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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

Quantum Insights Group
Portland
Estimated Salary
USD 28 – USD 42
Live Update
30 Juli 2026
Deadline
30 Jul 2027

Job Description

Join Quantum Insights Group 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 Portland. This flexible 20-25 hour/week role offers competitive compensation and the opportunity to work with cutting-edge tools while making tangible impact. Perfect for students, career-changers, or professionals seeking work-life balance without sacrificing growth.

Our ideal candidate thrives in collaborative environments and possesses strong statistical thinking. You'll work directly with stakeholders across marketing, operations, and product teams to uncover insights that drive strategic decisions. This hybrid position requires 2 days in our vibrant Portland office, with remote flexibility for the remainder.

Responsibilities

  • Collect, clean, and analyze complex datasets using SQL and Python
  • Create compelling visualizations and dashboards using Tableau and Power BI
  • Identify trends and anomalies in customer behavior and operational metrics
  • Develop ad-hoc reports for executive stakeholders
  • Collaborate with cross-functional teams to define KPIs
  • Present findings through clear, concise documentation
  • Maintain data integrity and quality standards

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
  • 2+ years experience with SQL and data visualization tools
  • Proficiency in Python (Pandas, NumPy) or R
  • Strong statistical analysis and problem-solving skills
  • Experience with A/B testing methodologies
  • Excellent written and verbal communication abilities
  • Portfolio demonstrating data-driven projects
  • Authorized to work in the US

Required Skills

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

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