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Junior Data Quality Analyst

Remote, USA Full-time Posted 2026-06-17

Description: JOB SUMMARY: The Junior Data Quality Analyst (Data Sustainment Specialist) plays a critical role in maintaining and enhancing the quality, accuracy, and integrity of GoldenWolf's enterprise data assets. This position is responsible for managing data sustainment processes and ensuring that all data aligns with program objectives and business rules. THE IDEAL CANDIDATE: Applicants with a college degree, and possibly some internship experience, with up to three years of professional work experience. We will consider candidates who have just graduated from college or are in an internship. Overqualified applicants will not be considered for this role. We are specifically looking for Microsoft SQL Server stack and/or Azure Database services experience; However, this is not a requirement. Applicants with some basic knowledge of writing SQL scripting are preferred over database management skills. A solid skillset using Excel with basic formula creation for quality control is a must. ESSENTIAL FUNCTIONS:

  • Execute data sustainment processes to ensure database accuracy and reliability.
  • Conduct inventory data integrity reviews, identifying and correcting data quality issues.
  • Provide remote data management and manipulation at the request of the client or internal stakeholders.
  • Provide technical support and guidance to team members.

DUTIES & RESPONSIBILITIES:

  • Execute data sustainment processes to ensure database accuracy and reliability.
  • Interpret a variety of instructions furnished in written, oral, diagram, or schedule form and translate the technique/data accurately into a database.
  • Conduct quality assurance checks to ensure compliance with stakeholder business rules.
  • Analyze and modify data tables to enhance database accuracy.
  • Research and implement process improvement opportunities.
  • Filter and clean data across multiple systems while maintaining data integrity.
  • Coordinate with program leadership to prioritize business and information needs.

Benefits:

  • Fully remote position
  • Paid time off, up to 3 weeks, depending upon experience
  • 11 Paid Federal Observed Holidays
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401K match 5%
  • Supplemental STD, LTD, Life, Accident, and Critical Illness coverage

Equal Opportunity Employer: GoldenWolf, LLC is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive environment for all employees and applicants. Employment decisions are based on qualifications, merit, and business needs, without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status, genetic information, or any other characteristic protected by federal, state, or local laws. About GoldenWolf: GoldenWolf, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) and Women-Owned Small Business (WOSB) delivering high-impact solutions to federal clients in healthcare, defense, and infrastructure sectors. Our people are our strength—we combine technical expertise, mission understanding, and operational excellence to deliver superior outcomes across the U.S. We take pride in improving operational effectiveness, resilience, and sustainability for complex facilities through informed strategy, innovative engineering, and exceptional performance. Requirements: REQUIRED COMPETENCIES & ABILITIES:

  • Exceptional attention to detail, time management, and organizational skills.
  • Excellent problem-solving abilities for complex data issues.
  • Strong communication skills for effectively presenting technical information to various audiences.
  • Ability to manage multiple priorities and meet strict deadlines.
  • Detail-oriented with strong quality control capabilities.

QUALIFICATIONS & REQUIREMENTS:

  • College Degree preferred.
  • Two years' database management experience required.
  • Working experience with SQL queries and database management.
  • Experience with data quality assurance and validation processes.

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