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Information Technology 🏢 Full Time ⭐️ Verified

Night Shift Data Analyst

Nashville Analytics Group
Nashville, TN
Estimated Salary
USD 65.000 – USD 85.000
Live Update
4 Mei 2026
Deadline
4 Mei 2027

Job Description

Join our dynamic data team as a Night Shift Data Analyst and transform raw information into actionable business intelligence. This critical role requires a detail-oriented professional to analyze complex datasets during overnight hours, ensuring our Nashville operations run with maximum efficiency. You'll collaborate with cross-functional teams to deliver insights that drive strategic decisions, all while enjoying a quieter work environment and premium shift differentials. If you thrive in focused, independent settings and possess a passion for uncovering hidden patterns in data, this opportunity is your gateway to career growth in one of America's fastest-growing tech hubs.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and anomalies
  • Create automated reporting dashboards in Tableau/Power BI for executive stakeholders
  • Monitor KPIs and operational metrics during overnight hours, escalating critical issues
  • Develop ad-hoc analyses supporting marketing, finance, and operational departments
  • Document data pipelines and maintain data quality standards
  • Collaborate with day-shift teams to ensure seamless data handover
  • Present findings to leadership through concise visualizations and written reports

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field
  • 3+ years of experience in data analysis with SQL proficiency
  • Advanced Excel skills including pivot tables and complex formulas
  • Experience with data visualization tools (Tableau/Power BI)
  • Strong problem-solving abilities with attention to detail
  • Ability to work independently during overnight shifts (10 PM - 6 AM)
  • Excellent written and verbal communication skills
  • Knowledge of data privacy regulations (GDPR, CCPA)

Required Skills

SQL Python R Tableau Power BI Excel Data Visualization Statistical Analysis ETL Processes Data Modeling

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