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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst | Weekly Pay | Omaha, NE

Horizon Analytics Group
Omaha
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
8 September 2026
Deadline
8 Sep 2027

Job Description

Are you a detail-oriented professional ready to make a tangible impact? Horizon Analytics Group is seeking a Data Analyst in Omaha, NE to drive strategic decision-making through data-driven insights. We pride ourselves on our weekly pay schedule, ensuring you get paid on time, every time, without the wait. Join a team that values your hard work, offers a collaborative, modern work environment, and provides the financial stability you deserve.


Why Join Us?

  • Weekly Pay Cycle: Get paid every week to manage your finances effectively.
  • Modern Tech Stack: Work with the latest tools in data science and visualization.
  • Remote & Hybrid Options: Flexible work arrangements to suit your lifestyle.

We are looking for a passionate individual who loves uncovering stories hidden within complex datasets. If you are ready to advance your career in data analytics, apply today!

Responsibilities

  • Perform complex data analysis to uncover trends, patterns, and actionable insights for business growth.
  • Design, develop, and maintain interactive dashboards and visualizations using Tableau, Power BI, or Looker.
  • Collaborate closely with cross-functional teams (Sales, Marketing, Operations) to define data requirements and reporting needs.
  • Extract, clean, and validate large datasets from various sources to ensure accuracy and integrity.
  • Prepare clear, concise reports and executive summaries to communicate findings to stakeholders.
  • Identify process improvement opportunities and provide data-backed recommendations to leadership.
  • Stay current with industry trends and best practices in data analysis and visualization.

Qualifications

  • Bachelor’s degree in Finance, Statistics, Mathematics, Computer Science, or a related field (or equivalent professional experience).
  • Strong proficiency in SQL for querying, manipulating, and managing relational databases.
  • Expertise in Excel (advanced functions, pivot tables) and experience with Python or R for data analysis.
  • Experience with BI tools such as Tableau, Power BI, or Google Data Studio.
  • Excellent written and verbal communication skills to translate complex data into business value.
  • Demonstrated ability to work independently and collaboratively in a fast-paced, agile environment.

Required Skills

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

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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