Data Quality Analyst

Key items we are looking for:

• 2-5 years of experience with a Bachelor’s degree
• Python, Java, Srpingboot experience
• Public trust security clearance is required for this position
• Citizenship requirements apply.

Day to Day work Responsibilities:
• Analyze data from variety of sources, identifying and correcting errors and inconsistencies, and developing and implementing processes to improve data quality.
• Responsible for ensuring the accuracy, completeness, and reliability of APS data.
• Work with a range of data types, including structured and unstructured data, and will use a variety of tools and techniques to analyze and improve data quality.
• Utilize statistical analysis, data cleansing and transformation tools, and data governance frameworks for analysis and to ensure data integrity.
• Strong understanding of data integration principles and data governance frameworks.
• Partner with the data engineering team and data stewards to define and implement data governance initiatives.
• Collaborate closely with data engineers / scientists and machine learning engineers, to provide support for model building.
• Should have knowledge and experience with Java programming, Spring Boot microservices, and big data technologies in the AWS cloud.
• Familiarity with machine learning concepts and data preparation techniques.
• Participate in Agile ceremonies, such as sprint planning, daily stand-ups, and retrospectives, to provide input on testing progress and challenges.
• In addition to technical responsibilities, support the development and implementation of data quality policies, procedures, and standards.
• Foster a collaborative and supportive team environment, promoting knowledge sharing and continuous learning.
• Excellent communication, collaboration, and problem-solving skills.

Required Qualifications:
• BS Degree in Computer Science, Information Technology, Math, Data Analytics, or related field 2+ years of experience in a data analytics role, MS Degree and 0 years’ experience.
• Candidates must be able to obtain and maintain a Public Trust clearance
• Experience with data analytics tools (SQL, R, Python) and data visualization tools like Tableau, PowerBI and AWS Quicksight.
• Knowledge of databases; PostgreSQL, Oracle and data modeling.
• 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.

Preferred Qualifications:
• BS Degree in data analytics, math or related field and 5+ years’ experience in a data analytics role
• Scaled Agile Framework (SAFe) Certified
• Experience with the version control systems (GitHub)
• Knowledge of AWS or AWS GovCloud & native AWS administrative tools and dashboards.
• Experience in healthcare IT and understanding of regulatory requirements such as HIPAA.
• Experience and/or knowledge of Center for Medicare and Medicaid (CMS) processes and standards.
• Experience with CMS or Federal Healthcare Programs
• Strong Leadership and communication skills.