Business Analyst / Databricks Developer (Finance & Analytics)

Responsibilities

• Partner with finance, operations, and leadership teams to gather requirements and identify reporting needs.
• Build budgets, forecasts, variance analyses, and financial models.
• Analyze operational and financial performance trends to support strategic decisions.
• Develop KPIs and scorecards for executive leadership.
• Improve business processes through automation and data insights.
• Develop and maintain ETL/ELT pipelines using Databricks.
• Transform and cleanse large datasets for reporting and analytics use.
• Optimize data models and workflows for performance and scalability.
• Integrate multiple data sources including ERP, finance systems, and operational platforms.
• Create and maintain interactive dashboards in Microsoft Power BI.
• Create executive-level reporting packages with clear visual storytelling.
• Ensure data accuracy, consistency, and governance across reporting tools.
• Automate recurring reports and manual processes.
• Write complex queries in SQL to extract and analyze data.
• Use Microsoft Excel advanced functions including PivotTables, Power Query, formulas, VBA/macros (preferred).
• Use Python and pandas for data wrangling, automation, and advanced analytics.
• Support ad hoc analysis and data requests from leadership teams.

Requirements

• Bachelor’s degree in Finance, Accounting, Business, Data Analytics, Computer Science, or related field.
• Minimum 3 years of experience in business analysis, finance analytics, BI, or data engineering roles.
• Strong finance acumen with budgeting, forecasting, and variance analysis experience.
• Hands-on experience with Databricks, SQL, Power BI, and Excel.
• Proficiency in Python/Pandas.
• Strong communication skills with ability to present to business leaders and executives.
• Ability to translate business needs into technical solutions.

Preferred Skills

• Experience with ERP systems such as SAP or Oracle ERP.
• Experience in utilities, manufacturing, banking, or large enterprise environments.
• Knowledge of Azure data ecosystem.