Financial Data Analyst

Kforce has a client in Tampa, FL that is seeking a Financial Data Analyst. Responsibilities:

• Analyze financial, operational, and sales datasets to identify trends, performance drivers, and improvement opportunities
• Conduct deep sales analytics including customer profitability, product mix, price/margin performance, and territory analysis
• Develop dashboards and reporting tools (Power BI, Tableau, or similar) to drive visibility into KPIs across revenue, margin, customer behavior, and sales execution
• Lead master data cleanup, standardization, and validation to support ERP implementation and data migration projects
• Partner with Sales, Finance, and Operations to evaluate pricing strategies, new product opportunities, promotions, and commercial initiatives
• Support budgeting and forecasting through data driven models, scenario analysis, and revenue/margin projections
• Perform monthly revenue and margin variance analysis and present insights to leadership
• Improve data processes by defining data standards, documenting workflows, and enforcing governance best practices
• Translate insights into recommendations that support financial and operational decision making
• Collaborate cross functionally to enhance data quality, strengthen controls, and optimize business processes
• Bachelor's degree in Finance, Accounting, Business Analytics, Data Science, or a related field
• 3-5 years of experience in financial analysis, FP&A, or financial data analytics with emphasis on sales analytics
• Advanced Excel skills including modeling, pivot tables, and Power Query
• Strong proficiency with SQL and relational databases related to financial and commercial datasets
• Experience with BI tools such as Power BI or Tableau
• Strong business acumen with ability to connect data insights to financial, operational, and commercial strategies
• Experience supporting ERP implementations, especially master data cleanup and migration readiness
• Ability to communicate complex insights to both technical and non-technical stakeholders
• Familiarity with Python or R for advanced analytics is a plus
• Experience documenting processes and developing training materials

• Experience with sales forecasting methodologies, predictive analytics, or revenue modeling
• CRM analytics experience (Salesforce preferred)
• Knowledge of ETL processes, data warehousing, or data governance
• Experience working with large datasets or big-data