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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

Omaha Analytics Solutions
Omaha
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
31 Agustus 2026
Deadline
31 Agu 2027

Job Description

Join Omaha Analytics Solutions as a Weekend Data Analyst and transform raw data into actionable business intelligence. This unique full-time weekend shift (Friday-Sunday) offers a flexible schedule while working in a collaborative environment focused on driving data-driven decisions. You'll leverage cutting-edge tools to analyze complex datasets, create insightful visualizations, and provide strategic recommendations that impact our clients' success. Enjoy competitive pay, comprehensive benefits, and the opportunity to thrive in Omaha's growing tech sector.

Responsibilities

  • Analyze large datasets to identify trends, patterns, and anomalies using SQL, Python, and statistical modeling
  • Create interactive dashboards and reports using Tableau/Power BI for executive stakeholders
  • Collaborate with cross-functional teams to define KPIs and track performance metrics
  • Develop automated data pipelines to ensure accurate and timely reporting
  • Present findings to leadership teams with clear, actionable recommendations
  • Maintain data quality standards through rigorous validation and documentation
  • Support ad-hoc analysis requests to address immediate business needs

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 data visualization tools
  • Strong understanding of statistical analysis and experimental design
  • Experience with cloud platforms (AWS/GCP/Azure) and ETL processes
  • Excellent communication skills with ability to translate technical insights
  • Ability to work independently during weekend shifts with minimal supervision
  • Detail-oriented with strong problem-solving and critical thinking abilities

Required Skills

Data Analysis SQL Python Tableau Power BI Statistical Analysis Data Visualization AWS ETL Excel

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