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Senior Data Analyst – Analytics, Data & Intelligence

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Strategic Staffing Solutions
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Warehousing, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 45 - 50 USD Hourly USD 45.00 50.00 HOUR
Job Description & How to Apply Below

Senior Data Analyst – Analytics, Data & Intelligence

Location: Tampa, FL
Work Arrangement: Hybrid – 4 days onsite, 1 day remote
Contract Length: 6 Months
Rate: $45-$50/hr

Position Overview

The Senior Data Analyst supports the delivery and sustained use of data, analytics, and artificial intelligence solutions by translating business needs into reliable data products, actionable insights, and decision-support tools.

The role independently prepares, analyzes, validates, and visualizes complex data; develops and maintains business intelligence solutions; strengthens data quality and governance; and partners with business and Technology stakeholders throughout the solution lifecycle.

The Senior Data Analyst also provides technical guidance, promotes consistent analytical practices, and supports the growth of less-experienced analysts.

Primary Responsibilities
  • Prepare, integrate, cleanse, and analyze complex datasets for reports, dashboards, analytics products, and AI-enabled solutions.

  • Design, build, enhance, and maintain business intelligence reports and dashboards using tools such as Microsoft Power BI and Excel
    .

  • Translate business questions into analytical approaches, measures, data requirements, and clear findings that support operational and strategic decisions.

  • Support solution design and prototyping through exploratory analysis, data visualization, and solution feasibility evaluation.

  • Lead or support requirements gathering, data validation, user acceptance testing, deployment readiness, and post-implementation adoption activities.

  • Monitor data quality, investigate errors and anomalies, perform root‑cause analysis, and coordinate corrective actions with data owners and technical partners.

  • Support data governance by documenting key fields, calculations, terminology, lineage, controls, and business processes for assigned solutions.

  • Collaborate with business and Technology partners to prioritize analytical needs, communicate findings, and deliver practical, actionable insights.

  • Provide technical guidance, peer review, knowledge sharing, and mentoring to analysts.

  • Contribute to analytical standards and continuous improvement initiatives.

Senior‑Level Scope
  • Perform assignments of moderate to high complexity with minimal supervision and exercise sound judgment in selecting analytical methods and resolving data issues.

  • Independently manage analysis and reporting work from requirements through validation, delivery, and sustainment.

  • Lead or participate in cross‑functional work streams and serve as a knowledgeable resource for assigned data domains and analytics solutions.

  • Review work products for accuracy, clarity, usability, and alignment with established standards.

  • Identify opportunities to improve data quality, reporting efficiency, automation, adoption, and decision support.

Required Qualifications Education
  • Bachelor’s degree in a technical or STEM discipline such as:

    • Data Science

    • Analytics

    • Information Systems

    • Computer Science

    • Engineering

    • Mathematics

    • Statistics

    • Related technical field

Experience
  • 2–5 years of progressively responsible experience in data analysis, business intelligence, reporting, data visualization, or a related analytical role.

  • Proficiency with Microsoft Excel
    .

  • Experience developing business intelligence reports and dashboards using 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.

  • Strong analytical and problem-solving skills.

  • Ability to communicate complex information clearly to both technical and non-technical audiences.

Preferred Qualifications
  • Advanced coursework or graduate degree in a related technical, analytical, or STEM discipline.

  • Experience supporting enterprise analytics or…

Position Requirements
10+ Years work experience
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