- Exploratory evaluation and analysis of wide variety of industry data sets
- Interaction with and interrogation of various data platforms
- Analysis and interpretation of data automation tasks and processes
- Reviews of data quality monitoring metrics and data quality rule creation
- Operation and incremental build out of the data platform using in-house and vendor data tools
- Highly proficient in SQL and Python with demonstrable work experience in both languages
- An ability to produce high quality analysis whilst managing complexity
- High attention to detail and a demonstrable drive for excellence
- A can-do attitude and willingness to work as an integral part of the wider data team
- A desire to understand and solve business problems, build domain knowledge and increase market understanding