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Information Technology 🏢 Full Time ⭐️ Verified

Business Analyst (Weekend Shift)

Capital Analytics Group
Washington, DC
Estimated Salary
USD 85.000 – USD 115.000
New
Live Update
13 Juni 2026
Deadline
13 Jun 2027

Job Description

Join our dynamic team as a Business Analyst with a weekend shift opportunity in the heart of Washington DC! We're seeking a strategic thinker to drive data-informed decisions while enjoying weekdays off. This full-time role offers competitive compensation, professional development, and the chance to shape high-impact projects in a collaborative environment.

As a key player in our analytics division, you'll transform complex business challenges into actionable insights. Your weekend schedule (Saturday/Sunday) allows for focused analysis while maintaining work-life balance. Ideal for professionals seeking non-traditional hours without compromising career growth.

Responsibilities

  • Analyze business processes and identify optimization opportunities
  • Collaborate with stakeholders to define project requirements and scope
  • Develop data models and visualizations using SQL/Power BI
  • Create detailed documentation including process flows and user stories
  • Facilitate cross-functional workshops and solution design sessions
  • Monitor KPIs and provide performance reports to leadership
  • Ensure alignment between business objectives and technical solutions

Qualifications

  • Bachelor's degree in Business Analytics, Computer Science, or related field
  • 3+ years of business analysis experience with weekend shift preference
  • Proficiency in SQL, Excel, and data visualization tools
  • Strong understanding of Agile/Scrum methodologies
  • Exceptional communication and stakeholder management skills
  • Certification (CBAP, PMI-PBA) preferred
  • Ability to work independently during weekend shifts
  • Experience with federal contracting regulations a plus

Required Skills

Business Analysis SQL Data Modeling Requirements Gathering Power BI Agile Methodologies Stakeholder Management Process Improvement

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