Mid-Level Data Analyst - BI and Marketing Analytics (all genders)
Berlin, Germany
Delivery Hero
Delivery Hero - Always delivering an amazing experience.Company Description
As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, we enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero
Job Description
Be our next Hero! - Join the world’s leading local delivery platform.
We are looking for a Data analyst (all genders) to join our amazing Central marketing Analytics team on our journey to always deliver amazing experiences.
If you're a creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!
Your mission:
You will drive the decision-making process on Marketing topics such as customer acquisition, retention or upselling across all Delivery Hero brands by using analytics, statistics, visualization and data science
You will work closely with the wider Marketing teams to drive innovation by analyzing customer data, prototyping solutions and models, and establishing steering metrics.
You will work with broad briefs to analytical projects and translate the insights into actionable recommendations for the business to change customer-centric strategies and to optimize the campaign portfolio
Work closely with other analysts and data scientists to develop and scale your ideas.
Define and drive the best practices of analytics and statistics within the Marketing and product analytics domain as well as be the guardian of these best practices in front of stakeholders.
Qualifications
Your heroic skills:
3+ years of experience as an analyst working on applying advanced analytics to solve complex business problems.
Master’s degree (or Bachelor’s with 5+ years of experience) in a quantitative field such as Computer Science, Statistics, Engineering, Mathematics, Physics, Theoretical Chemistry, or Similar.
Strong business acumen: the ability to look at a business problem and translate it into data, as well as the ability to transform the results of an analysis into practical insights and operational recommendations.
Knowledge of a wide variety of analytics and Statistical methods (for ex: Causal inference, Clustering, and Propensity Modeling) and their pros-cons. Ability to identify the best approach and methods suitable for a problem.
Strong coding skills in Python and SQL.
Comfortable with ambiguity and able to navigate it to define analytics problems. Ability to break a problem into manageable tasks and establish clear analytics and business goals.
Effective communication and ability to explain complex work in simple terms to team members and stakeholders as well as visualize data to reinforce insights .
Additional Information
Nice to have:
Previous experience in driving Marketing efficiency projects as well as customer growth segmentation exercises.
Experience working with Google cloud products, Vertex AI, Airflow, version Control (Git, GitHub), and tableau.
Experience in Modelling technique (clustering, regression) is a plus.
At Delivery Hero, 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. Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Causal inference Chemistry Clustering Computer Science Engineering GCP Git GitHub Google Cloud Mathematics Physics Prototyping Python SQL Statistics Tableau Vertex AI
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