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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Weekly Pay - Omaha, NE

Omaha Analytics Group
Omaha
Estimated Salary
USD 65.000 – USD 85.000
Live Update
17 Juni 2026
Deadline
17 Jun 2027

Job Description

Are you a detail-oriented professional looking for financial stability and immediate rewards? Omaha Analytics Group is seeking a talented Data Analyst to join our dynamic team. We are proud to offer a weekly pay cycle, ensuring you get paid on time, every time, without the waiting game of bi-weekly payroll.

As a Data Analyst, you will play a pivotal role in transforming raw data into actionable business insights. You will collaborate with cross-functional teams to identify trends, optimize processes, and drive strategic decision-making. If you are passionate about data and want to see the direct impact of your work every week, we want to hear from you.

Responsibilities

  • Collect and process large datasets from various sources to ensure accuracy and integrity for reporting.
  • Design and maintain interactive dashboards using BI tools (Tableau, PowerBI, or Looker) to visualize key performance indicators (KPIs).
  • Perform statistical analysis and data mining to uncover hidden patterns and provide recommendations to stakeholders.
  • Collaborate with department heads to understand business requirements and translate them into technical solutions.
  • Generate comprehensive reports and presentations to communicate findings to executive leadership effectively.
  • Identify process improvement opportunities by analyzing operational data and suggesting data-driven strategies.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
  • Experience: Minimum of 2-3 years of experience in data analysis, business intelligence, or a related role.
  • Technical Skills: Proficiency in SQL for data extraction and manipulation; strong skills in Excel (advanced functions, pivot tables).
  • Visualization: Experience with data visualization tools such as Tableau, QlikView, or PowerBI.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical audiences.
  • Attention to Detail: Strong analytical mindset with a focus on precision and quality assurance.

Required Skills

SQL Python Excel Tableau PowerBI Data Visualization Business Intelligence Statistical Analysis Data Mining

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