Data Quality Analyst II

Sparksoft Corporation supports the Centers for Medicare & Medicaid Services (CMS) in detecting and preventing fraud, waste, and abuse in government-sponsored health programs. The Data Quality Analyst II improves program data quality by analyzing data, developing automated reporting solutions, and collaborating with teams to strengthen data processes and reporting.

Responsibilities:

• Analyze structured and unstructured data from multiple sources to identify errors and inconsistencies, correct data issues, and implement processes that improve data accuracy, completeness, and reliability
• 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
• Present responses and findings to business owners, customers, leadership
• Provide support in ad-hoc analysis to meet customer needs
• Perform statistical tests on large datasets to assess 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
• 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
• Streamline internal processes and strengthen organizational support using 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
• Provide technical leadership within the data analytics team and mentor junior team members
• Peer review of team members’ work outputs for quality assurance
• 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

Requirements:

• Advanced Excel expertise required including use of pivot tables, formulas, conditional formatting, etc
• 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
• Ability to manage multiple clients and projects/tasks simultaneously
• Bachelor's degree or higher in Computer Science, Information Technology, Math, Data Analytics, or related field
• 5+ years of experience in a data analytics role
• 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

• Must be able to obtain and maintain a Public Trust clearance
• Must have lived in the United States 3 out of the past 5 year
• Bachelor's or Master's degree in a data-focused or mathematics-related field
• 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