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Night Shift Data Analyst - Omaha, NE

Insight Analytics Group
Omaha, NE
Estimated Salary
USD 65.000 – USD 85.000
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

Join our dynamic data team as a Night Shift Data Analyst and transform raw data into strategic business insights while Omaha sleeps! This premium opportunity offers competitive compensation, flexible scheduling, and cutting-edge tools to drive data-driven decisions. You'll work remotely during night hours (10 PM - 6 AM CT) supporting our global operations with real-time analytics and reporting.

At Insight Analytics Group, we value work-life balance and offer comprehensive benefits including health insurance, 401(k) matching, and professional development stipends. Our Omaha-based team collaborates with Fortune 500 clients to solve complex business challenges through innovative data solutions.

Responsibilities

  • Analyze large datasets using SQL, Python, and R to identify trends and opportunities
  • Create interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Monitor daily operational metrics and alert leadership to critical anomalies
  • Develop automated data pipelines to optimize reporting efficiency
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Present findings through clear visualizations and actionable recommendations

Qualifications

  • Bachelor's degree in Data Science, Statistics, or related field (or equivalent experience)
  • 3+ years of professional data analysis experience with night shift or remote work background
  • Advanced proficiency in SQL and data visualization tools (Tableau/Power BI)
  • Strong knowledge of statistical analysis and data modeling techniques
  • Experience with cloud platforms (AWS/GCP) and ETL processes
  • Excellent problem-solving skills with attention to detail
  • Ability to work independently during night hours with minimal supervision

Required Skills

SQL Python Tableau Power BI Data Visualization Statistics ETL Processes Cloud Platforms Data Modeling

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