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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst | Omaha, NE

Heartland Data Partners
Omaha
Estimated Salary
USD 35 – USD 55
Live Update
20 Juli 2026
Deadline
20 Jul 2027

Job Description

We are seeking a highly analytical and driven Part-Time Data Analyst to join our dynamic team in Omaha, Nebraska.

In this role, you will play a pivotal part in transforming raw data into actionable business insights. You will work closely with our leadership team to identify trends, optimize processes, and drive strategic decision-making. This position offers a flexible schedule, allowing you to contribute significantly while maintaining work-life balance.

Why Join Us?

  • Competitive hourly rate and benefits package.
  • Flexible part-time schedule tailored to your availability.
  • Opportunity to work with cutting-edge analytics tools.
  • Collaborative and inclusive work culture in the heart of Omaha.

Responsibilities

  • Collect, clean, and interpret data from various sources to identify patterns and trends.
  • Develop and maintain interactive dashboards using Tableau or Power BI to visualize key performance indicators (KPIs).
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Prepare detailed reports and presentations for stakeholders, ensuring data accuracy and clarity.
  • Conduct statistical analysis to support business forecasting and strategic planning.
  • Identify areas for process improvement by analyzing data workflows and operational bottlenecks.

Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Business Administration, or a related field (or equivalent work experience).
  • Proven experience in data analysis, preferably in a part-time or freelance capacity.
  • Strong proficiency in SQL for querying databases and Excel for advanced data manipulation.
  • Experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Excellent written and verbal communication skills with the ability to explain complex data concepts to non-technical audiences.
  • Detail-oriented mindset with a strong commitment to data integrity and quality assurance.

Required Skills

SQL Python Excel Tableau Power BI Data Visualization Statistical Analysis

Ready to Take This Challenge?

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