Partner with the teams within the People, Places, & Systems organisation to identify key metrics, trends, and analytical needs with an emphasis on improving and scaling our analytical offerings.
Analyse large data sets to distil insights and connect disparate ideas into a meaningful story to drive strategy, action, and decision-making at an executive level.
Diagnose operational breakdowns at the root cause and work with key stakeholders to find efficient and comprehensive solutions.
Support data management, analysis and reporting driving insights for Partners and Executives using our people data ecosystem.
Handle ad hoc reporting and analytical requests, while addressing stakeholder long-term needs.
You have:
5+ years of experience as a data scientist, data engineer, or related role.
Experience managing production data pipelines or warehousing data (e.g., Modern Data Warehouse stacks such as dbt, Airflow, Looker, AWS, BigQuery, Snowflake).
Demonstrated technical knowledge of statistical analysis software (R or Python).
Development background in order to prototype custom analytics/tooling. Architect and work closely with other team members to develop scalable cloud-based data analytic solutions.
A consistent track record to learn quickly and works well both independently as well as in a team setting.