Financial Data Scientist

Responsibilities Financial Analysis & Reporting

• Analyze and interpret financial reports, including forecasts, budgets, income statements, balance sheets, and cash flow documents.
• Support monthly and quarterly closing processes, variance analysis, and reconciliations.
• Partner with Finance and Operations teams to provide insights into service supply chain costs, risks, and profitability.
• Ensure compliance with corporate policies, SOX, and reporting standards.
• Support budgeting and forecasting cycles with both financial inputs and data-driven scenario modeling.
  

Data Science & Analytics

• Mine structured and unstructured data using SQL, Python, or R to extract insights.
• Develop predictive and prescriptive models to identify patterns, risks (e.g., E&O, inventory), and opportunities for optimization.
• Build dashboards, automation scripts, and reports to improve visibility into key metrics (operational KPIs, cost drivers, financial controls).
• Apply machine learning and statistical analysis to financial and operational datasets to support business decision-making.
• Collaborate with Finance, Supply Chain, and Compliance stakeholders to translate business problems into analytical solutions.
  

Business Partnering & Compliance

• Provide recommendations based on financial and analytical findings to key stakeholders.
• Support SOX and audit requirements through robust data analysis, documentation, and reporting.
• Maintain strong relationships with Finance, Operations, and cross-functional teams, ensuring alignment of analytics with business priorities.
  

Education & Experience

• Bachelor’s or master’s degree in finance, Accounting, Economics, Data Science, Statistics, Computer Science, or related field.
• 2–5 years of experience in financial analysis, FP&A, internal audit, or data science roles (preferably within supply chain or corporate finance).
• AI/ML with python and azure cloud.
• Strong understanding of P&L, Balance Sheet, and Cash Flow reporting.
• Understandings on finance concepts like budgeting, forecasting, balance sheets, cash flows
• Experience with SOX/internal controls or financial compliance preferred.
  

Knowledge & Skills

Finance & Compliance

• Financial Analysis & Modeling
• Variance Analysis & Forecasting
• P&L, Balance Sheet, Cash Flow interpretation
• SOX compliance and internal controls
• SAP or similar ERP systems
• Data Science & Analytics
• SQL, Python, or R (programming for data extraction and analysis)
• Data Visualization (Power BI, Tableau, or equivalent)
• Predictive Modeling, Machine Learning (regression, classification, time series)
• Statistics & Financial Modeling
• Automation and process improvement
  

Impact & Scope

• Impacts own work and acts as a team member by providing information, analysis, and recommendations in support of team efforts.
  

Complexity

• Learns to apply basic theories and concepts to work tasks.
  

Disclaimer