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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

Cleveland Analytics Group
Cleveland
Estimated Salary
USD 28 – USD 38
Live Update
30 Juli 2026
Deadline
30 Jul 2027

Job Description

Join Cleveland's leading data consultancy and transform raw information into actionable insights. We're seeking a meticulous Part-Time Data Analyst to support our healthcare and manufacturing clients with impactful data-driven solutions. This flexible 20-25 hour/week role offers competitive compensation and the opportunity to work with cutting-edge analytics tools while making tangible business impact.

Why Join Us?

  • Flexible remote-first schedule with in-person collaboration options
  • Exposure to diverse industry datasets (healthcare, logistics, retail)
  • Mentorship from senior data scientists
  • Access to premium analytics software licenses

Responsibilities

  • Analyze complex datasets using SQL, Python, and R to identify trends and anomalies
  • Create interactive dashboards using Tableau/Power BI for executive stakeholders
  • Develop automated data pipelines to ensure data quality and consistency
  • Prepare comprehensive reports with actionable recommendations
  • Collaborate with cross-functional teams to translate business questions into data solutions
  • Maintain and optimize data warehouse structures
  • Present findings to non-technical audiences using clear visualizations

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
  • 2+ years of professional data analysis experience
  • Expert proficiency in SQL and at least one statistical programming language (Python/R)
  • Advanced Excel skills including pivot tables and VLOOKUPs
  • Experience with data visualization tools (Tableau, Power BI, or D3.js)
  • Strong problem-solving abilities with attention to detail
  • Excellent communication skills for stakeholder interactions
  • Portfolio demonstrating 3+ analytical projects

Required Skills

SQL Python R Tableau Power BI Excel Data Visualization Statistical Analysis Data Warehousing ETL

Ready to Take This Challenge?

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