Quality Assurance - Data Specialist

3 days ago

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Zoomph

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Social Media • Analytics • Marketing • Data Science • Sponsorships

11 - 50 employees

💰 $1.7M Seed Round on 2017-01

Description

• The QA/Data Specialist will support the Product and Data teams in ensuring the quality and reliability of Zoomph’s platform, particularly in data-heavy components. • This role will focus on designing and executing test plans, analyzing data integrity, and improving product quality through rigorous testing processes. • The specialist will work to validate complex use cases involving social data, ensuring functionality and data accuracy. • Design and execute QA test plans for data pipelines, dashboards, and analytics features. • Lead communications with other departments for testing and solving problems. • Collaborate with data engineers and developers to ensure data accuracy and quality. • Conduct manual and automated testing of platform features to identify issues. • Provide insights and feedback for improving data handling and system performance. • Work closely with the Product and Social teams to validate complex social media-related use cases. • Document QA findings and assist in refining testing protocols. • Report quality levels, defects and other issues to relevant departments. • Train other team members on quality assurance inspection processes and policies. • Document and maintain records of operations. • Create reports using data mining techniques to extract and analyze information from data sets and visualizations to communicate data findings. • Ensure data is accurate and free of errors.

Requirements

• Bachelor’s degree, or a related field • 3+ years of experience in quality assurance and data analyst account management, customer success, or a related role, preferably in a SaaS environment. • Experience supporting and delivering QA solutions to a software developing firm. • Excellent communication, negotiation, and presentation skills. • Advanced analytical skills with the ability to leverage data to drive decision-making. • Ability to work collaboratively across teams to deliver tailored client solutions.