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Center For Health Information And Analysis

Data Quality Assurance Analyst

Data ManagementPosted on Nov 13
Full-timeBoston, MA, USA$75.8k - $125.9k

About the Job

Requirements

  • Strong analytical, data quality, and data manipulation skills.
  • Demonstrated proficiency with SQL and/or Snowflake.
  • Mastery of analyzing and manipulating data in Microsoft Excel.
  • Current knowledge of industry testing and data quality measurement techniques and methods.
  • Working knowledge of relational databases, including Snowflake, SQL Server, and Postgres.
  • Strong interpersonal collaboration and communication skills.
  • Experience working with health care data, claims, and data reporting systems.
  • Comfort with Microsoft Office applications.
  • Ability to translate business requirements into technical solutions.
  • Ability to produce and maintain technical documentation.
  • Ability to work effectively with employees with diverse skillsets.
  • Ability to effectively communicate analytic results and measurements.
  • For Data Quality Analyst I, at least one year of full-time or equivalent part-time professional or practical experience in information technology applications development, or an equivalent combination; an Associate's degree or higher in a related field may substitute for the required experience.
  • For Data Quality Analyst II, at least two years of full-time or equivalent part-time professional or practical experience in information technology applications development, or an equivalent combination; an Associate's degree in a related field may substitute for one year of required experience, and a Bachelor's degree or higher in a related field may substitute for the required experience.

Responsibilities

  • Provide data profiling expertise for released data sets, including the Massachusetts All-Payer Claims Database and Hospital Encounter Data.
  • Use profiling results to define specifications for data quality assurance processes and ongoing data monitoring.
  • Determine the root cause of data quality errors and recommend long- and short-term solutions.
  • Identify and develop process improvements to enhance overall data quality.
  • Run test scripts, record actual results, and identify defects.
  • Develop and maintain data quality assurance documentation.
  • Construct and optimize queries and procedures.
  • Stay up to date on new data profiling technology and business intelligence tools.
  • Maintain commitment to data quality, integrity, and security.
  • Collaborate with other Data Operations Technology groups and internal Business Partners.

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