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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Financial and Business Intelligence Analyst - **Company:** Express, LLC - **Location:** Hatboro, PA, United States - **Experience:** Experienced - **Salary:** $85,000 - $95,000 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Business Analytics Applications, Data Analysis, Analysis of Variance (ANOVA), Data Retrieval, Database Queries, Python (Programming Language), Machine Learning, Operational Data Store, Power BI, Azure Machine Learning, Azure Data Lake, SQL Databases, SQL Server Reporting Services, Tableau (Software), Azure Data Factory, DataRobot, Data Analytics, Data Management, Tools for Reporting, Data Pipelines - **Published:** October 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3aa41739bc9c83d6 ## About the Role The ideal candidate brings a strong foundation in financial analysis, practical experience working with data from multiple sources, and the technical ability to develop and improve reporting solutions. They are naturally curious, detail-oriented, and comfortable working through complex data to uncover meaningful business insights., * Bachelor's degree in Finance, Accounting, Economics, Business, Mathematics, Data Analytics, or a related field. * 2+ years of experience in financial analysis, business intelligence, or a similar analytical role combining financial and operational data. * Strong understanding of financial analysis, including budgeting, forecasting, variance analysis, financial reporting, and evaluating business performance. * Hands-on experience using Power BI, Tableau, or a comparable business intelligence platform to develop, maintain, and enhance reports and dashboards. * Practical SQL proficiency, including experience writing queries, joining tables, extracting data, and analyzing information from multiple data sources. * Advanced Excel skills, including experience building financial or analytical models. * Demonstrated ability to investigate complex data, identify trends and discrepancies, and translate findings into meaningful business insights. * Strong communication skills with the ability to explain analytical findings to both technical and non-technical stakeholders., * Working knowledge of Python or R for data analysis. * Experience with Azure Data Factory, Azure Data Lake, or similar data platforms. * Exposure to machine learning, artificial intelligence, or advanced analytics tools such as Azure Machine Learning or DataRobot. * Experience troubleshooting data-quality issues or working with technical teams to resolve reporting and data-pipeline problems. ## Description The Financial & Business Intelligence Analyst combines financial planning and analysis with hands-on business intelligence and reporting to support data-driven business decisions. This role is responsible for analyzing financial performance, supporting budgeting and forecasting, and developing reporting solutions that provide meaningful insights into business operations. Working closely with Finance, Business Intelligence, IT, and Operations, the analyst will use tools such as Power BI, SQL, and Excel to bring together financial and operational data, investigate discrepancies, and identify the underlying drivers of business performance., * Support annual budgeting, monthly and quarterly forecasting, and financial planning processes by gathering business inputs, developing financial models, and analyzing performance. * Prepare recurring financial and management reporting, including monthly results, budget-to-actual comparisons, forecasts, and key performance indicators. * Analyze financial results against budgets, forecasts, and prior periods to identify significant variances and understand the underlying business drivers. * Evaluate how operational activities, including rental utilization, mileage, and asset performance, impact revenue, expenses, and profitability. * Partner with Finance and operational leaders to understand business performance, evaluate financial trends, and incorporate business assumptions into forecasts and projections. * Develop financial models and ad hoc analyses to support business planning, strategic initiatives, and management decisions. * Support month-end financial reporting, including validating data accuracy and reconciling reporting outputs to financial source systems. * Identify opportunities to improve and automate budgeting, forecasting, and financial reporting processes., * Develop, maintain, and enhance dashboards and reports using Power BI, SSRS, and other reporting tools to support financial and operational analysis. * Write and modify SQL queries to extract, combine, and analyze data from multiple systems and sources. * Build reporting solutions that integrate financial and operational data, ensuring information is accurate, consistent, and meaningful. * Investigate data discrepancies, identify potential errors or inconsistencies, and validate information against underlying source systems. * Partner with Business Intelligence and IT teams to troubleshoot reporting issues, resolve data-quality concerns, and improve the reliability of reporting outputs. * Work with business stakeholders to understand reporting requirements, establish consistent metrics, and translate business needs into effective reporting solutions. * Evaluate existing reports and dashboards to eliminate redundancy, improve consistency, and increase reporting efficiency. * Automate manual reporting processes, particularly those currently maintained in Excel, to improve accuracy and reduce manual effort. * Document reporting logic, data definitions, and processes to support accurate, consistent, and reliable reporting. Business Partnership * Collaborate with Finance, Accounting, Business Intelligence, IT, Sales, Operations, and other business functions to support reporting and analytical needs. * Translate complex financial and operational data into clear, actionable insights for both technical and non-technical stakeholders. * Independently investigate business questions, troubleshoot discrepancies, and identify the root causes of reporting or performance issues. * Balance recurring reporting responsibilities with new analytical requests and evolving business priorities. * Identify opportunities to improve reporting accuracy, data quality, processes, and overall analytical capabilities.