Data Quality Analyst II

ROLE & RESPONSIBILITIES:

The Data Quality Analyst II drives continuous improvement in program data quality by developing solutions and strategies that address business challenges. Working closely with data operations and reporting teams, this role designs, develops, and executes automated reporting solutions that meet high standards for quality and performance. The position requires strong technical expertise, excellent problem-solving skills, and effective collaboration in a SAFe Agile environment. The analyst plays a critical role in improving the quality and accessibility of data solutions that support the Centers for Medicare & Medicaid Services (CMS) in detecting and preventing fraud, waste, and abuse in government-sponsored health programs

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Technical Competencies: Advanced Excel skills, including pivot tables, formulas, and conditional formatting; proficiency with SQL, R, or Python; experience with Tab.

REQUIRED EXPEREINCE:

• 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

PREFERRED EXPEREINCE: 

• 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:

• Bachelor's or Master's degree in a data-focused or mathematics-related field