Data Analyst (Finance/Insurance)

At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns.

Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.

We partner with M&G to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.

On behalf of M&G, AMS are looking for a Data Analyst (Finance/Insurance) based in the Reading, Edinburgh or Stirling office for a 6 month contract.

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.