Data Analyst

Qode; Tampa (FL); Hybrid; USD 128,943,000 - 134,674,000; Full time

Job summary

Utilities Company in Tampa, FL seeks a Data Analyst for a 6-month contract. You will prepare, cleanse, and analyze complex data sets for reports and AI-enabled solutions, and design BI dashboards using Power BI and Excel. The role requires 2–5 years in data analysis, BI reporting, and strong SQL knowledge.

Hybrid on-site in Tampa with 4 days on site and 1 day remote. Ideal candidates hold a STEM bachelor's degree and relevant certifications in analytics, Power BI, SQL, Python, cloud platforms,

Qualifications

• 2-5 years of progressively responsible experience in data analysis or related analytical role.
• Experience supporting enterprise analytics with large datasets or complex datasets.
• Proficiency with Microsoft Excel and BI reports/dashboards in Power BI or similar.
• Working knowledge of SQL and relational data concepts with data from multiple sources.
• Ability to define measures, data requirements, and documentation for repeatable analytics.

Responsibilities

• Prepare, cleanse, and analyze complex data sets for reports and dashboards.
• Design, build, and maintain BI reports and dashboards with Power BI and Excel.
• Translate business questions into analytical approaches and clear findings.
• Support solution design and prototyping through exploratory analysis and data visualizations.
• Lead or support requirements gathering, data validation, and user acceptance testing.
• Monitor data quality and coordinate corrective actions with data owners and tech partners.
• Document key fields, calculations, lineage, and business processes for assigned solutions.
• Collaborate with partners to prioritize analytical needs and deliver actionable insights.
• Provide technical guidance, peer review, and contribute to standards and improvements.

Skills

Data analysis

Business intelligence

Data visualization

SQL basics

Excel proficiency

Education

Bachelor's degree in STEM

Tools

Power BI

SQL

Python

Cloud data platforms

Job 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%)