If you are an experienced data analytics professional who is excited to build and sustain an ethical culture in Shell, then this role could be the opportunity you are looking for.

In this role, as a team member of the Shell Ethics and Compliance (E&C) Assurance team, you will help deliver (directly and indirectly – within Shell and through third party services) forensic analytical data and insights to support and enable E&C assurance activity and to derive overall trends and learning that will contribute to a holistic overview of E&C Programme effectiveness across businesses and functions and at an enterprise level.

Building on your substantial experience as an analytics professional and leader you will execute the following responsibilities:

• successfully collect, collate, analyse and learn from E&C related data – to identify assurance needs, to support assurance activities, and to highlight the overall effectiveness of the E&C programme;
• support to deliver analytics to contribute to the framing and prioritisation of assurance activities;
• deliver analytics to support the execution of assurance activities (eg, input to E&C audits);
• collaborate with other assurance providers to integrate available E&C assurance data;
• Support E&C analytics manager to ensure that analytics tools are available and accessible as required (including to third party service providers as used);
• participate in assurance activities as required as an SME and analysis provider;
• Support the Assurance analytics manager to create and maintain an inventory of data-driven assurance provision related to E&C relevant processes and controls;
• support reporting on the outcomes of E&C analytics – both to businesses and functions and to assurance providers at group level; and
• develop and maintain a robust auditable documentation of analytics methodology, processes, activity and outcomes.

• Required strong competency and experience in Python, Power BI and Power Platform tools;
• Experience in forensic data analytics and supporting methodologies will be advantageous;
• Required End-to-end experience with data, including querying, aggregation, analysis, and visualization. Experience working with time-series data and experience with numerical, statistical and machine learning techniques would also be advantageous.
• Ability to understand a business problem and devise appropriate analysis steps to assist in better understanding and solving that problem.
• Able to draw meaningful business conclusions from data and communicating those insights effectively to stakeholders – including for process effectiveness and compliance;
• Excellent oral and written communication skills in English;
• Knowledge of control Frameworks including topics on risk management and compliance programmes will be advantageous;