{"@context":"https://schema.org/","@type":"JobPosting","title":"Analytics Engineer
Role details
Job location
Tech stack
Job description
Just Eat is looking to hire an Analytics Engineer for the Customer Product Analytics team, which is responsible for enhancing the customer journey for users across our website and app by delivering data-driven insights and optimising our product experience. You will be working in a data-driven environment as part of a multidisciplinary team. You will work closely with our product analysts, data scientists, product manager, and engineers to ensure the data that is required for our features and analytics is reliable, suitable and easy to use. A primary focus of this role is to design and maintain a Single Source of Truth (SSOT)
for product behavioural data, ensuring consistency across reporting layers and reducing data silos between teams., Reporting to: Product Analytics Manager
These are some of the key components to the position:
- Own the design of optimized Fact & Dimension tables (Star Schemas) to provide a standardized, "single source of truth" for user interactions and conversions.
- Build and maintain robust SQL-based ETL pipelines ensuring data can be used by the team for various purposes such as training models or evaluating feature performance. These will need to be quality assured, well documented and with sufficient built-in observability for anomaly detection in the underlying data.
- Partner with Product and Engineering to shape feature development by identifying and collecting the necessary data touchpoints before code is even written.
- Contributing to the definition of product features based on your knowledge of the data points that will power them.
- Act as the "go-to" person for data governance best practices.
Requirements
You will be a self-starter with an interest in data, experimentation and machine learning, able to work with uncertainty and evolving requirements as we adapt and change to new insights and data. You don't need prior experience of working with machine learning
, but you will be someone who is confident with large datasets, and able to work closely with others or under your own initiative to collaborate, learn and solve problems., * Advanced SQL proficiency, including an understanding of how to improve the efficiency of SQL queries, and a "Software Engineering" approach to data (version control, modularity, and testing).
- Experience of working with and analysing data. Can plot distributions, describe qualities of data sets. Is statistically or mathematically mindful.
- Have some experience dealing with data quality and how to handle missing values or anomalies. Can make informed decisions based on the domain.
- Able to collaborate effectively with Product, Engineering stakeholders and other colleagues.
- Experience of web and app tracking implementations on customer-facing or ecommerce applications would be advantageous.
- Experience with ETL/Orchestration tools (e.g. DBT, Airflow) is strongly preferred.
- Some understanding of Cloud Services (AWS or similar e.g Azure, Google Cloud) and event-driven architecture would be advantageous.
- Guiding & mentoring others, sharing your knowledge and skills with the wider team whilst further developing your skills through learning and training opportunities.
We do not expect every applicant to have a background in analytics or BI engineering. A candidate with a role as a data analyst
or a data engineer with heavy experience of SQL