Analytics Engineer III
Would you like to join a high profile team doing outstanding things with data?
Are you passionate about making data clear and engaging?
Do you want to continuously be challenged by innovating and learn new techniques?
As a key member of the Analytics, Products & Visualisation Engineering team, the Analytics Engineer III will play a pivotal role in supporting our key partners, ensuring they are able to effectively and quickly turn data into insights, driving business decisions and strategy.
This team build and develop state of the art solutions, collaborating with other teams across the business to build a robust and reliable platform.
What you’ll do:
* Developing coherent and performant data models that transforms large, complex and disparate datasets into the basis for explorable, understandable and accurate data products
* Collaborate with engineers to prototype, design and build pipelines which take raw data from production systems and deliver them in a format suitable for analytic workloads
* Be the conduit between the wider business and the analytics engineering team, translating business requirements into technical solutions
* Develop our insights platform by building new features and integrating with other tools/systems
* Write scalable, efficient, and thoroughly tested code
Who you are:
* An experienced analytics engineer with an interest in analysis and storytelling with data
* You bring strong skills in SQL, Python, Spark or PySpark, and are comfortable optimizing queries for performance
* You are familiar with or have a background in building and maintaining sophisticated ETL pipeline/data products in production environments (bug fixing, troubleshooting, monitoring, etc.)
* You are knowledgeable about data modeling, data access, and data storage techniques
* Willingness to learn and come up with creative solutions
* Excellent interpersonal skills and ability to work with all levels of management, across different organizations as well as communicate effectively with non technical audiences
* Attention to detail and a commitment to data integrity
* You have an understanding of Data Visualisation best practices as well as some experience with BI tools such as Tableau, Power BI, Looker, etc.