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Information Technology 🏢 Full Time ⭐️ Verified

Daily Pay Data Analyst - Omaha, NE

NexGen Analytics
Omaha
Estimated Salary
USD 25 – USD 45
Live Update
27 Juli 2026
Deadline
27 Jul 2027

Job Description

Are you a detail-oriented professional seeking the financial freedom of daily pay? NexGen Analytics is seeking a skilled Data Analyst to join our dynamic Omaha-based team. We pride ourselves on delivering high-impact insights that drive business growth, and we offer a unique perk: daily pay options for our valued employees.

In this role, you will bridge the gap between complex data and strategic decision-making. You will work with cross-functional teams to identify trends, build robust reports, and create visualizations that tell a compelling story. If you are looking for a role where your analytical skills are valued and you have control over your cash flow, this is the opportunity for you.

Responsibilities

  • Collect, clean, and analyze large, complex datasets to identify trends, patterns, and anomalies.
  • Develop interactive dashboards and reports using tools like Tableau, Power BI, or Looker to visualize key performance indicators (KPIs).
  • Collaborate with stakeholders across marketing, sales, and operations to understand data requirements and deliver actionable insights.
  • Perform statistical analysis to support business forecasting and strategic planning initiatives.
  • Maintain data integrity and ensure accuracy in all reporting processes.
  • Translate technical findings into clear, non-technical language for executive presentations.

Qualifications

  • Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field.
  • Proven experience (2+ years) as a Data Analyst or similar role.
  • Advanced proficiency in SQL for querying and manipulating databases.
  • Strong working knowledge of data visualization tools (Tableau, Power BI, or Excel).
  • Excellent analytical skills with a keen attention to detail.
  • Strong communication skills, both written and verbal, with the ability to present data to non-technical audiences.

Required Skills

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

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