At a Glance
- Tasks: Analyse data to support financial modelling and improve data processes.
- Company: Join M&G, a leading international savings and investments business with a rich history.
- Benefits: Enjoy a competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Make a real impact in finance while developing your analytical skills.
- Qualifications: Strong analytical skills and proficiency in data analysis tools like Python and SQL.
The predicted salary is between 35000 - 45000 £ per year.
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.
Data Analyst (Finance/Insurance) in Reading employer: Alexander Mann Solutions
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StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Finance/Insurance) in Reading
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Alexander Mann Solutions before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Alexander Mann Solutions.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Alexander Mann Solutions.
We think you need these skills to ace Data Analyst (Finance/Insurance) in Reading
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Alexander Mann Solutions, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Alexander Mann Solutions, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Alexander Mann Solutions’s attention and show the tangible impact of your work.
How to prepare for a job interview at Alexander Mann Solutions
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Alexander Mann Solutions.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Alexander Mann Solutions.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Alexander Mann Solutions.
