Jr. Data Quality Analyst

Sparksoft Corporation
United States
HybridCareer-pivot friendly

Who this role is best for

Geared toward candidates with a technical background in data analytics and experience in government or healthcare domains, comfortable with Agile collaboration and data governance frameworks.

Best fit for

  • Candidates with 2+ years in data quality analysis and a background in government or healthcare IT
    — “2+ years of experience in a data quality analysis role.”
  • Individuals who can thrive in SAFe Agile environments and demonstrate advanced Excel skills
    — “the ability to work collaboratively in a SAFe Agile environment. Demonstrate advanced Excel expertise”
  • Candidates familiar with CMS processes and data validation techniques
    — “Review and understand artifacts related to data ingestion and transformation as they apply to data validation and analysis.”

Things to consider

  • Must be able to obtain and maintain a Public Trust clearance, which is a legal and background check requirement
    — “Must be able to obtain and maintain a Public Trust clearance.”
  • Candidates must have lived in the United States for 3 of the past 5 years, which may affect eligibility
    — “Must have lived in the United States for 3 of the past 5 years.”

How to stand out

  • Highlight experience with data governance frameworks and CMS-related data validation in your resume
    — “Use data analytics tools, including SQL, R, and Python, and data visualization tools, including Tableau, Power BI, and AWS QuickSight.”
  • Demonstrate your ability to mentor and collaborate with teams during interviews
    — “Provide training for internal users and customer stakeholders.”
  • Showcase your track record in identifying and resolving data quality issues in healthcare or government contexts
    — “Analyze and identify data quality issues and develop methods to address data quality problems.”
  • Emphasize your experience with Agile methodologies like SAFe and Scrum in your application materials
    — “Experience with Agile methodologies, including SAFe and Scrum, and tools, including Jira and Confluence.”
  • Demonstrate your ability to manage multiple clients and projects simultaneously in your interview responses
    — “Manage multiple clients and projects or tasks simultaneously.”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • improved data quality
  • enhanced data reporting
  • successful implementation of data quality policies
Typical background
Bachelor’s degree in Computer Science, Statistics, or related fieldexperience in data quality roles

Skills & requirements

Required

Data AnalysisData Quality ManagementData GovernanceStatistical Analysis

Preferred

Data VisualizationProject Management

Stack & domain

ExcelPivot TablesFormulasConditional FormattingPower BITableauProblem-solvingCollaborationData QualityGovernment

About the role

Original posting from Sparksoft Corporation via Greenhouse

Join us at Sparksoft, where we're not just another tech company—we're a catalyst for change. Our mission isn't just to offer IT solutions; it's to revolutionize the way you work. Here, passion isn't just a buzzword; it's the fuel behind groundbreaking ideas and transformative technologies. We serve a wide range of government clients, delivering impact that's felt across the nation.

Our true strength lies in our people. They're the problem-solvers and innovators consistently delivering extraordinary outcomes. With Sparksoft, you're not stepping into a routine job; you're joining a team committed to innovation and excellence. Our innovation extends beyond just delivering projects. Through our specialized Innovation Centers, we continuously refine our methods, ensuring we remain industry leaders.

We are Sparksoft!

ROLE & RESPONSIBILITIES:

The Jr. Data Quality Analyst will ensure continuous improvement of the program's data quality through solutions and strategies that address business challenges. This role involves working closely with data operations and reporting teams to design, develop, and execute automated data reporting solutions with the highest standards of quality and performance. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively in a SAFe Agile environment. The Data Quality Analyst will play a critical role in improving the quality and accessibility of data solutions to support the Centers for Medicare & Medicaid Services (CMS) in detecting and preventing fraud, waste, and abuse within government-sponsored health programs.

KEY RESPONSIBILITIES

Analyze data from a variety of sources, identify and correct errors and inconsistencies, and develop and implement processes to improve data quality.

Ensure the accuracy, completeness, and reliability of APS data.

Work with a range of data types, including structured and unstructured data, and use a variety of tools and techniques to analyze and improve data quality.

Use tools and techniques such as statistical analysis, data cleansing and transformation tools, and data governance frameworks.

Develop and implement data quality policies, procedures, and standards.

Document processes, prepare reports, and make recommendations for process improvements.

Develop new processes and procedures to enhance operations.

Collaborate with other teams to implement changes or updates to existing reports.

Demonstrate advanced Excel expertise, including the use of pivot tables, formulas, and conditional formatting.

Present responses and findings to business owners, customers, and leadership.

Provide support for ad hoc analysis to meet customer needs.

Perform statistical tests on large datasets to determine data quality and integrity.

Collaborate with the internal team to improve data collection and storage processes.

Analyze and identify data quality issues and develop methods to address data quality problems.

Review and understand artifacts related to data ingestion and transformation as they apply to data validation and analysis.

Provide quality assurance reports using tools such as Excel, SharePoint, Power BI, and Tableau.

Streamline internal processes focused on organizational support using tools such as Excel, SharePoint, Power BI, and Tableau.

Perform ad hoc data analysis to support programmatic questions and stakeholder requests.

Work as part of a project team to determine project requirements, goals, implementation, and schedules.

Develop scripts and dashboards to monitor the accuracy and quality of data flow.

Maintain data accuracy and quality checks by regularly monitoring and reviewing dashboards and reports.

Provide training for internal users and customer stakeholders.

Provide technical leadership within the data analytics team and mentor junior team members.

Conduct peer reviews of team members' work outputs for quality assurance.

Use data analytics tools, including SQL, R, and Python, and data visualization tools, including Tableau, Power BI, and AWS QuickSight.

Apply knowledge of databases, including PostgreSQL and Oracle, and data modeling.

Assess and evaluate timely data reporting and data solutions against client requirements.

Ensure customer satisfaction through follow-up, client responsiveness, and thorough communication.

Manage multiple clients and projects or tasks simultaneously.

Participate in Agile ceremonies, such as sprint planning, daily stand-ups, and retrospectives, to provide input on testing progress and challenges.

REQUIRED QUALIFICATIONS:

2+ years of experience in a data quality analysis role.

Experience with Agile methodologies, including SAFe and Scrum, and tools, including Jira and Confluence.

Excellent communication skills and the ability to work collaboratively in a team environment.

Strong problem-solving skills and a proactive approach to identifying and addressing issues.

Ability to work effectively in a fast-paced, Agile, deadline-driven environment.

Must be able to obtain and maintain a Public Trust clearance.

Must have lived in the United States for 3 of the past 5 years.

PREFERRED QUALIFICATIONS:

Bachelor's or master's degree with a data or math focus.

SAFe Agile certification.

Experience with version control systems, including GitHub.

Experience in healthcare IT and an understanding of regulatory requirements such as HIPAA.

Experience with and/or knowledge of CMS processes and standards.

EDUCATION & CERTIFICATIONS:

Bachelor's degree or higher in Computer Science, Information Technology, Math, Data Analytics, or a related field.

2+ years of experience in a data analysis role.

WHAT WE OFFER: 

At Sparksoft, we know that people do their best work when they feel supported, inspired, and connected. That’s why we’ve built a workplace that balances comprehensive benefits with a culture of collaboration and innovation. From flexible time off to professional growth opportunities, we’re committed to helping you thrive both inside and outside of work. When you join Sparksoft, you’ll enjoy:

  • Competitive compensation and a 401(k) with employer contributions to help you plan for the future
  • Flexible paid time off and hybrid ways of working that support true work-life balance
  • Comprehensive health coverage—including medical, dental, vision, life, and disability insurance
  • A curated in-office experience designed to foster community, team connections, and innovation
  • Opportunities to give back through Sparksoft Cares, including annual company-wide fundraising events
  • Training and development programs that build new skills and prepare you for leadership roles
  • A collaborative, transparent, and fun culture—recognized as a Great Place to Work®

Accessibility and Accommodations: Sparksoft Corporation is committed to providing equal employment opportunities to all individuals. If you require accommodations during the application or interview process, please contact us at Sparksoft.Accommodations@sparksoftcorp.com or call 410-424-7700. Requests are reviewed and fulfilled on a case-by-case basis.

Security Notice: Your privacy and data security are important to us. Sparksoft Corporation will never request sensitive personal information via email. If you receive any suspicious communication claiming to be from Sparksoft, please report it immediately to our security team at abuse@sparksoftcorp.com.

Artificial Intelligence (AI) Policy: While Sparksoft values the appropriate use of artificial intelligence in the workplace, candidates must complete interviews and independent assessments using their own knowledge and abilities. Unless expressly permitted by Sparksoft, the use of AI during interviews and assessments is strictly prohibited. Violations may result in disqualification. Please contact your recruiter regarding accommodation needs.

Source: Sparksoft Corporation careers (Greenhouse)

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