Business Data Analyst

Job Title:

Business Data Analyst

Upper Marlboro, MD (On-site)

Finance Operations & Analytics

Finance Operations & Analytics Manager

We are seeking a Business Data Analyst to join our Finance Operations & Analytics team in Upper Marlboro, MD. This role focuses on reporting automation, data visualization, and AI-driven insights to support data-informed decision-making in our finance and operations functions. The Analyst will develop and automate financial and operational reports, build interactive dashboards in Power BI and advanced Excel models, and leverage AI tools to uncover actionable insights.

The Analyst will support broader finance operations initiatives by providing analytical expertise and process improvements across the organization. The ideal candidate is a collaborative, detail-oriented professional with strong analytical capabilities, excellent communication skills, and a drive to continuously improve business processes through data and technology.

• Reporting Automation:
  Identify and implement opportunities to automate recurring financial and operational reporting processes, reducing manual work and improving efficiency. Develop scheduled automated workflows (e.g., using Power Query or scripting) for regular reports and ensure data refreshes are timely and accurate.
• Data Visualization & Dashboard Development:
  Design, develop, and maintain interactive dashboards and data visualizations using Microsoft Power BI and Excel to track key performance indicators (KPIs), financial metrics, and operational trends. Ensure reports and visuals communicate insights effectively.
• AI-Driven Insights & Advanced Analytics:
  Leverage AI and advanced analytics tools (such as machine learning models or predictive analytics software) to analyze large datasets and generate forward-looking insights (trend analysis, forecasts, anomaly detection) that inform strategic decisions. Stay current with emerging AI technologies and evaluate their potential to enhance reporting processes and business intelligence capabilities.
• Data Analysis & Insight Generation:
  Gather, analyze, and interpret financial and operational data from various sources to identify patterns, correlations, and opportunities for improvement. Provide actionable insights through data analysis and communicate findings to stakeholders, translating complex data into business recommendations.
• Collaboration & Stakeholder Engagement:
  Work closely with cross-functional teams—including finance, operations, IT, and key stakeholders—to understand reporting needs, define business requirements, and ensure solutions meet those needs. Partner with other Data Analysts on data collection, validation, and analysis efforts to support broad finance operations initiatives and organizational goals.
• Process Improvement:
  Analyze current finance operations processes (such as budgeting, forecasting, expense tracking, and financial reporting) to identify inefficiencies or bottlenecks. Recommend and help implement improvements or automation (potentially utilizing AI tools or macros) to enhance the accuracy, speed, and efficiency of financial operations and reporting.
• Report Documentation & Supporting Materials:
  Develop and maintain clear documentation for all reporting processes, data definitions, and dashboard usage guidelines to ensure knowledge transfer and continuity. Train team members and stakeholders on using new reports or analytical tools as needed.
• Compliance & Data Integrity:
  Ensure data accuracy, quality, and security in all reporting activities. Support data governance efforts by validating data against source systems and working with IT or data engineers to resolve data quality issues. Assist in internal or external audits by providing required data and documentation, ensuring that reports comply with company policies and financial controls.
• Continuous Learning:
  Monitor industry trends and best practices in financial analytics, business intelligence, and AI applications in finance. Proactively propose innovative solutions or tools (e.g., improved visualization techniques, new analytics platforms) that could…