Senior Analytics Engineer - Consumer Product
Senior Analytics Engineer - Consumer Product
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Job Description
We are on the lookout for a Senior Analytics Engineer to join our consumer product tribe on our journey to always deliver amazing experiences.
At Delivery Hero youll shape the global consumer experience for millions of users. Your work will have a direct impact on how we attract and retain customers creating data-driven personalized interactions that keep them coming back. As part of our Consumer Team youll enhance customer satisfaction and drive global growth and profitability through innovative projects.
Our consumer product tribes build and scale the digital experience enjoyed by millions of consumers across 11 brands in 70 countries. Our users can do a lot on our platformorder food delivery buy groceries find dine-in deals discover new ad offerings from our partners play games in our loyalty program (and more!)and our goal is to make all this as delightful personalised and seamless an experience as possible!
This is a hybrid role embedded within our consumer analytics team. You will be acting as a bridge between product analytics teams data engineering teams and external data teams with the goal of enabling shorter time to insights for the analytics team improving data trustworthiness as well as enabling greater self-serve for both analysts and end-users alike. The person taking on this challenge is required to be a self-starter with a strong growth and get-things-done mindset. You will be expected to identify root causes of analytics pain points propose and drive solutions with external teams towards addressing them and be comfortable getting hands-on or implementing quick fixes to unblock the business while not losing sight of the longer term vision.
This role is based in Berlin and the team is structured as cross-functional squads & tribes that focus on different aspects of our user experience.
In this role you will
40% Data Architecture and Engineering:
- Understand data use cases architect and build reliable curated data models and associated production pipelines to enable analytical agility and experimentation
- Optimise large-scale ingestion of backend and frontend events by having a hand in how our data capture processes are designed developed and maintained
- Own the DBT Airflow framework and data quality tooling for product analytics
40% Data management
- Partner with our data foundations team to improve our foundational datasets and data infrastructure
- Build a solid understanding of the company data ecosystem as a whole - focusing primarily on discovery and helping understand and investigate the data with our team of analysts.
- Define and own the data quality metrics. Configure data quality tools investigate data quality issues. Work with upstream data owners to improve data quality.
- Champion quality data governance and querying through knowledge shares workflow optimisations hiring onboarding of talent etc
- Maintain good documentation of our data
20% Visualization & dashboard maintenance
- Creation of dashboards (e.g. data quality monitoring dashboard)
Qualifications :
4 years of relevant analytics/data engineering experience in rapidly growing and dynamic environments
Solid production-grade experience with workflow management tools (primarily Airflow) and config-driven data build tooling (primarily DBT) to deliver end-to-end data pipelines.
Strong skills in schema design dimensional data modeling SQL and working with large datasets
Experience with enabling data quality observabilitymonitoring and alerting.
Ability to drive and manage medium scale project initiatives and work with external teams on larger projects
Basic experience with data visualization tools (Looker Tableau)
You aim for clean and well engineered solutions while keeping an eye for simplicity and pragmatism.
You are highly passionate about data with creative problem-solving abilities and an eye for detail.
You have good English communication skills; being able to explain to the team complex technical projects and to summarize them for non-technical stakeholders.
You take ownership of your tasks and support the team embracing sharing and collaboration.
Nice to have
Familiarity with BigQuery and Google Cloud Platform
Familiarity with data quality tooling (great expectations Monte Carlo)
Familiarity with experimentation tooling and techniques (Eppo)
Python
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 face-to-face 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 mind-boosting 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 :
Full-time
Employment Type
Full-time
