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- Aufgaben: Ensure data quality for our recommendation engine and product sorting logic.
- Arbeitgeber: Join our innovative BI-APP Team transforming data into personalized shopping experiences.
- Mitarbeitervorteile: Enjoy flexible remote work options and a collaborative team culture.
- Warum dieser Job: Be part of a dynamic environment where your work directly impacts user experience.
- Gewünschte Qualifikationen: Experience with testing frameworks, SQL, and data analysis tools is essential.
- Andere Informationen: We're excited to see your application through our online portal for a quick process!
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
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 AY’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
- Practical experience with testing frameworks (e.g., Jest, Mocha, pytest) and testing APIs, ideally within data science or recommendation system contexts
- Experience designing testing strategies for dynamic products with variable data inputs.
- Familiarity with CI/CD processes (e.g. Gitlab CI, Github Actions), ticketing systems (e.g., Jira), and monitoring tools (e.g. Datadog) is a plus
- Strong analytical skills with proven experience using SQL and data analysis tools
- Familiarity with data visualization tools and techniques
- Solid understanding of data warehousing concepts, ETL processes, and data quality principles
- 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
- Highly structured and detail-oriented work style
- Strong problem-solving skills with an adaptable mindset for a fast-paced environment
- Excellent communication skills, including fluent written and spoken English for clear collaboration
- Ability to work independently and manage time effectively
- Proactive and self-driven, with a passion for data quality and a strong desire for continuous learning and growth
We are looking forward to receiving your application – preferably via our online application portal! Thus, we can ensure a faster process and for you it is very easy to upload your application documents. 🙂
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Data Quality Assurance Analyst (m/f/d) – Customer & Shop Intelligence – onsite or remote within[...] Arbeitgeber: About You - Collins GmbH & Co. KG
Kontaktperson:
About You - Collins GmbH & Co. KG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Quality Assurance Analyst (m/f/d) – Customer & Shop Intelligence – onsite or remote within[...]
✨Tip Number 1
Familiarize yourself with the specific testing frameworks mentioned in the job description, like Jest or Mocha. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Brush up on your SQL skills and practice data analysis. Being able to showcase your analytical abilities during discussions can set you apart from other candidates, especially since strong analytical skills are a key requirement for this role.
✨Tip Number 3
Understand the principles of data quality and ETL processes. This knowledge will help you engage in meaningful conversations with the team and show that you are serious about ensuring high-quality standards in data.
✨Tip Number 4
Prepare examples of how you've contributed to improving data quality in previous roles. Sharing specific instances where you've designed testing strategies or automated checks will highlight your proactive approach and problem-solving skills.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Quality Assurance Analyst (m/f/d) – Customer & Shop Intelligence – onsite or remote within[...]
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Quality Assurance Analyst position. Understand the key responsibilities and required skills, especially those related to data quality, testing frameworks, and collaboration with other teams.
Tailor Your CV: Customize your CV to highlight relevant experience in data quality assurance, testing frameworks, and any specific tools mentioned in the job description, such as SQL, Gitlab CI, or Jira. Use keywords from the job listing to make your application stand out.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data quality and your understanding of how it impacts user experience in e-commerce. Mention specific examples from your past work that demonstrate your analytical skills and problem-solving abilities.
Submit Your Application Online: Follow the instructions to submit your application through the online portal. Ensure all documents are uploaded correctly and double-check for any errors before hitting the submit button. This will help streamline the process for both you and the company.
Wie du dich auf ein Vorstellungsgespräch bei About You - Collins GmbH & Co. KG vorbereitest
✨Understand the Role
Make sure you have a clear understanding of the responsibilities of a Data Quality Assurance Analyst. Familiarize yourself with the specific data quality standards and practices mentioned in the job description, as well as the tools and technologies that will be used.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with testing frameworks like Jest or Mocha, and how you've applied them in previous roles. Highlight any experience you have with SQL, data analysis tools, and CI/CD processes, as these are crucial for the position.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled data quality issues in the past. Discuss your analytical approach and how you identify root causes of problems, as well as the measures you implemented to prevent future failures.
✨Communicate Effectively
Since excellent communication skills are essential for this role, practice articulating your thoughts clearly and concisely. Be ready to explain complex technical concepts in a way that is understandable to non-technical stakeholders.
