Data Analytics Analyst 3Location: Birmingham, AL ( HYBRID) Contract - 3 YearsClient - Alabama PowerJob Summary We are seeking an experienced Data Analytics Analyst (Level 3) with 5–10 years of experience to support enterprise-wide decision-making in the utilities sector. This position is responsible for developing advanced analytics solutions, integrating data from multiple sources, and presenting actionable insights to business and engineering leaders. The ideal candidate has strong technical skills, a background in ETL, SQL, and visualization, and the ability to translate complex datasets into meaningful business recommendations.
Key Responsibilities
Data Analysis & Reporting:
Analyze complex operational and financial datasets to identify patterns, trends, and opportunities.
Develop dashboards, reports, and visualizations using Power BI and related tools.
Apply statistical and analytical techniques to provide actionable insights for stakeholders across utility operations, finance, and engineering.
Data Integration & ETLExtract, transform, and load (ETL) data from multiple sources, ensuring data integrity and accuracy.
Develop and optimize queries using SQL, Python, DAX, and Power Query.
Maintain and improve data pipelines to support ongoing business operations.
Business Support & Collaboration:
Partner with project managers, engineers, and finance teams to provide data-driven recommendations.
Support regulatory, financial, and operational reporting requirements.
Present findings clearly to both technical and non-technical stakeholders.
Innovation & Process Improvement:
Explore and implement automation and low/no-code solutions to improve reporting efficiency. Proactively identify opportunities for data-driven improvements in processes, systems, and performance tracking.
Qualifications
Education:
Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, Finance, or related field (required).
Experience:
5–10 years of hands-on experience in data analytics, ETL, and dashboard/report development. Strong experience with SQL, Python, DAX, Power Query, and Power BI.Experience with financial data analysis (preferred).Knowledge of utility operations, engineering, or energy-related datasets is a strong plus. Prior experience with Azure, Databricks, or big data technologies is advantageous.
