Data Quality Analyst II

Columbia, MDfull time

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Sparksoftcorporation The Data Quality Analyst II at Sparksoftcorporation develops and executes automated reporting solutions to improve program data quality. This role supports CMS in detecting and preventing fraud, waste, and abuse in government health programs.

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.
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.

Qualification

Participate in Agile ceremoniesTechnical Competenciesenvironmentaddressing issuesEDUCATION & CERTIFICATIONS

Required

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.
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.