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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Night Shift)

Omaha Data Insights Inc.
Omaha
Estimated Salary
USD 70.000 – USD 90.000
New
Live Update
17 September 2026
Deadline
17 Sep 2027

Job Description

Urgent Opportunity: Night Shift Data Analyst with Relocation Assistance!

Join Omaha Data Insights Inc. as a key player in our data-driven revolution. We're seeking a meticulous Data Analyst to support our night-time operations, transforming raw data into actionable insights that drive business decisions. With relocation assistance provided, this is your chance to advance your career in Omaha's thriving tech hub.

Why Join Us?

  • Competitive salary with comprehensive benefits package
  • Relocation assistance for qualified candidates
  • Modern collaborative workspace with cutting-edge tools
  • Clear career advancement pathways

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and anomalies
  • Create interactive dashboards and reports using SQL, Python, and TableauCollaborate with cross-functional teams to translate business needs into data solutions
  • Ensure data integrity through rigorous validation and quality checks
  • Present findings to stakeholders through clear visualizations and narratives
  • Optimize data collection processes to enhance efficiency and accuracy
  • Support real-time monitoring systems for operational metrics

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 visualization tools (Tableau/Power BI)
  • Strong statistical analysis and problem-solving abilities
  • Experience with ETL processes and data warehousing
  • Excellent written and verbal communication skills
  • Ability to work independently during night shift hours (10 PM - 6 AM)
  • Relevant certifications (e.g., AWS Data Analytics, Google Data Analytics) preferred

Required Skills

SQL Python Tableau Data Visualization Statistical Analysis ETL Business Intelligence Data Modeling R Excel

Ready to Take This Challenge?

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