Advanced Analytics Manager (Finance Analytics)

Job Description – Advanced Analytics Manager (Finance Analytics Hands-On)

Location : Hyderabad

Experience : 12+ Years

About the Role

We are looking for an experienced Advanced Analytics Manager (Finance Analytics Hands-On) to join the Reporting, Analytics & Insights (RAI) COE within Global Finance.

This role is ideal for a techno-functional professional with strong expertise in Finance Analytics, Business Intelligence, and Data Engineering, combined with hands-on experience in Power BI, SQL, Snowflake, and financial planning processes such as FP&A, forecasting, and P&L analysis.

The candidate will work closely with Finance, Data Science, and Engineering teams to build scalable analytics solutions, automate reporting processes, and drive data-driven decision-making across the organization.

Key Responsibilities

Hands-On Analytics & Delivery (60–70%)

• Design, develop, and maintain Power BI dashboards and financial reports
• Build data models and create advanced DAX calculations
• Develop and optimize data pipelines using SQL, Snowflake, and data warehousing technologies
• Perform deep-dive financial analysis including:
• Revenue analysis
• Margin analysis
• Cost optimization
• Forecasting
• Variance analysis
• Build AI-driven analytics and predictive models for decision-making

Stakeholder & Business Partnering (20–30%)

• Collaborate with finance leaders and business stakeholders to translate requirements into analytics solutions
• Act as a bridge between finance and technology teams
• Drive ad-hoc analysis and scenario modeling for strategic initiatives
• Ensure KPI and reporting alignment across teams

Leadership & Governance (10–20%)

• Lead and mentor analysts and engineers while remaining hands-on technically
• Establish reporting standards, governance frameworks, and analytics best practices
• Drive automation, simplification, and continuous process improvements

Required Skills

Mandatory Skills

Strong hands-on experience with:

• Power BI
• Data Modeling
• DAX
• SQL
• Snowflake
• Data Warehousing

Strong understanding of:

• FP&A
• P&L
• Forecasting
• Financial Reporting
• Experience building end-to-end analytics solutions
• Strong stakeholder management and communication skills
• Experience working with Finance Analytics / BI / Data Engineering teams

Preferred Skills

• Power Apps / Power Automate
• Python / Spark / Machine Learning exposure
• SAP / OneStream / ERP systems
• Automation and Digital Transformation initiatives
• Advanced analytics and predictive modeling

Qualifications

• Bachelor’s degree in Finance, Engineering, or related field
• MBA in Finance preferred
• 8+ years of relevant experience in:
• Finance Analytics
• Business Intelligence
• Data Engineering

Additional Requirements

• Comfortable working with overlapping U.S. working hours (4–5 days/week)
• Strong organizational and multitasking abilities
• Ability to work in a global cross-functional environment

Interested candidates can share their resume at !!