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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

TechNova Solutions
Columbus
Estimated Salary
USD 28 – USD 42
New
Live Update
25 September 2026
Deadline
25 Sep 2027

Job Description

Join TechNova Solutions' dynamic data team as a Part-Time Data Analyst and transform complex datasets into actionable business insights. This remote-friendly role offers flexible hours (20-25 hrs/week) with competitive compensation while working on cutting-edge projects for Fortune 500 clients. Collaborate with senior analysts to build predictive models, automate reporting processes, and drive data-driven decision-making across departments. Perfect for graduate students, career transitioners, or professionals seeking work-life balance without sacrificing impact.

Responsibilities

  • Design and implement automated data pipelines using SQL, Python, and cloud platforms
  • Create compelling visualizations and dashboards in Tableau/Power BI for executive stakeholders
  • Analyze large datasets to identify trends, anomalies, and growth opportunities
  • Develop A/B testing frameworks and statistical models for product optimization
  • Present findings to cross-functional teams through clear, concise reports
  • Maintain data integrity through rigorous quality control and documentation
  • Support ad-hoc analysis requests from marketing, sales, and product teams

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Economics, or related field
  • 2+ years of professional data analysis experience with SQL proficiency
  • Expertise in data visualization tools (Tableau/Power BI)
  • Strong statistical knowledge and experimental design skills
  • Experience with Python (Pandas, NumPy) for data manipulation
  • Excellent communication skills with ability to translate technical concepts
  • Portfolio demonstrating 3+ data-driven projects with measurable impact
  • Comfortable with remote collaboration tools (Slack, Jira, Zoom)

Required Skills

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

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