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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekend Shift

Nashville Analytics Group
Nashville
Estimated Salary
USD 70.000 – USD 90.000
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

Join Nashville Analytics Group as a Data Analyst in our dynamic weekend shift role! We're seeking a detail-oriented professional to transform complex datasets into actionable insights that drive business decisions. This unique weekend schedule (Sat-Sun) offers work-life balance while contributing to cutting-edge analytics projects. Our collaborative team values curiosity, precision, and innovative thinking.

As a key member of our analytics division, you'll work with cross-functional teams to identify trends, optimize operations, and support strategic initiatives. We provide competitive compensation, comprehensive benefits, and opportunities for professional growth in Nashville's thriving tech scene.

Responsibilities

  • Analyze large datasets using SQL and Python to identify business trends and opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI
  • Collaborate with stakeholders to define analytics requirements and deliverables
  • Develop automated reporting systems for weekend performance metrics
  • Present complex findings to non-technical audiences through clear narratives
  • Maintain data quality standards and implement validation protocols
  • Support ad-hoc analysis projects for weekend operational improvements

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas, NumPy), and Excel
  • Experience with data visualization tools (Tableau/Power BI)
  • Strong statistical analysis and problem-solving abilities
  • Excellent written and verbal communication skills
  • Ability to work independently during weekend shifts
  • Experience with cloud platforms (AWS/Azure/GCP) preferred

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Excel Business Intelligence Data Mining Cloud Platforms

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