Head of Analytics

3 weeks ago

New Delhi, India Talentiser Full time

The VP – Data Analytics will be responsible for building a unified view of business performance across all departments, creating compelling data stories, and enabling leadership to make better, faster, and more informed decisions.Key Responsibilities:-Analytics & Reporting● Own the company-wide analytics framework, ensuring visibility into KPIs across departments (Sales, Marketing, Finance, HR, Product, Operations).● Design, implement, and maintain dashboards and scorecards that clearly show where each department stands against goals and benchmarks.● Ensure reporting consistency, accuracy, and timeliness for leadership reviews.Storytelling & Insights:● Translate data into clear, concise, and actionable insights for leadership.● Build narratives that highlight trends, risks, and opportunities.● Provide forward-looking analysis to help shape business strategies.Cross-Functional Engagement:-● Partner with business leaders to understand priorities and translate them into analytics needs.● Standardize KPIs and definitions across the organization for alignment.● Act as a trusted advisor to the C-suite, helping guide strategic and operational decisions.Team Leadership:-● Lead and mentor a team of analysts and BI professionals.● Drive adoption of modern BI and reporting tools (e.g., Power BI, Tableau, Qlik, etc.).● Build scalable processes and governance for enterprise reporting.Qualifications & Experience:-● 15+ years of experience in business analytics, reporting, or business intelligence, with at least 5+ years in a senior leadership role.● Proven track record of building enterprise dashboards, performance reporting systems, and executive-level presentations.● Strong expertise in data visualization tools and KPI frameworks.● Excellent communication and storytelling skills — ability to simplify complex data into executive-ready insights.● Experience collaborating with senior stakeholders and influencing cross-functional decisions.● Solid understanding of business processes across multiple functions (sales, finance, operations, etc.).

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