About the role:

We are looking for a Senior 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 organization. Together you will build new data models and optimize existing ones to drive insights and recommendations from our data. You will integrate dbt to Analytics ways of working, reduce the complexity of our data warehouse 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

As a Senior Analytics Engineer, you will own:

• Building and maintaining data models in dbt to expose reliable data for analysis

• Communicating with analysts and business stakeholders to understand the commercial requirements, translating them into a technical solution to ensure reliable self-serve data is available for decision making  

• Developing standards and best practices for data consumption, including educating data consumers on data quality, availability and interpretation

• Identifying opportunities to reduce complexity and increase efficiency across data models and our data warehouse

• Ensuring the data and output is of high quality - tested, automated, scalable and documented

This role will have an immediate impact on the quality of data presented and used to solve business problems. 

What we’re looking for from you: 

• You have familiarity with dbt to design and implement data models (must have)

• You are comfortable with daily use of SQL and (preferably) have with a modern cloud data warehouse environment. 

• You have the ability to work confidently with the tools of modern software engineering, for example working with the command line, version control, testing and performing code reviews

• You see yourself as a problem-solver who wants to understand the business problem and communicate the commercial impact alongside the technical solution 

• You are an advocate for data-driven decision making who strives to improve processes, establish best practices and define standards

• You have previous use of any orchestration tools similar to Airflow, Stitch and Fivetran

• You’re comfortable automating processes and deploying applications in Python, and developing production standard Python scripts to extract data and perform analysis

• You have an open mind with respect to diversity and inclusivity. Our team (and customers) come from all over the world