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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst | Omaha, NE

Omaha Innovations Group
Omaha
Estimated Salary
USD 75.000 – USD 95.000
New
Live Update
27 September 2026
Deadline
27 Sep 2027

Job Description

Join Omaha's fastest-growing tech firm as a Senior Data Analyst! We're seeking a data-driven professional to transform raw information into strategic insights that drive our business forward. In this pivotal role, you'll collaborate with cross-functional teams to optimize operations, enhance customer experiences, and identify new growth opportunities. Our culture combines innovation with work-life balance, offering competitive benefits, flexible schedules, and professional development programs.

Located in downtown Omaha's vibrant business district, our modern office features collaborative workspaces, state-of-the-art analytics tools, and a team of passionate problem-solvers. We're committed to creating an inclusive environment where diverse perspectives thrive.

Responsibilities

  • Design and implement end-to-end data pipelines using SQL, Python, and cloud platforms
  • Develop interactive dashboards and visualizations using Tableau/Power BI
  • Analyze complex datasets to identify trends, patterns, and business opportunities
  • Collaborate with stakeholders to translate business questions into analytical solutions
  • Create predictive models to forecast market trends and customer behavior
  • Present findings to executive leadership through compelling data narratives
  • Maintain data governance frameworks ensuring accuracy and compliance

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field
  • 3+ years of professional data analytics experience with SQL proficiency
  • Advanced skills in Python (Pandas, NumPy) and data visualization tools
  • Experience with statistical analysis and predictive modeling techniques
  • Strong business acumen and ability to translate data into strategic insights
  • Excellent communication skills with experience presenting to non-technical audiences
  • Proficiency with cloud platforms (AWS, Azure, or GCP)
  • Experience in retail, logistics, or fintech industries preferred

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Predictive Modeling AWS Azure GCP Data Pipelines Business Intelligence

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