashboards, and product metrics.


🟦 Key Responsibilities

1. Product Analytics & Insights

  • Analyze user behavior, product funnels, cohorts, and retention metrics

  • Generate insights to support product improvements and new feature development

  • Conduct deep-dive analysis to identify opportunities, gaps, and user experience issues

2. Experimentation & Measurement

  • Plan and evaluate experiments (A/B tests, funnels, cohorts)

  • Monitor post-launch feature adoption, engagement, retention, and ROI

  • Provide data-driven recommendations to Product, Business, and Engineering teams

3. Dashboarding & Reporting

  • Build dashboards and reports using SQL, Excel, and visualization tools

  • Track daily product and performance metrics for decision-making

  • Present insights and visualizations that simplify complex data

4. Cross-Functional Collaboration

  • Work closely with Product Managers, Engineering, Business, and Operations

  • Support roadmap decisions with data-backed analysis

  • Assist with competitive benchmarking and market research

5. Product Lifecycle Involvement

  • Provide data inputs during ideation, development, testing, and optimization

  • Support demand-side projects and operations with analytical insights


🟩 Required Skills

  • Strong analytical & quantitative skills

  • SQL (mandatory)

  • Python for data analysis (mandatory)

  • Ability to work with large datasets

  • Data visualization tools: Tableau, Power BI, Looker, Mixpanel, GA, etc.

  • Knowledge of product metrics: funnels, retention, cohorts, experiments

  • Hands-on experience with Jira

  • Excellent communication & storytelling skills

  • Strong understanding of product and user behavior


🔒 Mandatory Screening Criteria

✔ Graduate from IIT / NIT / NSUT / DTU
1–2 years of Product Analyst experience
✔ Strong hands-on experience in SQL + Python + Product Metrics
✔ Must have worked on A/B testing, cohorts, funnels, retention
✔ Experience in data visualization tools
✔ Experience working with product, engineering, business & ops teams


🎓 Qualifications

  • Bachelor’s degree in Engineering, Statistics, Economics, Mathematics, Data Science, or related fields

  • Prior experience in product analytics, business analysis, consulting, or growth teams

  • Optional but preferred: Knowledge of R, Confluence, consumer tech, mobility, travel domain

Get Direction

Technical Skills

  • Proficiency in SQL with ability to work on complex queries and large datasets
  • Strong hands-on knowledge of Python for product and data analysis
  • Experience with data visualization tools (Power BI, Tableau, Looker, Mixpanel, Google Analytics)
  • Expertise in product analytics techniques: funnels, cohorts, retention, segmentation
  • Experience working with Jira and product documentation tools
  • Advanced Excel/Google Sheets skills for dashboards and reporting

Bachelor's Degree

  • Mandatory: Graduation from IIT, NIT, NSUT, or DTU
  • Preferred fields: Engineering, Mathematics, Statistics, Economics, Data Science, or related disciplines
  • Strong foundation in analytical and quantitative subjects

Master's Degree

  • Master’s degree in Analytics, Data Science, Engineering, or Business is a plus
  • Not mandatory but beneficial for candidates with advanced data analysis interests

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