Data Quality Analyst

Our client is seeking a dedicated and detail-oriented Data Quality Analyst to join their dynamic team. This remote, full-time position offers the opportunity to work with a diverse and innovative team of professionals from around the globe.

As a Data Quality Analyst, you will play a pivotal role in ensuring the accuracy and comprehensiveness of our client's data warehouse and semantics layers. These layers are crucial for delivering valuable insights to various departments, including sales, marketing, and executive leadership.

Key Responsibilities:

• Participating in the scrum team responsible for delivering data products
• Creating test cases that align with business-defined acceptance criteria
• Writing reusable code for test cases that can be easily shared among team members
• Recommending scenarios and exceptions for monitoring in the production environment
• Creating a regression test suite
• Collaborating with various departments to understand acceptance criteria and data usage
  
  
  

Required Skills and Experience:

• Minimum of 5 years of experience in data quality assurance
• Proficiency in Excel and SQL
• Excellent communication skills, with the ability to liaise with both business and technical audiences
• Understanding of quality assurance within an agile environment
  
  
  

Preferred Skills and Experience:

• Experience in quality assurance automation
• Familiarity with project management software, such as Jira
• Previous experience in data quality assurance within the healthcare/durable medical equipment industry
  
  
  

Education:

• A Bachelor's Degree in Computer Science, Statistics, Finance, Accounting, Economics, Mathematics, or a related field is preferred. However, a Bachelor's in Business Administration with relevant experience will also be considered.
  
  
  

Please note that upon offer, candidates must complete a background and drug screen. Our client is committed to fostering a diverse and inclusive work environment. We encourage applications from all qualified individuals, regardless of race, gender, disability, or any other identifying characteristic.