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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

Nashville Analytics Group
Nashville
Estimated Salary
USD 28 – USD 40
New
Live Update
5 September 2026
Deadline
5 Sep 2027

Job Description

Join Nashville Analytics Group as a Part-Time Data Analyst and transform raw data into actionable business insights. We're seeking a detail-oriented professional to support our growing client portfolio with flexible scheduling (20-25 hours/week). Ideal for students, career changers, or professionals seeking work-life balance while honing analytical skills in Music City's thriving tech scene.

Our collaborative team values curiosity and precision. You'll work with diverse datasets to uncover trends, create visualizations, and drive data-informed decisions. Enjoy hybrid work options and competitive benefits including professional development stipends and flexible scheduling.

Responsibilities

  • Extract, clean, and analyze structured/unstructured datasets using SQL and Python
  • Create compelling data visualizations using Tableau and Power BI
  • Develop automated reporting dashboards for client stakeholders
  • Conduct A/B testing and statistical analysis to optimize business strategies
  • Collaborate with cross-functional teams to translate findings into actionable recommendations
  • Maintain data integrity through quality assurance protocols
  • Present insights to non-technical audiences through clear documentation

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
  • 2+ years of experience with SQL and data visualization tools (Tableau/Power BI)
  • Proficiency in Python (Pandas, NumPy) or R for data manipulation
  • Strong statistical analysis and hypothesis testing skills
  • Experience working with business intelligence platforms
  • Excellent written and verbal communication skills
  • Ability to manage deadlines in a fast-paced environment
  • Portfolio demonstrating data analysis projects required

Required Skills

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

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