Business Systems Analyst (Mid, TS/SCI) – On-Site DC

M9 Solutions LLC.; Washington (District of Columbia); On-site; USD 80,000 - 100,000; Full time

Job summary

M9 Solutions LLC seeks a mid-level Business Systems Analyst to work on-site in Washington, DC on a government contract requiring TS/SCI clearance. You will lead requirements gathering, write user stories, and shape backlog for a product team with emphasis on data governance and usability.

Responsibilities include defining data standards, creating a data catalog, and collaborating with stakeholders to ensure data quality and efficient information sharing across systems.

Qualifications

• Requires TS/SCI clearance and 5+ years of experience.
• Ability to comprehend, analyze, and interpret documents.
• Strong data management, governance, and data lifecycle knowledge.
• Experience with data governance tools or catalogs is highly desirable.

Responsibilities

• Lead collection and management of user needs from prioritization to user stories.
• Gather business requirements to support backlog definitions and product owner alignment.
• Improve usability, UX, and drive user adoption and engagement.
• Document business needs with concepts of operation, stories, and workflows; document rules.
• Advise on data sharing, data management, and tech implications.
• Develop enterprise data catalog and standards repository; drive standardized data models.
• Define datasets, catalogs, and provide training to data stewards/owners.
• Identify barriers to information sharing and propose solutions.

Skills

TS/SCI clearance

5+ years exp

Document analysis

Data governance

Stakeholder engagement

Business communication

Data lifecycle

Analytical thinking

Job description

M9 Solutions LLC seeks a mid-level Business Systems Analyst to work on-site in Washington, DC on a government contract requiring TS/SCI clearance. You will lead requirements gathering, write user stories, and shape backlog for a product team with emphasis on data governance and usability.

Responsibilities include defining data standards, creating a data catalog, and collaborating with stakeholders to ensure data quality and efficient information sharing across systems.