K.L. Scott & Associates

K.L. Scott & Associates

Business Analyst

Washington, D.C · Exec

Sponsorship not specifiedDetected 36 days ago
Data AnalysisData VisualizationExcelCustomer SupportLeadershipCollaborationOrganizational Skills

About the role

  • The ideal candidate is an excellent communicator, highly organized, and comfortable working with federal clients in a collaborative environment.
  • The ideal candidate will reside in or within commutable distance to Washington DC.

Responsibilities

  • Support federal client stakeholders in gathering and documenting business, functional, and reporting requirements for data dashboards, visualizations, and decision-support tools.
  • Develop user story intake process and tracking methodology while working closely with cross-functional teams to refine user story language and needs through an iterative process.
  • Develop process flows user personas, user stories, and related artifacts to support user-centered dashboard design and development.
  • Collaborate with internal data analysts, dashboard developers, and technical teams to ensure requirements are clearly understood and accurately implemented.
  • Support user acceptance testing, including test planning, test case development, test execution, defect tracking, and validation of dashboard functionality.
  • Build strong working relationships with public safety stakeholders, federal clients, and internal delivery teams.
  • Support continuous improvement by identifying opportunities to enhance reporting processes, data usability, and stakeholder engagement.
  • This role will support a federal client and will require regular collaboration with client stakeholders, public safety professionals, internal data analysts, dashboard developers, and project leadership.
  • The Business Analyst will play a key role in ensuring that data dashboards and visuals are designed to meet client needs and support informed decision-making by client leadership.

Requirements

  • Minimum of 5 years of experience as a Business Analyst, Requirements Analyst, Functional Analyst, or similar role.
  • Bachelor of Science in Business or Bachelor of Science degree in Information Systems, Finance, Business, Data Analytics, or an equivalent field.
  • Ability to communicate effectively with both technical and non-technical audiences.
  • Ability to work directly with federal clients, public sector stakeholders, and internal technical teams.
  • Must be in-person in Washington, D.C. 5 days a week.
  • Must have or be able to obtain full scope background investigation and clearance.
  • If you are a results-driven professional and have the above qualifications, we encourage you to apply for this position.
  • To apply, please send your resume and a cover letter detailing your relevant experience and why you are the ideal candidate for this role.

Nice to have

  • Advanced excel and experience with Power BI
  • Experience working with federal agencies or government consulting environments.
  • Familiarity with business intelligence tools, dashboards, and data visualization concepts.
  • Experience working with data analysts, dashboard developers, or reporting teams.
  • Desired Skills & Competencies:

Skills

  • Excellent facilitation and stakeholder engagement skills.
  • Strong attention to detail and ability to produce clear, high-quality documentation.
  • Ability to translate complex business needs into actionable requirements.
  • Comfortable working in a fast-paced, client-facing environment.
  • Collaborative mindset with the ability to work across business, technical, and leadership teams.
  • Strong customer service orientation and professionalism when engaging with federal stakeholders.

Compensation

  • Competitive salary

Benefits

  • Health, dental, and vision insurance
  • "Discretionary" PTO

Equal opportunity

  • K.L. Scott & Associates is committed to diversity and inclusion and welcomes candidates from all backgrounds and experiences to apply.

This listing is sourced directly from K.L. Scott & Associates's careers page and normalized into a canonical job model.