Archived listing. The details below describe a past opening.
We are looking for a Power BI Data Programmer Analyst to join a data-focused team in Tampa, Florida. In this role, you will transform complex data into clear reporting, actionable analysis, and predictive insights that support smarter business decisions. The position combines hands-on dashboard development, statistical analysis, and model refinement to improve reporting accuracy and portfolio performance.
Responsibilities:
- Build and deliver Microsoft Power BI solutions that support reporting needs across multiple business areas.
- Develop, maintain, and optimize reporting environments and data connections for both local and cloud-based platforms.
- Write and refine advanced queries, functions, and data transformation logic to support analysis and reporting.
- Perform exploratory analysis and statistical modeling to identify trends, patterns, and opportunities within large datasets.
- Create effective visual dashboards and reports that clearly communicate findings to business stakeholders.
- Enhance existing scoring methodologies and develop predictive models that improve account classification and payment behavior forecasting.
- Produce pricing and portfolio analysis models, including liquidation curves, to strengthen purchasing strategy and decision-making.
- Monitor data quality, troubleshoot reporting issues, and maintain documentation to support reliable ongoing operations.
- Partner with IT and cross-functional teams to design, test, and implement analytics tools and scalable data solutions.
- Experience building reports and dashboards in Power BI for business users and decision-makers.
- Strong knowledge of T-SQL, query development, and data transformation techniques.
- Hands-on ability to analyze structured and unstructured data to uncover meaningful patterns and insights.
- Understanding of statistics, probability, and modeling methods used in analytical problem-solving.
- Familiarity with machine learning concepts or prior experience contributing to machine learning projects.
- Proficiency with Microsoft Excel, including functions such as VLOOKUP, Pivot Tables, and Power Query.
- Strong attention to detail with the ability to manage work independently and maintain data accuracy.
- Clear written and verbal communication skills, including the ability to present analytical findings in a business-friendly format.