Data Quality Engineer - PatientPoint

Join PatientPoint to be part of a dynamic team committed to empower better health. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

Location: Cincinnati

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.

#LI-ED1 #LI-Hybrid

About PatientPoint:
PatientPoint is a leading digital health company that connects patients, healthcare providers and life sciences companies with the right information in the moments care decisions are made. Our solutions are proven to influence patient behavior and improve health outcomes, driving value for all stakeholders. Across the nation's largest network of connected digital devices in 35,000 physician offices, PatientPoint solutions empower better health for more than 750 million patient visits each year.

Latest News & Innovations:

1. Named one of MM+M's 2024 Best Places to Work! Read More
2. Partnership announcement with MyHealthTeam.Read More
3. Featured on Built In's "Insights from Top Sales Leaders." Read More

What We Offer:
We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.

PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

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