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Data & Analytics 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst - Equity Options

InnovateTech Analytics
Oakland
Estimated Salary
USD 45 – USD 65
Live Update
12 Agustus 2026
Deadline
12 Agu 2027

Job Description

Join our dynamic team as a Part-Time Data Analyst in Oakland and accelerate your career with competitive compensation including equity options! InnovateTech Analytics is urgently seeking a detail-oriented Data Analyst to transform complex datasets into actionable insights. This hybrid role (3 days/week in-office) offers the flexibility of part-time work with full-time impact. You'll collaborate with cross-functional teams to drive strategic decisions through data storytelling, while building equity in a rapidly growing tech startup. Enjoy modern workspaces, professional development stipends, and a culture that values innovation and work-life balance.

Why Join Us?

  • Equity package with RSU grants
  • Flexible hybrid schedule (3 days/week)
  • Comprehensive health benefits
  • $5,000 annual professional development budget

Responsibilities

  • Design, develop, and maintain SQL databases to support business analytics
  • Create interactive dashboards using Tableau/Power BI for executive reporting
  • Perform statistical analysis to identify trends and anomalies in customer behavior
  • Collaborate with product teams to define KPIs and success metrics
  • Present data-driven recommendations to senior leadership
  • Automate reporting workflows using Python/R
  • Ensure data integrity through quality control processes

Qualifications

  • Bachelor's degree in Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Advanced proficiency in SQL and data visualization tools
  • Strong knowledge of statistical analysis methods
  • Experience with cloud platforms (AWS/GCP/Azure)
  • Excellent written and verbal communication skills
  • Portfolio demonstrating data storytelling projects
  • Ability to work independently in a fast-paced environment

Required Skills

SQL Python Tableau Power BI Statistical Analysis Data Visualization AWS Data Storytelling

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