Data Quality Assurance Analyst (m/f/d) - Customer & Shop Intelligence - onsite or remote within[...]

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

1. Ensure the quality and reliability of the data pipelines and algorithms powering ABOUT YOU’s recommendations, sorting, and search features
2. Design, develop, and execute test plans and test cases for various products, focusing on data accuracy, algorithm performance, and user experience impact
3. Develop and maintain automated data quality checks, tests, and monitoring systems
4. Contribute to the evolving data quality standards and best practices within the BI-APP team
5. Design, monitor, and maintain QA reports, KPIs & quality trends for our internal data systems
6. Participate in post-mortem analysis of production issues to identify root causes and define QA measures to prevent future failures

Who you are

1. You have a minimum of 3 years of business experience working as an Analyst
2. You have strong analytical skills with experience using SQL and data analysis tools
3. You are familiar with data visualization tools and techniques
4. You are proficient in at least one modern object-oriented programming language, such as Python or JavaScript
5. You have practical experience with testing frameworks (e.g., Jest, Mocha, pytest) and testing APIs, ideally within data science or recommendation system contexts
6. You have experience designing testing strategies for dynamic products with variable data inputs
7. You have a solid understanding of data warehousing concepts, ETL processes, and data quality principles
8. 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
9. You have a highly structured and detail-oriented work style
10. You have strong problem-solving skills with an adaptable mindset for a fast-paced environment
11. You have very good communication skills, including fluent written and spoken English
12. Proactive and self-driven, with a passion for data quality and a strong desire for continuous learning and growth

Nice to have

1. You are familiar with CI/CD processes (e.g. Gitlab CI, Github Actions), ticketing systems (e.g., Jira), and monitoring tools (e.g. Datadog)

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