Data Analyst

Location: Florida, Florida, United States

Workplace: hybrid

Employment Type: contract

Description

Client: Utilities Company

Position: Data Analyst

Term: 6-month contract

Compensation: Pay: $45/Hr - $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. (10%)
• Collaborate with business and Technology partners to prioritize analytical needs, communicate findings, and deliver practical, actionable insights. (10%)
• Provide technical guidance, peer review, knowledge sharing, and mentoring to analysts; contribute to standards and continuous improvement. (5%)