Data Analyst
This 6‑month contract Data Analyst position at Qode for a utilities client requires 2‑5 years of experience in data analysis and business intelligence, with a focus on large or complex datasets. The role is based in Tampa, FL, with a hybrid schedule of four onsite days and one remote day, and offers $45–$47 per hour.
Skills required
About this role
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%)
