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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

Data Insights Pro
Mesa, AZ
Estimated Salary
USD 22 – USD 30
Live Update
16 Juli 2026
Deadline
16 Jul 2027

Job Description

Join Data Insights Pro 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 team with flexible hours (20-25 hrs/week). Ideal for students, career-changers, or professionals seeking supplemental income in Mesa's thriving tech corridor.

You'll collaborate with cross-functional teams to identify trends, optimize processes, and drive data-driven decisions. Our modern Mesa office offers a collaborative environment with cutting-edge analytics tools and mentorship opportunities. This hybrid role includes 2 in-office days weekly with flexible remote options.

Responsibilities

  • Analyze complex datasets using SQL, Excel, and BI tools to identify business trends and opportunities
  • Create compelling data visualizations and dashboards using Tableau/Power BI
  • Prepare and clean data for analysis, ensuring accuracy and consistency
  • Generate weekly performance reports and KPI tracking for department heads
  • Collaborate with marketing and operations teams to support strategic initiatives
  • Document processes and maintain data dictionaries for clarity
  • Present findings to stakeholders through concise, actionable recommendations

Qualifications

  • Associate's degree in Data Science, Statistics, or related field (Bachelor's preferred)
  • 1+ years of hands-on data analysis experience with SQL and Excel
  • Proficiency in data visualization tools (Tableau/Power BI)
  • Strong problem-solving skills with attention to detail
  • Ability to work independently with minimal supervision
  • Excellent written and verbal communication skills
  • Knowledge of Python or R for advanced analysis (bonus)
  • Authorized to work in the United States

Required Skills

Data Analysis SQL Excel Tableau Data Visualization Business Intelligence Reporting Data Cleaning Statistical Analysis

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