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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekend Shift

Omaha Analytics Group
Omaha
Estimated Salary
USD 65.000 – USD 85.000
Live Update
17 Juni 2026
Deadline
17 Jun 2027

Job Description

Join Omaha Analytics Group as a Weekend Data Analyst and transform raw data into actionable business insights! We're seeking a detail-oriented professional to support our clients' data-driven initiatives during weekend shifts. Enjoy competitive compensation, flexible scheduling, and the opportunity to work with cutting-edge analytics tools in Omaha's growing tech scene.

As a key member of our analytics team, you'll collaborate with cross-functional stakeholders to identify trends, optimize processes, and deliver strategic recommendations. This weekend-based role offers work-life balance while maintaining full-time benefits and career growth opportunities.

Responsibilities

  • Analyze complex datasets using SQL, Python, and visualization tools to generate actionable insights
  • Develop and maintain automated reporting dashboards for weekend operational metrics
  • Collaborate with business teams to translate data findings into strategic recommendations
  • Monitor weekend performance KPIs and identify improvement opportunities
  • Create ad-hoc analytical reports for leadership review
  • Ensure data accuracy and integrity across weekend data pipelines
  • Present findings to stakeholders through clear visualizations and narratives

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analysis experience
  • Proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
  • Strong experience with statistical analysis and hypothesis testing
  • Ability to work independently during weekend shifts with minimal supervision
  • Excellent communication skills for translating technical concepts to non-technical audiences
  • Experience with cloud platforms (AWS, GCP, or Azure) preferred
  • Portfolio demonstrating analytical projects with measurable business impact

Required Skills

SQL Python Data Visualization Statistical Analysis Dashboard Development Business Intelligence Data Cleaning Reporting

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