Join our dynamic team in Geneva! We're on the lookout for a skilled French-speaking Analytics Engineer to be a key player in our expanding operations. As part of our collaborative environment, you'll work on cutting-edge projects, leveraging your expertise in analytics to drive meaningful insights - typically with dbt, Looker and Google Cloud. If you're passionate about data, analytics, and thrive in a fast-paced environment, we want to hear from you. Elevate your career with us and be part of our exciting journey in shaping the future of analytics.
You will work alongside:
+ BI Analysts: Responsible for designing, building and maintaining analytics solutions, with a primary focus on business unit-specific data marts, self-service data models, and building front-end analytical visualisations/reports (typically Looker), and training business users.
+ Architects: Responsible for designing the solution and data architectures. data architects design the end-to-end business intelligence solutions with a focus on designing the most optimal data model and architecture solution.
+ Data Engineers: Responsible for building applications which connect systems, collect data, process that data into a useful format. Often this data is ‘big’ and requires distributed frameworks to move and process. A data engineer is a key cog in a data platform as they look after the acquisition of data for analytics, and connecting the output of analytics to operational systems.
Your core goals as an Senior Analytics Engineer are:
+ Build the foundation on top of which our analytics and data science teams will build innovative, impactful solutions with our clients;
+ Help our clients migrate existing business intelligence and data warehouse solutions to Google Cloud;
+ Design and build brand new data warehouse & data mart solutions for our clients;
+ Transforming, testing, deploying, and documenting data
+ Understand data modelling techniques
+ Understand optimisation and storage for warehouse technology
+ Work closely with our tech partners: Google Cloud, Snowflake, dbt and Looker, in understanding their tech inside out and forming a network with their engineers
+ Work in an agile and dynamic environment together with our data engineers, BI analysts, data scientists, and machine learning experts.
+ Apply software engineering best practices to analytics; version control, testing and continuous integration.
