Data Quality Assurance Analyst - Customer & Shop Intelligence
Job Description
We are looking for a Data Quality Assurance Analyst (m/f/d) to be part of our BI-APP Team. Our BI-APP Team uses data from across the company and transforms it into logics & scores, used to provide the best personalized user shopping experience.
As a Data Quality Assurance Analyst (m/f/d) in this Team, you will ensure that our recommendation engine, product sorting logic, and search in the shop satisfy high-quality standards. You’ll work closely with Data Scientists, Analysts, and Engineers to achieve this. Further, you’ll improve and establish translating business requirements into an automated testing suite.
What you will do
Ensure the quality and reliability of the data pipelines and algorithms powering ABOUT YOU's recommendations, sorting, and search features
Design, develop, and execute test plans and test cases for various products, focusing on data accuracy, algorithm performance, and user experience impact
Develop and maintain automated data quality checks, tests, and monitoring systems
Contribute to the evolving data quality standards and best practices within the BIAPP team
Design, monitor, and maintain QA reports, KPIs & quality trends for our internal data systems
Participate in post-mortem analysis of production issues to identify root causes and define QA measures to prevent future failures
Who you are
You have a minimum of 3 years of business experience working as an Analyst
You have strong analytical skills with experience using SQL and data analysis tools
You are familiar with data visualization tools and techniques
You are proficient in at least one modern object-oriented programming language, such as Python or JavaScript
You have practical experience with testing frameworks (e.g., Jest, Mocha, pytest) and testing APIs, ideally within data science or recommendation system contexts
You have experience designing testing strategies for dynamic products with variable data inputs
You have a solid understanding of data warehousing concepts, ETL processes, and data quality principles
You are fascinated by the data behind personalized shopping: You're driven to understand how data powers systems like search, recommendations, and product sorting in an e-commerce environment
You have a highly structured and detail-oriented work style
You have strong problem-solving skills with an adaptable mindset for a fast-paced environment
You have very good communication skills, including fluent written and spoken English
Proactive and self-driven, with a passion for data quality and a strong desire for continuous learning and growth
Nice to have
You are familiar with CI/CD processes (e.g.Gitlab CI, Github Actions), ticketing systems (e.g., Jira), and monitoring tools (e.g. Datadog)
Data Quality Assurance Analyst - Customer & Shop Intelligence
Job Description
We are looking for a Data Quality Assurance Analyst (m/f/d) to be part of our BI-APP Team. Our BI-APP Team uses data from across the company and transforms it into logics & scores, used to provide the best personalized user shopping experience.
As a Data Quality Assurance Analyst (m/f/d) in this Team, you will ensure that our recommendation engine, product sorting logic, and search in the shop satisfy high-quality standards. You’ll work closely with Data Scientists, Analysts, and Engineers to achieve this. Further, you’ll improve and establish translating business requirements into an automated testing suite.
What you will do
Ensure the quality and reliability of the data pipelines and algorithms powering ABOUT YOU's recommendations, sorting, and search features
Design, develop, and execute test plans and test cases for various products, focusing on data accuracy, algorithm performance, and user experience impact
Develop and maintain automated data quality checks, tests, and monitoring systems
Contribute to the evolving data quality standards and best practices within the BIAPP team
Design, monitor, and maintain QA reports, KPIs & quality trends for our internal data systems
Participate in post-mortem analysis of production issues to identify root causes and define QA measures to prevent future failures
Who you are
You have a minimum of 3 years of business experience working as an Analyst
You have strong analytical skills with experience using SQL and data analysis tools
You are familiar with data visualization tools and techniques
You are proficient in at least one modern object-oriented programming language, such as Python or JavaScript
You have practical experience with testing frameworks (e.g., Jest, Mocha, pytest) and testing APIs, ideally within data science or recommendation system contexts
You have experience designing testing strategies for dynamic products with variable data inputs
You have a solid understanding of data warehousing concepts, ETL processes, and data quality principles
You are fascinated by the data behind personalized shopping: You're driven to understand how data powers systems like search, recommendations, and product sorting in an e-commerce environment
You have a highly structured and detail-oriented work style
You have strong problem-solving skills with an adaptable mindset for a fast-paced environment
You have very good communication skills, including fluent written and spoken English
Proactive and self-driven, with a passion for data quality and a strong desire for continuous learning and growth
Nice to have
You are familiar with CI/CD processes (e.g.Gitlab CI, Github Actions), ticketing systems (e.g., Jira), and monitoring tools (e.g. Datadog)