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Data Analyst Part-Time | Columbus, Ohio

Apex Data Insights
Columbus
Estimated Salary
USD 45.000 – USD 65.000
Live Update
16 Juli 2026
Deadline
16 Jul 2027

Job Description

Apex Data Insights is a forward-thinking organization dedicated to leveraging data to drive business growth. We are currently looking for a skilled and motivated Data Analyst to join our team on a part-time basis. This role offers the perfect opportunity for those seeking work-life balance without sacrificing professional impact. You will play a crucial role in translating complex datasets into actionable insights that guide our strategic decisions.

What You Will Do:

As a Part-Time Data Analyst at Apex, you will collaborate closely with our product and marketing teams to identify trends, optimize processes, and forecast future performance. If you have a passion for numbers and a knack for storytelling through data, we encourage you to apply.

Responsibilities

  • Data Collection & Cleaning: Gather, clean, and preprocess large datasets from various sources to ensure accuracy and reliability.
  • Dashboard Creation: Design and maintain interactive dashboards (Tableau/PowerBI) to visualize key performance indicators and track progress.
  • Statistical Analysis: Conduct in-depth statistical analysis and A/B testing to support product development and marketing campaigns.
  • Reporting: Generate regular, comprehensive reports for stakeholders, translating complex findings into clear, non-technical language.
  • Process Improvement: Identify opportunities for operational efficiency by analyzing current workflows and data gaps.
  • Collaboration: Work cross-functionally with product managers, engineers, and executives to define data requirements.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
  • Experience: 2+ years of experience in data analysis, preferably in a part-time or freelance capacity.
  • Technical Skills: Proficiency in SQL for data extraction and manipulation; strong Excel skills; experience with Python or R is a plus.
  • Visualization: Demonstrated experience with data visualization tools such as Tableau, PowerBI, or Looker.
  • Communication: Excellent verbal and written communication skills with the ability to present data-driven insights to non-technical audiences.
  • Flexibility: Ability to work a flexible schedule (20-25 hours per week) as required by business needs.

Required Skills

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

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