Your role is to develop and implement data solutions that uncover patterns, predict trends, and provide meaningful insights.
Main Responsibilities
1. Design interactive dashboards to communicate complex data insights using visualisation tools such as Power BI.
2. Maintain standardised reporting templates that promote self-service reporting.
3. Create clear visualisations (charts, graphs, dashboards) to effectively communicate insights and findings.
4. Work with the engineering team to build structured datasets for predictive analysis.
5. Ensure appropriate testing occurs, all change control procedures are met and changes are documented.
6. Collaborate with business users to understand their requirements and provide analytical support for initiatives.
7. Apply statistical analysis to identify patterns within large datasets.
8. Address adhoc requests in a timely manner.
You require a degree qualification in Data Science, Computer Science, Statistics, or other quantitative discipline.
To succeed, you will have strong data wrangling skills using SQL, Python, or R, and knowledge of tools like Excel, Power BI, Tableau, or other data visualisation platforms. Proficiency in data analysis tools and techniques is essential.
Above all, people must be at the core of everything you do.