Zoe’s motivation for working in data stems from a background in Mathematics. In particular, Zoe enjoys the process of preparing datasets for reporting and/or visualisation.
Zoe has recently undertaken a month-long training programme in data engineering where skills were refined in Python, SQL, Snowflake, dbt and GitHub. She gained experience designing, building and orchestrating pipelines from start to end.
She has completed a 3-month placement with a manufacturing company where she used Azure Data Factory to set up Data Flows and Data Pipelines to ingest data from multiple sources, transform this data and load it to various destinations for use across the business. During this time, Zoe utilised GitHub to manage her work and collaborate with team members.
Zoe is also an experienced Tableau and Alteryx user. She has gained Power BI knowledge through self-study and through using the software over a 6-month placement with a big four consultancy firm. During this placement, Zoe provided Alteryx and Power BI training for employees and ran drop-in support sessions for users of Alteryx, Power BI and Tableau. From these experiences, Zoe is able to understand and tackle issues within a short period of time. She also led internal projects using these softwares, working alongside managers from across levels of the business.
A highlight for Zoe has been working with an Olympic sports team, carrying out statistical analyses to establish the significance of trends. Working with sports data requires analysing each metric through numerous lenses, reinforcing Zoe’s ability to explore a dataset comprehensively.