Location: Cincinnati, OH

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

Job Summary
The Data and Analytics Quality Assurance (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 Youll Do

Quality Assurance Testing

• Develop, document, and execute comprehensive QA test plans, test cases, and test scripts for data and analytics processes.
• Perform data validation, data integrity checks, and regression testing to ensure the accuracy of data and analytics outputs.
• Identify, document, and track data discrepancies, bugs, and issues through resolution.

Data Quality Management

• Work with data engineers/data scientists/analysts to understand data flows and models
• Ensure data governance policies and standards are followed and suggest improvements.

Analytics Validation

• Validate the results of analytical models, dashboards, and reports to ensure they meet business requirements and quality standards.
• Collaborate with business stakeholders and product managers to understand analytics requirements and ensure outputs align with business objectives.
• Work with team on root cause analysis on data quality issues and recommendation solutions.

Automation and Process Improvement

• Develop and maintain automated QA processes and scripts to streamline and improve the efficiency of quality assurance activities.
• Continuously review and improve QA processes, leveraging new tools and techniques to enhance quality assurance efforts.

Documentation and Reporting

• 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

• 3+ years of experience in data quality assurance, data analysis, or a related field
• 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.
• Experiences setting up a CICD process, test pipelines, and different testing strategies
• Strong understanding of data structures, databases, and data governance principles.
• Excellent analytical and problem-solving skills, with a keen eye for detail.

Desired Qualifications

• Proficiency in programming languages (e.g., Python, R)
• Bachelor's degree in a relevant field such as Data Management, Information Systems, Business Analytics
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and ETL processes
• Experience with QA tools and frameworks (e.g., Zephyr, Selenium, JUnit)

What You'll Need to Succeed

• Ability to work independently and collaboratively in a fast-paced, dynamic environment.
• 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.