Data Quality Assurance Specialist

5 days ago

London, Greater London, United Kingdom Zappi Full time
About the Role

Zappi is a fast-growing SaaS platform helping Fortune 500 companies pre-test new ideas and creative content before production. Our services encompass new products, media campaigns, names, logos, packaging or flavours. Zappi enables companies to shelve bad ideas and refine good ones. We bring together top expertise in applied statistics, data science, visualisation, UX and engineering to create a platform that empowers non-expert users to make high-stakes decisions easily and confidently. We are committed to running a profitable business while having a positive impact on the environment and our communities.

Our Platform

Our platform provides quick, actionable insights that amplify creative effectiveness and shape winning innovation. We empower creators with the agility and data they need to make informed decisions about the ads and innovation they bring to market.

Through partnerships with some of the world's biggest brands, we've developed technology that allows our customers to see their product innovations and advertising ideas through the eyes of their consumers. This enables them to quickly iterate, optimize, validate and learn — increasing their chances of in-market success.

The Quality Assurance Team

Our Quality Assurance (QA) team is the backbone of our commitment to delivering exceptional software products. Comprising a group of dedicated and meticulous professionals, the QA team ensures that we deliver high quality solutions to our customers.

The team is dynamic and highly collaborative, working closely with cross functional teams throughout the software development lifecycle. This approach ensures a thorough understanding of user needs and maintains the highest standards of quality. Our QA Engineers are encouraged to continually enhance their skills through professional development opportunities in the latest testing methodologies and technologies.

Responsibilities
  • Advocate for a shift-left testing approach by integrating testing early and often in the software development lifecycle.
  • Develop, and maintain automated test frameworks and test scripts for data validation and regression, focusing on data integrity.
  • Identify, log, and track defects throughout the testing process, ensuring that all data quality and functional issues are resolved effectively.
  • Utilize tools like DisplayR/SPSS to validate data, verify transformation rules, and conduct data quality assessments.
  • Collaborate closely with Product Managers, Engineers & Research team to identify and resolve issues early in the development cycle.
  • Contribute to improving QA methodologies related to AI/ML testing and validation.
  • Analyse test execution results, discuss quality metrics and trends with your teams to drive improvements.
  • Optimise testing processes to improve efficiency and coverage in all application layers.
  • Provide support and guidance to other QA Engineers in all aspects of quality assurance.
  • Keep up-to-date with new testing tools and strategies, incorporating them into the testing framework as appropriate.
Requirements
  • Knowledgeable in Software development & test life cycles.
  • Have a good understanding of statistics & mathematics, essential for designing effective test, interpreting data insights and able to assess our solutions from a market research perspective.
  • Proficiency in data governance frameworks; possess advanced skills in SQL, data querying, and a strong understanding of data structures, relational databases, and modelling concepts.
  • Collaborating with Product Engineering and Research teams to understand product changes and define test strategy.
  • Strategic; you can articulate when to apply software quality best practices and how to balance manual testing & automated.
  • Enthusiastic about developing tooling and tests that proactively address ambiguous data validation problems.
  • Quality focused, contribute to the continuous improvement of our quality initiatives.
  • Confidently identifying quality gaps and risks and work with fellow teammates & business stakeholders to mitigate them.
  • Familiar with AWS, micro-services, micro-frontend architecture, and continuous deployment processes.
  • Prepare test strategies from a customer perspective, ensuring that testing aligns with user expectations.
  • Able to work autonomously, taking ownership of tasks and proactively addressing issues encountered.
  • Strong in communication and collaboration skills.

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