Head - Data Analytics

16 hours ago

Gurgaon, Haryana, India Capri Global Capital (CGCL) Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Key Responsibilities

  • Strategy & Operating Model

  • Define and execute the enterprise analytics strategy and roadmap aligned to OKRs/KPIs across business units.

  • Establish the analytics operating model, delivery processes, and SLAs for self-serve BI and centralized analytics.

  • Champion data literacy and evidence-based decision-making across the organization.

  • Stakeholder Consulting & Business Impact

  • Act as the analytics partner to business leaders; translate ambiguous business problems into analytical formulations and measurable hypotheses.

  • Build executive-ready narratives: synthesize insights, trade-offs, and recommendations to influence strategic decisions.

  • Define and track value realization from analytics initiatives (revenue lift, cost savings, risk reduction, CX improvements).

  • Insight Products & BI

  • Own the design and governance of KPI frameworks, executive dashboards, and automated reporting across Product, Growth/Marketing, Sales, Operations, Risk, and Finance.

  • Drive standard definitions, metric catalogs, and data quality for trustworthy insights.

  • Prioritize and deliver a backlog of insight products that scale with the business.

  • Advanced Analytics & Experimentation

  • Lead development of statistical analysis, forecasting, segmentation, propensity and LTV models, and causal inference frameworks for growth and retention.

  • Institutionalize A/B testing and experimentation; ensure robust design, guardrails, and learnings at scale.

  • Partner with Data Science on ML use cases; ensure business adoption and monitoring of models.

  • Data Foundations & Governance (in partnership with Data Engineering)

  • Influence data architecture for analytics: semantic layers, marts, and data contracts for reliable consumption.

  • Drive data quality management, lineage visibility, and governance standards; ensure compliance with privacy and regulatory needs.

  • Team Leadership

  • Build and mentor a high-performing team of Analytics Managers, BI Developers, and Data Analysts.

  • Set clear goals, career paths, and upskilling plans; foster a culture of curiosity, rigor, and outcomes.
  • Manage vendor partnerships and external tooling where relevant.

Required Skills and Qualifications

  • 7 - 10 years of progressive experience in analytics, with at least 3 - 5 years in people management and leading multi-stakeholder analytics programs.
  • Demonstrated impact leading analytics in at least two of the following domains: Product Analytics, Growth/Marketing Analytics, Risk/Credit Analytics, Revenue/Commercial Analytics, Customer/Operations Analytics.
  • Proven track record of building executive dashboards, KPI frameworks, and running experimentation programs that drive measurable business outcomes.
  • Experience collaborating with data engineering and data science teams to deliver scalable insight products and ML-powered decisioning.
  • Bachelor's or Master's in a quantitative field (Engineering, Statistics, Mathematics, Economics, Computer Science) or equivalent experience.

Technical Skills:

  • Strong SQL and data modeling for analytics; comfort with large-scale datasets.
  • Proficiency in BI/visualization tools (e.g., Power BI, Tableau, Looker) and dashboard governance.
  • Statistical analysis and experimentation: hypothesis testing, causal inference basics, time-series

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