Data Analyst

About this role

Client: Utilities Company Position: Data Analyst Term: 6-month contract Compensation: Pay: USD 45/Hr - USD 47/Hr Location: 4 days a week on site 1 day remote - Tampa, FL Work Authorization: USC and GC perm. resident only accepting relocation from the southeast US. Education: Bachelor's degree in a technical or STEM discipline Preferred Certification: Relevant certifications or completed training in data analytics, Power BI, SQL, Python, cloud data platforms, data visualization, or Agile delivery.

Experience 2-5 years of progressively responsible experience in data analysis, business intelligence, reporting, data visualization, or a related analytical role. Experience supporting enterprise analytics, large or complex datasets, utility operations, or technology transformation programs. Proficiency with Microsoft Excel and experience developing business intelligence reports and dashboards in Microsoft Power BI or a similar platform.

Working knowledge of SQL and relational data concepts; ability to query, join, validate, and reconcile data from multiple sources. Ability to define measures, calculations, data requirements, acceptance criteria, and documentation that support repeatable and trusted analytics. Responsibilities: Prepare, integrate, cleanse, and analyze complex data sets for reports, dashboards, analytics products, and AI-enabled solutions.

(15%) Design, build, enhance, and maintain business intelligence reports and dashboards using tools such as Microsoft Power BI and Excel. (15%) Translate business questions into analytical approaches, measures, data requirements, and clear findings that support operational and strategic decisions. (15%) Support solution design and prototyping by performing exploratory analysis, developing data visualizations, and evaluating solution feasibility.

(10%) Lead or support requirements gathering, data validation, user acceptance testing, deployment readiness, and post-implementation adoption activities. (10%) Monitor data quality, investigate errors and anomalies, perform root-cause analysis, and coordinate corrective actions with data owners and technical partners. (10%) Support data governance by documenting key fields, calculations, terminology, lineage, controls, and business processes for assigned solutions.