Advance your career with Munich Re as a Data Analyst in London, a leading opportunity for professionals eager to transform complex data into actionable business insights. This full-time, hybrid role combines the flexibility of remote working with the collaboration and exposure of an in-office environment, giving you the best of both worlds in a global reinsurance leader.
As a Data Analyst, you will work with large datasets, applying your expertise in data processing, handling, and analysis to uncover trends, patterns, and opportunities that support strategic business decisions. You will utilise advanced tools including SQL scripting, Python, R, Power BI, and MS Excel, performing complex functions to produce insightful reports and dashboards for key stakeholders.
The Ideal candidate possesses exceptional numerical and analytical skills, meticulous attention to detail, and the ability to translate complex data into clear, actionable insights. You will collaborate with diverse, cross-functional teams in a dynamic environment, contributing directly to business growth and operational excellence.
This role offers a unique chance to grow your data analytics career at Munich Re, gaining hands-on experience with cutting-edge analytics tools, real-world business challenges, and a supportive, innovative workplace in London.
Position: Data Analyst
Salary: £24,000 to £29,000 per year
Job Type: Bank
Location: London (Hybrid)
About UK Life Branch:
With the office in London, it forms the Life 1 division of Munich Re. The UK life market is one of the, if not the, most competitive life markets in the world. We understand that Life insurers work in a dynamic market where medical progress, demographic trends and changing lifestyles are constantly giving rise to new risk landscapes. This demanding situation is made even more challenging by changing laws and regulations and ever tougher competition. So, we need a smart strategy and structure in order to succeed.
At UK & Ireland Life we have three pillars to our business strategy, protection, longevity and reinsurance structuring. All three are key to the success of our business so it’s important to look at the big picture. In terms of clients, we trust them as experts of their business and provide them with the financial strength of the world’s largest reinsurer, global expertise, and sharp pricing so that they are both competitive and profitable.
About the role:
Working within the UK Data Management Team, responsible specifically for LH1 Valuation Data, you will work with our Lead Analysts to ensure data updates & delivery of LH1 Valuation Data.
This will include being responsible for and having oversight of translating and validating client data, production of CLR ready Valuation Portfolio data and producing data analysis and reports for internal clients (Valuation team) regarding valuation portfolio data.
Key Responsibilities:
- Develop data transformation scripts to produce Valuation portfolio data.
- Data cleansing, profiling, mapping and mining of Valuation portfolio data.
- Support and deliver multiple ad-hoc reporting needs for internal clients regarding the Valuation portfolio data
- Support business requirement gathering activities, especially on their data and reporting needs that relate to valuation portfolio data and how that will be utilised in wider process improvements/projects.
- Ensure client data used for Valuation portfolio delivery is stored in consistent format and in line with treaty arrangements.
- Support processes and/or tools used in the team about the Valuation portfolio delivery.
- Determine, monitor and reporting the availability, quality and consistency of client data used in Valuation Portfolio deliveries.
- Liaison with internal clients to understand data content to maximise the benefits to the business, uncovering possible weaknesses and working for their correction.
- Gather, understand and document detailed requirements for data using appropriate tools and techniques, and ensure these are agreed at all levels throughout the business.
- Manage own work priorities; work in a organised way.
- Manage colleagues’ expectations.
- Ensure data used in different work streams are of good quality and up to date.
- Working independently or together with colleagues.
- Produce quality written and numerical material appropriate to purpose.
Competencies:
- Business Acumen (we think big) – You understand the business’ ambition, your team’s
- Commitments and how your role contributes to this.
- Plans and aligns (we lead the ‘we’) – You plan and prioritise your work to fit with deadlines and longer-term commitments for you and your team and collaborate with others, encouraging diversity of thought.
- Action oriented (we grow with our clients) – You take on new tasks, opportunities and challenges with a keen interest. You have an appetite to learn and embrace new ways of working in order to improve efficiencies and effectiveness.
- Self-development (we care and dare) – You demonstrate enthusiasm by seeking new ways to grow and be challenged, through both formal and informal development opportunities.
- Communicating Effectively (we are clear and authentic) – You openly listen to the ideas of others,
- Seek regular feedback to develop, consider the best method for communicating and ask for support and advice when unsure.
Key Skills & Experience:
Essential:
- Data Processing / Handling and Data Analysis skills.
- SQL Scripting, R, Python, Power BI, Advanced MS excel (can perform complex functions).
- High level of numerical and analytical skills.
- Can investigate data issues, apply cost benefit analysis and resolve.
- Remote working set-up.
Desirable:
- Understanding of Insurance / Reinsurance Business
- Experience working with relational databases (Oracle, SQL etc)
Personal Attributes:
- Communicates clearly and effectively, and approaches challenges with a solution-focused mindset
- Can take responsibility for delivery of client requirements
- Demonstrates strong organisational skills, with the ability to manage multiple responsibilities and adapt priorities to meet evolving needs.
Desired Qualifications and Educational Background:
- A Level Computer Science / Computing / Mathematics / Business Studies (or related subject or relevant equivalent).
- Qualified or working towards a degree / apprenticeship in Computer Science / Data Analyst (or relevant equivalent).
Benefits
- You will be rewarded with a great compensation package, on target bonus, 25 days annual leave with the option to purchase more along with private medical insurance and employers’ contributory pension of 10%. We are one of the few employers to offer fully paid 6months family leave for times when you need it the most.
Diversity, Equity & Inclusion
At Munich Re, embracing the power of differences is at the core of who we are. We believe diversity fosters resilience and innovation and enables us to act on our purpose of helping humankind act braver and better. We recognise diversity can be multi-dimensional, intersectional, and complex, so we want to build a diverse workforce that includes a wide range of racial, ethnic, sexual, and gender identities; economic and geographic backgrounds; physical abilities; ages; life, school, and career experiences; and political, religious, and personal beliefs. Additionally, we are committed to building an equitable and inclusive work environment where this diversity is celebrated, valued, and has equitable opportunities to succeed.
If you are excited about this role but your experience does not align perfectly with everything outlined, or you don’t meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for!
All candidates in consideration for any role can request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact.
You will demonstrate and role model inclusive behaviour and encourage your colleagues to play an active role in creating an inclusive culture as well.
You will treat your colleagues and sales and business partners fairly and with respect.
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Application Process
To apply for this role, PLEASE VISIT HERE
Application Deadline
Open until filled