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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

QuantumLeap Tech
Detroit
Estimated Salary
USD 35 – USD 50
Live Update
11 Agustus 2026
Deadline
11 Agu 2027

Job Description

Join QuantumLeap Tech's elite analytics team and transform raw data into strategic insights that drive innovation. We're urgently seeking a detail-oriented Part-Time Data Analyst to support our cutting-edge projects in Detroit's thriving tech corridor. This flexible role offers the opportunity to work with Fortune 500 clients while advancing your career in a collaborative, high-impact environment.

As a key member of our data science division, you'll leverage state-of-the-art tools to uncover trends, optimize business processes, and present actionable recommendations to leadership. Our commitment to work-life balance makes this ideal for professionals seeking impactful part-time engagement in the tech industry.

Responsibilities

  • Analyze complex datasets using SQL, Python, and BI tools to identify business opportunities and risks
  • Create compelling visualizations and dashboards using Tableau/Power BI for executive stakeholders
  • Collaborate with cross-functional teams to define KPIs and track performance metrics
  • Develop automated reporting pipelines to enhance data accessibility and accuracy
  • Conduct A/B testing and statistical analysis to drive data-informed decisions
  • Maintain data integrity through rigorous validation and cleansing protocols

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis with SQL proficiency
  • Expertise in data visualization tools (Tableau, Power BI, or D3.js)
  • Strong knowledge of statistical analysis and experimental design
  • Experience with Python (Pandas, NumPy) for data manipulation
  • Proven ability to translate complex findings into actionable business recommendations
  • Portfolio demonstrating impactful data-driven projects

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Business Intelligence Data Cleaning Reporting

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