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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Omaha Analytics Group
Omaha
Estimated Salary
USD 75.000 – USD 100.000
Live Update
2 Agustus 2026
Deadline
2 Agu 2027

Job Description

Are you ready to transform raw data into strategic business intelligence? Omaha Analytics Group is seeking a talented and detail-oriented Data Analyst to join our growing team in Omaha, Nebraska.

In this pivotal role, you will partner with cross-functional teams to drive decision-making through advanced analytics. We are looking for someone who is passionate about uncovering trends and building scalable data models that fuel our growth. If you have a knack for solving complex problems and a keen eye for detail, we want to hear from you.

Responsibilities

  • Design, develop, and maintain complex SQL queries and data models to support business reporting needs.
  • Visualize data findings using Tableau or Power BI to create interactive dashboards for stakeholders.
  • Perform deep-dive analysis on large datasets to identify trends, anomalies, and opportunities for process improvement.
  • Collaborate with product and engineering teams to ensure data integrity and accuracy across systems.
  • Prepare clear, concise reports and presentations to communicate actionable insights to non-technical audiences.
  • Automate reporting processes to increase efficiency and reduce manual errors.

Qualifications

  • 3+ years of experience in data analysis, business intelligence, or a related analytical field.
  • Proficiency in SQL (PostgreSQL, MySQL, or SQL Server) and scripting languages (Python or R).
  • Strong experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Experience with data warehousing concepts and ETL processes.
  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
  • Strong analytical thinking with the ability to translate business requirements into technical solutions.

Required Skills

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

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