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You will be updated with latest job alerts via emailStaff Product Analyst Data Quality and Frontend Tracking (Adtech)
We are on the lookout for a dedicated and detailoriented Staff Product Analyst to ensure the accuracy and completeness of frontend event tracking across our digital platforms. In this role you will take ownership of implementing monitoring and maintaining data quality processes that are critical to our organizations decisionmaking and product development.
You will collaborate closely with crossfunctional teams including Data Science Product Analytics and Engineering to ensure our tracking systems provide highquality actionable insights. Your work will empower stakeholders to analyze user behavior assess the impact of new features and develop robust predictive models.
Key Responsibilities
Event Tracking Implementation:
Collaborate with Product and Engineering teams to define implement and document frontend event tracking requirements.
Conduct endtoend testing to validate tracking setup and data flows.
Data Quality Monitoring:
Develop and maintain monitoring tools dashboards and alerts to ensure the completeness and correctness of tracked data.
Investigate and resolve data discrepancies in a timely manner.
Stakeholder Collaboration:
Work closely with the Data Science team to ensure tracking aligns with model requirements and predictive analytics goals.
Partner with the Product Analytics team to validate event data used for user behavior analysis and feature impact evaluation.
Act as the primary point of contact for datarelated inquiries from crossfunctional stakeholders.
Documentation and Process Optimization:
Create and maintain comprehensive documentation for tracking specifications and data validation processes.
Identify and implement improvements to data collection processes to enhance efficiency and reliability.
Qualifications :
Qualifications
Proven experience in a similar role (e.g. Product Analyst Data Analyst or related position).
Strong understanding of frontend tracking tools and frameworks (e.g. Google Analytics Mixpanel Segment or custom event tracking setups).
Proficiency in SQL and data visualization tools (e.g. Tableau Looker Power BI).
Knowledge of data validation techniques monitoring practices and debugging tools.
Excellent communication and collaboration skills with the ability to translate technical concepts for nontechnical stakeholders.
Preferred:
Familiarity with programming languages such as Python or R for data analysis and scripting.
Experience working with data pipelines and ETL processes.
Prior experience working in close collaboration with Data Science teams.
Additional Information :
Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.
Make the most of our hybrid working model and join the team for facetoface connection and collaboration in our beautiful Berlin campus 2 days a week
We offer 27 days holiday with an extra day on 2nd and 3rd year of service
We will support you in developing yourself and your career growth opportunities: 1.000 Educational Budget Language Courses Parental Support and access to the Udemy Business platform to explore a variety of online courses.
Get moving and release those wonderful mindboosting endorphins: Health Checkups Meditation Yoga Gym & Bicycle Subsidy
Cash. Dough. Cheddar. Whatever you call it well help you with it: Employee Share Purchase Plan Sabbatical Bank Public Transportation Ticket Discount Life & Accident Insurance Corporate Pension Plan
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers Food Vouchers Corporate Discounts. Courses.
Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!
We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
No
Employment Type :
Fulltime
Full-time