Head of Analytics

10 years

75 - 80 Lacs

Posted:1 week ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Position: Head of Analytics

Location: Delhi

Working Days: 5 days

Experience Required: 10+ years

Client: SaaS platform for businesses

Key Responsibilities

  • Own the company’s analytics vision & roadmap, aligned with business goals and strategy
  • Translate high-level business questions into structured analytical problems and lead teams to solve them
  • Drive reporting, forecasting, and experimentation frameworks to support growth, product performance, and operational excellence
  • Partner with leadership to define and monitor core KPIs and guide strategic planning
  • Build and mentor a team of analysts and data storytellers; foster a culture of curiosity, clarity, and impact
  • Act as a trusted advisor to cross-functional stakeholders – including Product, Marketing, Finance, and the Executive team
  • Champion data literacy across the organization and influence how data is used to make decisions
  • Work with data engineering (or external vendors) to ensure robust infrastructure and reporting pipelines

What We’re Looking For

  • 10+ years of experience in data/analytics roles, with at least 4 years leading analytics functions
  • Proven experience in a business-focused analytics leadership role, ideally in product-led or customer-centric companies
  • Deep understanding of statistical analysis, A/B testing, cohort analysis, forecasting, segmentation, and other common analytical methods
  • Experience with tools such as SQL, Python/R, Tableau/Power BI, Excel, and working knowledge of cloud data warehouses (Snowflake, BigQuery, etc.)
  • Excellent communication skills – ability to influence non-technical audiences and simplify complexity
  • Strong stakeholder management across business functions and senior leadership

Bonus Points For

  • Experience building analytics teams from scratch or during rapid scale
  • Background in eCommerce, SaaS, Fintech, or Consumer Tech environments
  • Exposure to customer journey analytics, LTV/CAC modelling, and marketing attribution

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