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Job Description & How to Apply Below
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 / One Stream / 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 !!
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