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Part-Time Data Analyst - Cleveland, OH

Cleveland Analytics Partners
Cleveland
Estimated Salary
USD 28 – USD 42
Live Update
20 Juli 2026
Deadline
20 Jul 2027

Job Description

Are you a data-driven professional looking for flexibility?

Cleveland Analytics Partners is seeking a highly skilled and analytical Part-Time Data Analyst to join our dynamic team in Cleveland, Ohio. We offer a competitive hourly rate and a collaborative environment where your insights will directly impact our business strategy.

In this role, you will leverage your expertise to uncover actionable insights from complex datasets. We are looking for a self-starter who can manage their time effectively and deliver high-quality results on a part-time schedule.

Responsibilities

  • Data Management: Collect, clean, and validate large datasets to ensure accuracy and integrity for analysis.
  • Visualization: Design and maintain interactive dashboards using Tableau or Power BI to track key performance indicators (KPIs).
  • Reporting: Generate comprehensive reports and executive summaries that translate complex data into clear, actionable business insights.
  • Analysis: Perform statistical analysis and trend forecasting to support strategic decision-making across departments.
  • Stakeholder Communication: Collaborate with cross-functional teams to understand data needs and present findings to non-technical stakeholders.

Qualifications

  • Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
  • Experience: 2+ years of professional experience in data analysis or a related analytical role.
  • Technical Skills: Strong proficiency in SQL for querying databases and advanced Excel skills (Pivot Tables, VLOOKUP, Macros).
  • Tools: Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Soft Skills: Excellent communication skills with the ability to explain complex data concepts to diverse audiences.

Required Skills

SQL Python Tableau Power BI Excel Data Visualization Statistical Analysis Data Mining

Ready to Take This Challenge?

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