Working with a high degree of autonomy, collaborating closely with both the central Data & Analytics team and the analytics function embedded within the line of business.
Clarifying requirements, validating results, and ensuring all outputs are well documented, reproducible, and auditable.
Producing insights, ad‑hoc analysis, and data products that support operational and strategic decision‑making.
Working effectively across both central and embedded teams.

Ability to produce clear, insightful, and actionable reporting materials.
Experience in business process mapping and process design.
Strong statistical analysis skills, including data quality assessment and confidence measurement.
Experience implementing asset-management planning and analysis processes.
Experience working with Enterprise Asset Management (EAM) systems.
Knowledge of data-governance practices and standards.
Understanding of asset-management principles and practices.
Experience with data and analytics technologies such as Qlik or Alteryx.
Experience using coding and querying languages such as SQL, Python, or R.
Experience with forecasting techniques and confidence in interpreting model outputs (desirable).
Experience developing or improving asset-management planning processes (desirable).
Familiarity with advanced statistical or modelling concepts (desirable).

Data Analyst

Key skills