Website:
theglove.co.in
Job details:
Job Description – Advanced Analytics Manager (Finance Analytics Hands-On)
📍 Location: Hyderabad
💼 Experience: 7+ 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 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 uma.jangra@glovetalent.com !!
Click on Apply to know more.