What are the responsibilities and job description for the Power BI Developer position at Riley Exploration Permian, Inc.?
Position Summary
The Power BI Developer serves as a critical bridge between raw data and business strategy, partnering closely with Data Engineering to transform and normalize disparate data sources into a cohesive, scalable analytics platform. The ideal candidate brings a strong combination of SQL and DAX expertise alongside a practical understanding of accounting fundamentals, enabling the delivery of high‑quality reporting that supports recurring business reviews, ad‑hoc analysis, and ongoing data quality assurance.
This role will be a key contributor to an organization‑wide effort to scale AI‑enabled datasets and promote self‑service analytics across the business. The ideal candidate will be genuinely excited by the opportunity to thoughtfully introduce and expand AI‑driven functionality within a widely used and business‑critical Power BI environment, enhancing how stakeholders explore, understand, and trust data at scale.
Important Note On AI Usage
While AI is commonly used across our Data Team as an accelerant in day‑to‑day work, candidates must demonstrate a strong command of foundational concepts and the ability to perform core tasks independently, without reliance on AI assistance. This expectation will be directly assessed during the interview process.
Responsibilities
The Power BI Developer serves as a critical bridge between raw data and business strategy, partnering closely with Data Engineering to transform and normalize disparate data sources into a cohesive, scalable analytics platform. The ideal candidate brings a strong combination of SQL and DAX expertise alongside a practical understanding of accounting fundamentals, enabling the delivery of high‑quality reporting that supports recurring business reviews, ad‑hoc analysis, and ongoing data quality assurance.
This role will be a key contributor to an organization‑wide effort to scale AI‑enabled datasets and promote self‑service analytics across the business. The ideal candidate will be genuinely excited by the opportunity to thoughtfully introduce and expand AI‑driven functionality within a widely used and business‑critical Power BI environment, enhancing how stakeholders explore, understand, and trust data at scale.
Important Note On AI Usage
While AI is commonly used across our Data Team as an accelerant in day‑to‑day work, candidates must demonstrate a strong command of foundational concepts and the ability to perform core tasks independently, without reliance on AI assistance. This expectation will be directly assessed during the interview process.
Responsibilities
- Design, develop, and maintain high‑performance Power BI reports, including both interactive dashboards and paginated reports.
- Champion the adoption of AI‑enabled semantic models to support advanced capabilities such as natural language Q&A, automated insights, and scalable self‑service analytics.
- Support the company’s ERP transition through the development of specialized reports and purpose‑built datasets.
- Extract, transform, and normalize data from multiple source systems using SQL and Power Query.
- Develop complex DAX measures to support financial reporting requirements, including variance analysis, trend analysis, forecasting, and accounting‑specific KPIs.
- Partner closely with Data Engineering to optimize data models and ensure seamless integration within the Microsoft Power BI, Fabric, and SQL Server ecosystem.
- Build and monitor data quality control (QC) reporting to proactively identify anomalies and ensure the accuracy and reliability of financial and operational data.
- Translate complex, cross‑functional business requirements into clear technical specifications and actionable visual insights.
- Other duties as requested or required.