Data Analyst

Socket.dev; Town of Florida (NY); Hybrid; USD 62,000 - 65,000; Part time

Job summary

Socket.dev is seeking a Data Analyst for a 6-month contract in Tampa, FL. The role is four days on site and one day remote each week, with USC or GC eligibility and relocation considered from the southeast US.

You will analyze complex datasets, build BI reports in Power BI and Excel, and support data governance and stakeholder reporting. A Bachelor's degree in STEM and 2–5 years of analytics experience are required.

Qualifications

• Bachelor's degree in a technical or STEM discipline.
• 2-5 years of progressively responsible data analysis or BI experience.
• Proficiency with Excel and BI dashboards (Power BI) and data visualization.

Responsibilities

• Prepare, cleanse, and analyze complex datasets for reports, dashboards, and analytics products.
• Design, build, and maintain BI reports and dashboards using Power BI and Excel.
• Translate business questions into analytical approaches, data requirements, and actionable insights.
• Support solution design with exploratory analysis and data visualizations.
• Lead or support requirements gathering, data validation, UAT, and deployment readiness.
• Monitor data quality and coordinate corrective actions with data owners and tech partners.
• Collaborate with stakeholders to prioritize analytical needs and deliver insights.
• Provide guidance and share knowledge to analysts and drive standards.

Skills

Data analysis

Business intelligence

Data visualization

Reporting

Analytical thinking

Education

Bachelor's degree in STEM

Tools

Power BI

SQL

Python

Excel

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%)