VP Data Analytics

4 days ago

Hyderabad, Telangana, India Talentiser Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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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