Head of Data Analytics

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟱𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟱-𝟱𝟱 𝗟𝗣𝗔)

Experience: 14\+ yrs

Location: Mumbai, Maharashtra, India

Job Type: Full-time

We are looking for an experienced and strategic

Head of Data Analytics

to lead the organization's data and analytics agenda, with a strong focus on

financial data, business intelligence, financial modeling, and finance data products

.

The role will be responsible for transforming complex financial and business data into actionable insights that support strategic decision-making. The ideal candidate will combine strong analytical and technical expertise with commercial and financial acumen, while building scalable analytics capabilities and high-performing data teams.

Requirements

Key Responsibilities

• Define and execute the organization's data and analytics strategy in alignment with business and financial objectives
• Lead the design and development of Power BI dashboards, reporting solutions, and executive-level analytics
• Build and enhance financial models supporting forecasting, budgeting, scenario planning, profitability, and business performance analysis
• Develop scalable finance data products that provide reliable and actionable insights to Finance and business stakeholders
• Partner with Finance leadership to translate complex financial requirements into effective data and analytics solutions
• Establish data governance, quality, reporting standards, and analytics best practices across the organization
• Develop analytical frameworks to track revenue, costs, margins, profitability, cash flow, and other key financial metrics
• Integrate data from multiple financial and operational systems to create consistent and trusted reporting
• Lead the automation and optimization of manual reporting and financial analytics processes
• Ensure Power BI data models, dashboards, semantic models, and reporting environments are scalable and performant
• Work with technology and data engineering teams to improve data pipelines, architecture, accessibility, and reliability
• Provide strategic insights and recommendations to senior leadership based on financial and operational data
• Establish analytics roadmaps, prioritize data initiatives, and manage delivery against business priorities
• Lead, mentor, and develop high-performing data and analytics professionals
• Evaluate emerging analytics, AI, and automation capabilities that can enhance financial decision-making

What Makes You a Great Fit

• 14\+ years of experience in data analytics, business intelligence, financial analytics, or related fields, with significant leadership experience
• Strong expertise in Power BI, including dashboard development, data modeling, DAX, reporting, and analytics architecture
• Proven experience developing financial models for forecasting, budgeting, scenario analysis, profitability, and strategic planning
• Strong understanding of finance data products and the ability to convert financial requirements into scalable analytical solutions
• Excellent understanding of financial metrics, accounting concepts, P\&L, balance sheet, cash flow, budgeting, and management reporting
• Experience working closely with CFOs, Finance leaders, business heads, and senior executives
• Strong knowledge of data architecture, data integration, governance, data quality, and analytics platforms
• Demonstrated experience leading data and analytics teams and managing complex, cross-functional initiatives
• Strong business acumen with the ability to connect data insights to measurable commercial and financial outcomes
• Excellent stakeholder management, communication, presentation, and influencing skills
• Strong analytical and problem-solving abilities with exceptional attention to detail
• Experience automating reporting and improving analytics processes through technology and modern data tools
• Ability to balance strategic leadership with hands-on understanding of analytics and financial data solutions
• A Bachelor's or Master's degree in Finance, Data Science, Computer Science, Engineering, Business, or a related discipline is preferred