Data Quality Engineer

Data Quality Engineer 

It is an exciting time to be part of the PatientPoint team! As the clear leader in the point-of-care industry, we offer an ideal, people-focused place to innovate, positively impact patient education and doctor-patient connections, and be inspired to build a great career.  
 
Location: Cincinnati/Hybrid 

Hybrid Schedule: 3 days in office / 2 days at home weekly

Job Summary  
The Data Quality Engineer (QA) role will play a critical role in ensuring the accuracy, consistency, and reliability of data and analytics outputs within the organization. This role is responsible for developing and executing test strategies/plans, identifying data inconsistencies, and ensuring that analytics processes adhere to established quality standards. The ideal candidate has a strong background in data analysis, quality assurance methodologies, and experience with various data management and analytics tools. 

What You’ll Do  

• Collaborate with Product Owners/BA’s/Architects/QA lead in refinement and defining story acceptance criteria for controls-based software utilized in automated systems for material movement. 

• Analyze system requirements and review technical specifications to assess, evaluate, and create testing requirements for all Data components for functional and end-to-end scenarios. 

• Perform data validation, data integrity checks, and regression testing to ensure the accuracy of data and analytics outputs.  

• Collaborate and contribute to automation test system architecture, methodologies, and processes using industry best practices and innovation of testing framework. 

• Design, construct and maintain automated test reporting infrastructure for providing technical, project, and business visibility to software quality. 

• Work with data engineers/data scientists/analysts to understand data flows and models  

• Ensure data governance policies and standards are followed and suggest improvements.  

• Taking part in continuous improvement through sharing knowledge and coaching within the team. 

• Document QA processes, procedures, and outcomes to ensure transparency and knowledge sharing across the team.  

• Prepare and communicate QA reports, including findings, risks, and recommendations.  

• Maintain and update QA documentation with changes in data and analytics processes. 

What We Need  

• 4+ years of total professional experience 

• 3+ years of experience in Data Analytics, testing and test automation of Data Warehouse Quality rules. 

• Proven experience with SQL, data querying, and data analysis.  

• Strong communication skills, both written and verbal, with the ability to explain technical concepts to non-technical stakeholders.  

• Strong understanding of data structures, databases, and data governance principles.  

• Experience with Atlassian tools (JIRA, Confluence, etc.) 

• Experience with SQL language in one or more database platforms (MySQL, PostgreSQL, Oracle, or MS SQL) 

• Hands-on experience with Snowflake 

Desired Qualifications  

• Bachelor’s Degree 

• Experience with Python programming language.  

• Experience with dbt  

• Bachelor's degree in a relevant field such as Data Management, Information Systems, Business Analytics, or relevant experience   

• Familiarity with data visualization tools (e.g., Tableau, Looker) 

What You'll Need to Succeed  

• Self-motivation, strong ambition, and interest in directly impacting business results.  

• Critical thinking with the ability to identify and solve problems in a fast-paced environment.   

• The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not only presenting the data but also explaining the insights in a context that resonates with the audience.  

• Strong interpersonal, communication and consulting skills. Ability to establish and maintain successful cross functional relationships and collaborate closely with multiple teams.  

• Collaboration experience with developers, program managers, and product managers in an open, creative environment.   

• Comfort in a dynamic, agile work environment, with proficiency in using JIRA for project management and workflow tracking; consistent ability to deliver and by deadline.  

• Enthusiasm for responding to a dynamic range of questions and analytical challenges.