Data Quality Analyst

at  Peraton

ABOUT PERATON

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

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 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. Target Salary Range
  $80,000 - $128,000. This represents the typical salary range for this position based on experience and other factors.

RESPONSIBILITIES

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.

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.