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Information Technology 🏢 Part Time ⭐️ Verified

Data Analyst (Weekend Shift)

Omaha Data Solutions
Omaha
Estimated Salary
USD 45.000 – USD 65.000
New
Live Update
8 September 2026
Deadline
8 Sep 2027

Job Description

Join Omaha Data Solutions as a Weekend Shift Data Analyst and transform raw data into actionable insights that drive business decisions. This unique part-time opportunity offers flexibility while allowing you to leverage your analytical skills in a fast-paced environment. You'll work Saturdays and Sundays, collaborating with cross-functional teams to uncover trends, optimize processes, and support strategic initiatives.

We're seeking a detail-oriented professional passionate about data storytelling and problem-solving. Our team values innovation, collaboration, and continuous learning. Enjoy competitive compensation, professional development opportunities, and a supportive culture that recognizes your contributions.

Responsibilities

  • Analyze complex datasets using SQL, Python, and Excel to identify trends and opportunities
  • Create compelling data visualizations and dashboards using Tableau/Power BI
  • Prepare weekly performance reports for executive stakeholders
  • Collaborate with weekend operations teams to resolve data discrepancies
  • Develop automated reporting solutions to streamline weekend workflows
  • Present findings to non-technical team members using clear, concise language
  • Maintain data integrity across multiple systems and platforms

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, or related field
  • 2+ years of experience in data analysis or business intelligence
  • Advanced proficiency in SQL and Excel (VLOOKUP, PivotTables)
  • Experience with data visualization tools (Tableau/Power BI)
  • Strong problem-solving skills with attention to detail
  • Ability to work independently with minimal supervision
  • Excellent communication skills for cross-functional collaboration
  • Proficiency in Python or R for statistical analysis

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Excel Data Storytelling

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