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Information Technology 🏢 Full Time ⭐️ Verified

Business Analyst - Weekend Shift

Omaha Innovations Group
Omaha
Estimated Salary
USD 75.000 – USD 95.000
Live Update
16 Juni 2026
Deadline
16 Jun 2027

Job Description

Join Omaha's leading tech transformation firm as a Business Analyst on our dynamic weekend shift! We're seeking a detail-oriented professional to drive data-driven decisions while enjoying a 4-day work week. This hybrid role combines strategic analysis with hands-on collaboration to optimize our client's financial systems. If you excel in translating complex business needs into actionable insights and thrive in collaborative environments, this is your opportunity to make an impact while maintaining work-life balance.

Our weekend schedule (Friday-Saturday) offers competitive compensation, comprehensive benefits, and a culture that values innovation and professional growth. Apply today to become part of Omaha's thriving tech community!

Responsibilities

  • Analyze financial data to identify trends and recommend process improvements
  • Document business requirements and create detailed specifications for development teams
  • Collaborate with stakeholders to define project scope and deliverables
  • Develop and maintain dashboards using SQL and visualization tools
  • Conduct user acceptance testing and validate system solutions
  • Facilitate workshops to gather cross-functional input
  • Prepare executive summaries and present findings to leadership

Qualifications

  • Bachelor's degree in Business, Finance, IT, or related field
  • 3+ years of business analysis experience in financial services
  • Proficiency in SQL, Excel, and data visualization tools (Power BI/Tableau)
  • Strong experience with requirement gathering and documentation
  • Certification (CBAP, PMI-PBA) preferred
  • Exceptional communication and stakeholder management skills
  • Ability to thrive in collaborative, fast-paced environments

Required Skills

SQL Power BI Requirements Gathering Stakeholder Management Financial Analysis Process Improvement Data Modeling

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