Data QA Manager

As a Data QA Manager at YipitData, your primary responsibilities include managing a team of Data QA Specialists, overseeing the data cleaning and quality assurance processes vital for the Signals product, and ensuring that your team meets key performance indicators. You will also track team metrics, collaborate closely with leadership, and provide career development support to your team.

To qualify for the Data QA Manager position at YipitData, you should have at least 3 years of management experience with direct reports, 5 years of experience in a data or QA role, and at least 2 years working as a data or quality assurance analyst. Strong communication skills and experience managing teams in high-growth environments are also essential.

In the Data QA team at YipitData, the Data QA Manager oversees a team of over 10 Data QA Specialists. This structure allows for collaborative efforts to ensure data quality, where you will also work with team leads to facilitate quality checks and provide feedback, creating a culture of continuous improvement.

The Data QA Manager role at YipitData is fully remote and requires some overlap with US work hours, especially during onboarding and initial training. Flexibility is appreciated, and specific work hour expectations will be discussed during the hiring process.

As a Data QA Manager, your contributions to the Signals product at YipitData will be substantial. By ensuring high data quality and promoting efficient cleaning processes, you will directly help enhance the product's credibility and subsequent revenue growth, making a tangible impact on the company’s success.

In your response, share specific examples of how you've led a team in achieving quality metrics and improving QA processes. Highlight any tools or technologies you've utilized and how you fostered team motivation and development.

Discuss the methodologies you employ for data quality assurance, such as data cleaning techniques, validation processes, and the role of automation in improving efficiency and accuracy.

Explain your leadership style, focusing on how you inspire your team and provide opportunities for professional growth, training, and engagement in their work.

Share details about your familiarity with specific data cleaning or quality assurance platforms you've used in your past roles and how these experiences will benefit YipitData.

Provide examples of how you prioritize tasks and manage team resources effectively to meet project deadlines without compromising data quality.

Outline a specific situation, explain the problem, and highlight the steps you took to resolve it while demonstrating your critical thinking and leadership skills.

Discuss your methods for ensuring effective communication and collaboration with teams across different locations and time zones, offering insights on how you maintain alignment and understanding.

List specific KPIs that you've monitored in previous roles, such as accuracy rates, processing times, and error rates, and explain their relevance to data quality management.

Share your passion for data analytics and how YipitData's mission aligns with your career goals. Mention the company’s growth, innovative products, or commitment to employee development as points of interest.

Discuss your commitment to continuous learning through attending workshops, webinars, or pursuing certifications related to data management and QA best practices.