Business Analyst ​/ Databricks Developer

Job Title:
Business Analyst / Databricks Developer (Finance & Analytics)
Location:
Akron, OH
Duration: 24 Hours

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 Pivot Tables, 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.

Success Profile:

The right candidate is someone who can move comfortably between a finance meeting, an executive dashboard review, and building a Databricks pipeline the same day. Strong business judgment plus technical execution is critical.