We are looking for a Lead Analytics Engineer to work in our newly-created Analytics Engineering team. This role will report to the Senior Performance Analytics Manager and collaborate with Data Engineering, Analytics and the wider organisation. Together you will build new data models and optimise existing ones to drive insights and recommendations from our data. You will set the vision for dbt in line best practices and empower data consumers with reliable data to further Zepz’s mission.
Embarrassing honesty - we’re in the process of consolidating technologies across the two brands and building a Zepz Data Platform. Currently, our tech stack includes:
Redshift and BigQuery
Kubernetes and AWS Lambda
S3 and GCS
Python is the primary language used for data processing
dbt, Fivetran and Airflow
Experimentation in Firebase (app) and Optimizely (Web)
Visualization in Looker, Tableau and Full Story
Leading the adoption of dbt with a mix of hands-on experience and strategic thinking. We aspire to have more ownership of data-driven decision making sit with the teams that are best placed to act on insights.
Implementing a framework that ensures all data and output is of a high quality - tested, automated, scalable and documented. Scalability here is both in terms of the volumes of data and a process that is well governed and federated.
Partnering with analysts and business stakeholders to understand commercial objectives and translating them well scoped technical projects to ensure reliable self-serve data is available for decision making
Building relationships across the organisation to understand where data is being used and how the organisation can derive further value from it efficiently
Setting standards and best practices for data consumption, including educating data consumers on data quality, availability and interpretation
Reducing the complexity and cost of our data warehouse through efficient transformations
Supporting data governance discussions across the wider Data team
This role will have an immediate impact on how data consumers across Zepz understand and engage with analytics.
You are enthusiastic to integrate dbt best practices in a scaling organisation
You have a firm understanding of ELT solutions and data warehouse optimisations (preferable in a modern data warehouse).
You are comfortable with daily use of SQL
You’re able to automate processes and deploy applications in Python, and you can develop production standard Python scripts to extract data and perform analysis
You have previous use of any orchestration tools similar to Airflow, Stitch and Fivetran
You see yourself as a problem-solver who can communicate complex topics effectively and prioritise against commercial impact
You are an advocate for self-service analytics who strives to improve processes, establish best practices and define standards
You have an open mind with respect to diversity and inclusivity. Our team (and customers) come from all over the world