Senior BI Developer (Power Platform) - Primoris Energy Services

Primoris Usa•Spring, TX

19h

About The Position

This strategic, cross-functional role provides end-to-end ownership of data modeling, reporting, app development, automation, and AI initiatives. The position drives digital transformation and operational efficiency, leading key initiatives and setting direction for the team.

Requirements

Education: Bachelor’s degree in Statistics, Data Analytics, Computer Science, Business, or a related field (or equivalent experience).
Experience: Prior experience with Power BI development, including report and dashboard creation. Hands-on experience in data analysis with a proven track record of delivering business insights.
Technical Skills: Proficiency in SQL for database querying; Programming expertise in Python or R; Experience with Tableau or Power BI for reporting and dashboard creation; Advanced Excel skills for data analysis and reporting. Proficiency in Power Query.
Analytical Skills: Solid understanding of statistical analysis and data modeling, with the ability to identify trends and translate complex findings into actionable insights.
Problem-Solving: Strong analytical thinking, attention to detail, and troubleshooting skills to ensure data integrity.
Communication: Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders and produce well-structured reports.

Nice To Haves

Higher Education: Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
Advanced Analytics: Experience with predictive modeling, basic machine learning, and advanced statistical software or libraries.
Big Data & Cloud: Exposure to big data technologies (Spark, Hadoop) or cloud platforms (AWS, Azure, Google Cloud) for large-scale data processing.
Industry Knowledge: Experience in relevant industries (energy, finance, healthcare, etc.) to provide context for analyses.
Certifications: Professional certifications such as Certified Analytics Professional (CAP) or Microsoft Certified: Data Analyst Associate are preferred, demonstrating validated expertise and commitment to the field.

Responsibilities

Data Analysis & Insights: Lead analytics projects to extract, synthesize, and interpret large datasets, delivering actionable insights for business decision-making.
Utilize Power Query for the crucial data transformation and cleaning phase of turning raw data into meaningful, interactive business insights.
Data Quality & Management: Maintain and monitor databases, enforce data quality standards, and troubleshoot integrity issues to ensure reliable data.
Reporting & Visualization: Use SQL and Python/R to generate reports, and leverage visualization tools (Tableau, Power BI) to create dashboards that communicate trends and patterns clearly.
Automation & Tools: Deploy automation scripts and tools to streamline data collection and analysis, improving efficiency.
Stakeholder Collaboration: Work closely with business units, IT, and management to understand data needs and present findings in a clear, actionable manner.
Continuous Improvement: Stay current with best practices in analytics, recommending and implementing process improvements and new techniques to enhance data-driven decision-making.