Data Science, Senior Associate
2 weeks ago
Peraton is seeking a Data Quality Analyst II to join our team of qualified, diverse individuals. 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.
This role is ideal for someone who thrives in a fast-paced environment and is committed to delivering exceptional results through effective leadership and collaboration.
Key Responsibilities:- Analyze data from various 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 utilize statistical analysis, data cleansing and transformation tools, and data governance frameworks for analysis and to ensure data integrity.
- 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.
- 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.
- 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.
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 with 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.
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