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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

TechSavvy Solutions
Jacksonville
Estimated Salary
USD 22 – USD 28
Live Update
14 Agustus 2026
Deadline
14 Agu 2027

Job Description

Join TechSavvy Solutions as a Part-Time Data Analyst and transform raw data into actionable business intelligence. We're seeking a detail-oriented professional to support our growing analytics team in Jacksonville. This flexible role (20 hours/week) offers the perfect opportunity to leverage your technical skills while maintaining work-life balance. You'll collaborate with cross-functional teams to uncover trends, optimize processes, and drive data-informed decisions that impact our bottom line.

Responsibilities

  • Analyze complex datasets using SQL, Python, and visualization tools to generate actionable insights
  • Create and maintain automated dashboards in Tableau/Power BI for real-time performance monitoring
  • Conduct A/B tests and statistical analysis to validate business hypotheses
  • Prepare comprehensive reports highlighting key metrics and trends for stakeholders
  • Collaborate with marketing and operations teams to track campaign effectiveness
  • Ensure data integrity through rigorous validation and cleaning processes
  • Present findings to leadership through clear, concise visualizations

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 2+ years of experience in data analysis with proficiency in SQL and Python
  • Advanced skills in data visualization tools (Tableau/Power BI)
  • Strong statistical knowledge and experience with hypothesis testing
  • Excellent attention to detail with proven ability to manage complex datasets
  • Ability to translate technical findings into business recommendations
  • Experience working in cross-functional teams in a corporate environment
  • Portfolio showcasing data analysis projects and visualizations

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization A/B Testing Data Cleaning

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