Design, build, and maintain advanced Power BI dashboards
Write complex SQL queries and utilize Databricks for data cleaning and transformation
Design, build, and maintain curated data products
Develop, test, and deploy predictive models
Partner with internal teams to gather requirements and translate queries into visual data stories
Clearly communicate technical analysis and results to stakeholders
Automate data refresh schedules and reporting workflows
Ensure internal data handling complies with security and privacy standards

Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related quantitative field
Advanced proficiency in SQL (window functions, CTEs, stored procedures)
Hands-on experience with Databricks for data engineering, modeling, and analysis
Expert-level skills in Power BI, including DAX, Power Query (M), and managing workspaces/gateways
Strong ability to explain technical data insights to non-technical accounting and finance professionals
Preferred: Knowledge of Python for statistical analysis or scripting outside of Databricks; Familiarity with Azure cloud services (Azure Data Factory, Azure Data Lake); Experience with predictive modeling or machine learning concepts.

Data Scientist

Key skills