Data Quality Analyst

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

Beacon Hill offers a robust benefit package including, but not limited to, medical, dental, vision, and federal and state leave programs as required by applicable agency regulations to those that meet eligibility. Upon successfully being hired, details will be provided related to our benefit offerings.