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Data Analyst - Daily Pay Contract

TechNova Analytics
Tampa, FL
Estimated Salary
USD 200 – USD 250
New
Live Update
18 September 2026
Deadline
18 Sep 2027

Job Description

Join TechNova Analytics, a leading innovator in data-driven solutions, as a Data Analyst with daily pay opportunities! We're seeking a detail-oriented professional to transform complex datasets into actionable insights for our Fortune 500 clients. This contract role offers flexible scheduling and competitive daily rates while working on cutting-edge projects that shape business decisions.

Our Tampa hub combines Florida's vibrant tech scene with our company's culture of innovation and rapid growth. You'll collaborate with cross-functional teams to deliver high-impact analytics while enjoying the flexibility of daily compensation.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and business opportunities
  • Create compelling data visualizations using Tableau and Power BI for executive presentations
  • Develop automated reporting systems to track KPIs and performance metrics
  • Collaborate with product teams to design data-driven experiments and A/B tests
  • Present findings to stakeholders through clear, concise dashboards and narrative reports
  • Maintain data integrity through rigorous quality control and validation protocols

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with proven SQL proficiency
  • Expertise in data visualization tools (Tableau/Power BI) and statistical analysis
  • Strong problem-solving skills with ability to translate business questions into data solutions
  • Experience with cloud platforms (AWS/Azure/GCP) and big data technologies
  • Excellent communication skills with ability to articulate complex concepts to non-technical audiences
  • Portfolio demonstrating impactful data-driven projects

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization AWS Data Modeling

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