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Sparksoft Corporation

Data Quality Analyst I

Posted 4 Days Ago
Remote
Hiring Remotely in Maryland, USA
Entry level
Remote
Hiring Remotely in Maryland, USA
Entry level
The Data Quality Analyst I will improve data quality for government programs by analyzing data, developing processes, and collaborating with teams in a SAFe Agile environment.
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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 Data Quality Analyst will ensure continuous improvement of the program’s data quality through solutions and strategies to 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, identifying and correcting errors and inconsistencies, and developing and implementing 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 in the existing reports. 
  • Advanced Excel expertise required including use of pivot tables, formulas, conditional formatting, etc. 
  • Present responses and findings to business owners, customers, leadership. 
  • Provide support in ad-hoc analysis to meet customer needs. 
  • Performing statistical tests on large datasets to determine data quality and integrity. 
  • Collaborate with internal team to improve data collection and storage processes. 
  • Analyze and identify data quality issues, develop methods to address data quality problems. 
  • Advanced Excel expertise required including use of pivot tables, formulas, conditional formatting, etc. 
  • Review and understand artifacts related to data ingestion and transformation as it applies to data validation and analysis. 
  • Provide quality assurance reports using tools like Excel, SharePoint, Power BI, and Tableau. 
  • Streamlines internal processes focusing on organization support using tools like Excel, SharePoint, Power BI, and Tableau. 
  • Performs ad hoc data analysis to support programmatic questions and stakeholder requests. 
  • Works 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 monitoring/reviewing the dashboards and reports regularly. 
  • Provide training for internal users and customer stakeholders. 
  • Experience with data analytics tools (SQL, R, Python) and data visualization tools (like Tableau, PowerBI, AWS Quicksight). 
  • Knowledge of databases (PostgreSQL, Oracle) and data modeling. 
  • Assess/evaluate to deliver timely data reporting, and data solutions against client requirements. 
  • Ensure customer satisfaction through follow-up, client responsiveness, and thorough communication. 
  • Ability to manage multiple clients and projects/tasks simultaneously. 
  • Participate in Agile ceremonies, such as sprint planning, daily stand-ups, and retrospectives, to provide input on testing progress and challenges. 

REQUIRED EXPERIENCE: 

  • Experience with agile methodologies (SAFe, Scrum) and tools (Jira, Confluence). 
  • Excellent communication skills and 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 environment and deadline-driven environment. 
  • Candidates must be able to obtain and maintain a Public Trust clearance. 
  • Candidates must have lived in the United States 3 out of the past 5 years

PREFERRED EXPERIENCE: 

  • SAFe Agile Certification 
  • Experience with the version control systems (GitHub) 
  • Experience in healthcare IT and understanding of regulatory requirements such as HIPAA. 
  • Experience and/or knowledge of CMS processes and standards. 

EDUCATION & CERTIFICATIONS:

  • Working towards a Bachelor’s degree or higher in Computer Science, Information Technology, Math, Data Analytics, or related field.

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 [email protected] 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 [email protected].

Artificial Intelligence (AI) Policy: While Sparksoft recognizes the value of artificial intelligence in the workplace, our hiring process is designed to assess each candidate’s individual skills, judgment, and problem-solving abilities. To maintain the integrity of this process, the use of AI tools at any stage of the application or interview is strictly prohibited. Violations of this policy may result in disqualification from consideration.

Top Skills

Aws Quicksight
Confluence
Excel
JIRA
Oracle
Postgres
Power BI
Python
R
SQL
Tableau

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