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Data Analytics 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

Coastal Analytics Group
Long Beach, CA
Estimated Salary
USD 35 – USD 55
Live Update
17 Juni 2026
Deadline
17 Jun 2027

Job Description

Join Coastal Analytics Group as a Part-Time Data Analyst and drive impactful business decisions for Southern California's leading retail clients. We're seeking a detail-oriented professional to transform complex datasets into actionable insights while enjoying a flexible schedule. Perfect for students, career-changers, or those seeking work-life balance without compromising impact.

Our collaborative team values curiosity and precision. You'll work directly with department heads to optimize inventory forecasting, customer segmentation, and marketing ROI analysis. This role offers hybrid work options (2 days/week in our Long Beach waterfront office) and project-based assignments with growth potential into full-time roles.

Responsibilities

  • Analyze sales, customer, and operational data using SQL and Excel to identify trends and opportunities
  • Create interactive dashboards in Tableau/Power BI for real-time performance monitoring
  • Develop statistical models for demand forecasting and inventory optimization
  • Prepare weekly/monthly performance reports for executive stakeholders
  • Collaborate with marketing teams to measure campaign effectiveness and ROI
  • Maintain data integrity through regular quality checks and documentation
  • Present findings to non-technical audiences through clear visual storytelling

Qualifications

  • Associate's degree in Data Science, Statistics, Business Analytics, or related field (Bachelor's preferred)
  • 2+ years experience with SQL for data extraction and manipulation
  • Proficiency in Excel (VLOOKUP, pivot tables, data modeling)
  • Tableau or Power BI dashboard creation experience
  • Strong understanding of statistical concepts (regression, hypothesis testing)
  • Excellent written and verbal communication skills
  • Ability to manage multiple projects with competing deadlines
  • Basic Python or R knowledge for data processing (preferred)

Required Skills

SQL Excel Tableau Power BI Data Visualization Statistical Analysis Forecasting Customer Segmentation Data Cleaning Python

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