Data Analyst (Finance/Insurance)

Job description - the role

This role supports the delivery of high-quality data analysis to validate, transform and enrich data for use in actuarial modelling and assumption setting.

The Data Analyst will apply established analytical techniques to interpret data, proactively pre-empt emerging issues and investigate queries raised by users.

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.

Candidate Profile: Key accountabilities, skills & experience: What you'll do:

• 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.

The skills you'll need:

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.

Ability to prioritise tasks and manage workload effectively within defined processes.

Experience working in Financial Services or a similar heavily regulated environment.

Experience in Life Insurance (desirable).

Next steps

We have a diverse workforce and an inclusive culture at M&G plc, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent.

Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people.

We also welcome those who take part in military service and those returning from career breaks.