Financial Analyst

Position Summary:

We are seeking a highly analytical and technically skilled Business Analyst / Databricks Developer to support finance, operations, and executive decision-making through data-driven solutions. This role blends business analysis, financial modeling, data engineering, and dashboard development. The ideal candidate will be strong in Excel, experienced with Databricks, SQL, Python/Pandas, and capable of building impactful Power BI dashboards that turn complex data into actionable insights.

Key Responsibilities:

Business Analysis & Finance

• 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.

Data Engineering / Databricks

• 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.

Reporting & Dashboard Development

• Design 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.

Technical / Analytics

• 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.

Qualifications:

• Bachelor’s degree in Finance, Accounting, Business, Data Analytics, Computer Science, or related field.

• 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 Qualifications:

• Experience with ERP systems such as SAP or Oracle ERP.

• Experience in utilities, manufacturing, banking, or large enterprise environments.

• Knowledge of Azure data ecosystem.