Data Analyst, M&G

• Strong analytical capability with the ability to interpret and translate data into meaningful insights
• Proficiency in data analysis tools, reporting platforms, and structured query languages, in particular Databricks, Spark, Spark SQL and Python/pyspark
• Understanding of data governance, data quality, and validation practices
• Ability to communicate complex information in a clear, structured, and engaging way
• Strong attention to detail and commitment to delivering accurate, high-quality work
• Collaborative approach, with the ability to build effective working relationships across teams
• Experience working in Financial Services or a similar heavily audited environment with an understanding of operating controls and producing audit evidence
• Ability to prioritise tasks and manage workload effectively within defined processes
• Essential Skills:
• Financial Services experience
• Data validation
• Programming/scripting for data analysis
• Data visualisation and reporting
• Problem-solving and critical thinking
• Attention to detail
• People management
• Communication and storytelling with data
• Stakeholder engagement
• Time and workload management
• Continuous improvement mindset

Desirable

• A new solution for the validation and transformation of policyholder data used in actuarial modelling and assumption setting is being built
• This role will operate, maintain and make BAU updates to the new data pipelines which will validate, transform and enrich data for use in actuarial modelling and assumption setting. It will use its strong data analysis skills to investigate and resolve data issues found pre-emptively or those raised by stakeholders
• The role contributes to the continuous improvement of data processes, ensuring accuracy, consistency, and clarity in outputs while working within defined guidelines. Communication of findings is clear, structured, and tailored to support stakeholders in progressing with confidence
• Ensure data integrity by applying validation, quality checks, and governance standards
• Collaborate with stakeholders to understand data requirements and translate them into transformation logic and code that into the pipeline
• Support internal and external audit queries with timely and comprehensive responses
• Apply data analysis techniques to answer queries raised by users of the data
• Produce clear and accurate reports, dashboards, and visualisations to support business decisions
• Support the development and refinement of data processes, tools, and methodologies
• Communicate findings in a concise, structured, and accessible way to both technical and non-technical audiences
• Work independently within established frameworks, managing own workload and delivering high-quality outputs

• End Date: August 3, 2026