Head Data Analytics

Location : Hyderabad

Experience : 10- 15 Years

Industry Preference : Healthcare / Hospitals / Healthcare Services

Role Overview :

We are seeking a highly accomplished Head Data Analytics & Business Intelligence to lead enterprise-wide analytics, management reporting, and business intelligence initiatives.

This role requires a strategic leader who can transform data into actionable insights, drive operational and financial excellence, and build a scalable data ecosystem that enables informed decision-making across the organization.

The incumbent will be responsible for owning the entire analytics lifecyclefrom data governance, reporting automation, and advanced analytics to profitability analysis, KPI management, and process optimization.

The role demands strong business acumen, leadership capabilities, and deep expertise in data analytics technologies and visualization platforms.

Key Responsibilities :

1. Enterprise Data Strategy & Analytics Leadership :

- Define and execute the organization's data analytics and business intelligence roadmap aligned with strategic business objectives.

- Establish enterprise data governance frameworks, ensuring data quality, integrity, consistency, and compliance across all business functions.

- Lead the development of scalable reporting and analytics solutions that provide actionable insights to leadership teams.

- Build and mentor high-performing analytics teams while fostering a data-driven decision-making culture.

- Drive adoption of self-service analytics and democratization of business intelligence across departments.

2. MIS Reporting & Business Intelligence :

- Own the preparation and delivery of executive dashboards and daily, weekly, monthly, and quarterly MIS reports.

- Design and implement standardized reporting frameworks, KPIs, and performance scorecards.

- Develop automated reporting solutions to eliminate manual processes and improve reporting efficiency.

- Act as the central owner of reporting governance, data definitions, and metric standardization.

- Ensure timely, accurate, and reliable reporting for business, finance, operations, and executive management.

3. Technology Stack :

- Power BI, Tableau, Qlik Sense

- Microsoft Excel (Advanced Analytics, Power Query, Power Pivot)

- SQL Server Reporting Services (SSRS)

- Microsoft Fabric and Power Platform

4. Advanced Data Analytics & Decision Support :

- Analyze large and complex datasets to identify business trends, opportunities, risks, and performance gaps.

- Lead predictive and diagnostic analytics initiatives to support strategic business decisions.

- Conduct root cause analysis and recommend data-backed interventions to improve business performance.

- Build analytical models for forecasting, demand planning, resource utilization, and operational efficiency.

- Develop business cases and scenario analyses for strategic initiatives and investments.

5. Technical Skills :

- SQL, T-SQL, PL/SQL

- Python (Pandas, NumPy, Scikit-learn)

- R Programming (Preferred)

- Statistical Analysis and Predictive Modeling

- Data Mining and Machine Learning fundamentals

6. Financial Analytics, Costing & Profitability Management :

- Lead detailed cost and profitability analysis at unit, department, service-line, and SKU levels.

- Develop contribution margin models and profitability frameworks to support business planning.

- Monitor cost drivers, revenue trends, and operational expenditure metrics.

- Drive identification and execution of cost optimization initiatives across functions.

- Support annual budgeting, forecasting, financial planning, and variance analysis processes.

- Present actionable recommendations to leadership for improving margins and operational efficiency.

7. Key Metrics :

- Unit Economics

- EBITDA Improvement

- Contribution Margins

- Cost-to-Serve Analysis

- Budget vs Actual Performance

- ROI and Productivity Metrics

8. Data Engineering & Automation :

- Collaborate with technology teams to build scalable data pipelines and data warehouse solutions.

- Integrate data from ERP, HIS, CRM, Finance, and operational systems into centralized reporting environments.

- Automate data extraction, transformation, and reporting workflows.

- Design robust ETL processes and ensure data reliability and governance.

9. Technology Stack :

- SQL Server, PostgreSQL, MySQL

- Azure Data Factory, Azure Synapse Analytics

- ETL Tools and Data Integration Platforms

- APIs and Data Connectors

- Data Warehousing and Data Lake concepts

10. Process Excellence & Performance Management :

- Evaluate business processes and identify opportunities for automation and operational improvement.

- Define enterprise KPIs and implement continuous performance monitoring frameworks.

- Drive process improvement initiatives using data-driven methodologies.

- Measure and track the impact of process interventions and cost-saving initiatives.

- Partner with business leaders to institutionalize performance management practices.

11. Preferred Frameworks :

- Lean Six Sigma

- Continuous Improvement Methodologies

- Process Re-engineering

- KPI Management Frameworks

- Balanced Scorecard

12. Dashboarding & Data Visualization :

- Design and implement executive dashboards that provide real-time visibility into business performance.

- Develop interactive dashboards and scorecards with drill-down and self-service capabilities.

- Simplify complex datasets into meaningful visual narratives for senior leadership.

- Ensure dashboard governance, data model optimization, and scalability.

13. Visualization Technologies :

- Power BI (DAX, Power Query, Data Modeling, Row-Level Security)

- Tableau

- Qlik Sense

- Advanced Data Storytelling and Visualization Techniques

14. Stakeholder Management & Executive Communication :

- Partner closely with CXOs, Finance, Operations, Clinical Leadership, Supply Chain, and Business Heads to support strategic decision-making.

- Present analytical findings, business insights, and strategic recommendations to executive leadership.

- Drive governance meetings and track execution of key business action items.

- Translate complex analytical outputs into business language and measurable outcomes.

- Serve as a trusted advisor to leadership on data strategy, performance management, and profitability improvement initiatives.

Required Qualifications :

- Postgraduate degree in Business Analytics, Statistics, Finance, Economics, Data Science, Computer Applications, Engineering, or related discipline.

- 10- 15 years of progressive experience in Business Intelligence, Data Analytics, MIS, Financial Analytics, and Reporting leadership roles.

- Prior experience within Healthcare, Hospitals, Healthcare Services, or large service organizations preferred.

- Proven track record of leading enterprise analytics initiatives and driving measurable business outcomes.

Core Technical Competencies :

- Business Intelligence & Data Visualization

- Advanced SQL and Database Management

- Power BI, Tableau, Qlik Sense

- Python for Analytics and Automation

- Data Warehousing and ETL Design

- Financial Modeling and Profitability Analytics

- Statistical Analysis and Forecasting

- KPI Framework Design and Performance Management

- Excel Advanced Analytics and Automation

- Data Governance and Master Data Management

Leadership Competencies :

- Strategic Thinking and Business Acumen

- Data-Driven Decision Making

- Executive Stakeholder Management

- Commercial and Financial Orientation

- Problem Solving and Structured Thinking

- Change Leadership and Continuous Improvement

- Team Leadership and Capability Building

- High Ownership, Accountability, and Result Orientation

- Ability to influence cross-functional stakeholders and drive enterprise transformation initiatives