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Remote Data Analyst - Omaha, NE

Omaha Analytics Group
Omaha, NE, USA
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
5 September 2026
Deadline
5 Sep 2027

Job Description

Join our dynamic team as a Remote Data Analyst in Omaha, NE! We're seeking a detail-oriented professional to transform complex datasets into actionable business insights. This fully remote position offers competitive compensation, flexible hours, and immediate start. Leverage your analytical prowess to drive data-informed decisions and support our growth initiatives.

Our ideal candidate thrives in remote work environments and possesses strong technical skills paired with business acumen. Enjoy the flexibility of working from anywhere while collaborating with cross-functional teams to solve real-world challenges.

Responsibilities

  • Analyze complex datasets using SQL, Python, and statistical tools to identify trends and opportunities
  • Create interactive dashboards and visualizations using Tableau/Power BI for stakeholders
  • Develop automated reporting systems to monitor KPIs and business performance
  • Collaborate with departments to define data requirements and deliver actionable insights
  • Validate data integrity and implement quality control measures
  • Present findings to leadership teams with clear recommendations
  • Stay current with industry best practices in data analytics and visualization

Qualifications

  • Bachelor's degree in Data Science, Statistics, Business Analytics, or related field
  • 3+ years of experience in data analysis or business intelligence
  • Proficiency in SQL, Python (Pandas, NumPy), and Excel
  • Experience with data visualization tools (Tableau, Power BI, or similar)
  • Strong problem-solving and critical thinking abilities
  • Excellent communication skills with technical and non-technical audiences
  • Ability to manage multiple projects in a remote work environment
  • Portfolio demonstrating data analysis projects preferred

Required Skills

SQL Python Tableau Power BI Data Visualization Statistical Analysis Business Intelligence Excel Data Cleaning

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