The Financial Data Analyst analyzes financial and sales data to improve forecasting, budgeting, and performance, collaborating with various teams.
The Financial Data Analyst will be responsible for collecting, analyzing, and interpreting financial and sales data to provide actionable insights. This role works closely with finance, operations, and leadership to improve forecasting, budgeting, and overall financial performance.
This is an India-based full-time remote position. The work hours are Monday- Friday, 6:00p - 3:00a - India Standard Time.
Key Responsibilities
This is an India-based full-time remote position. The work hours are Monday- Friday, 6:00p - 3:00a - India Standard Time.
Key Responsibilities
- Analyze financial data, trends, and performance metrics
- Analyze sales data including customer revenue, gross profit (GP), margins, and customer-level performance
- Build and maintain financial and sales performance models and forecasts
- Develop customer profitability analysis and identify high/low performing accounts
- Prepare reports, dashboards, and presentations for stakeholders
- Identify opportunities for cost savings, pricing optimization, and revenue growth
- Support budgeting, forecasting, and financial planning processes
- Ensure data accuracy and integrity across financial and sales systems
- Collaborate with sales, finance, and operations teams to support business initiatives
- Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, or related field
- 2+ years of experience in financial analysis, FP&A, or sales/data analytics
- Strong proficiency in Excel and financial modeling
- Experience analyzing sales metrics such as revenue, margins, and customer profitability
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
- Strong analytical thinking and problem-solving skills
- Excellent English communication and presentation abilities
- Knowledge of ERP or CRM systems
- Experience with pricing analysis or sales performance analytics
- Advanced statistical or forecasting techniques
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