Data Analyst

Munich Re
London
1 week ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data analyst

Data Analyst

Data Analyst

Bell & Clements (B&C) is a leading expert in understanding and connecting US coverholders and brokers to flexible and innovative insurance solutions. We are also a registered Lloyd’s Broker. As a wholly owned subsidiary of Munich Re, we have access to the expertise, products and risk appetite of one of the largest and most successful insurance groups in the world.We are specialists in offering expertise in underwriting, broking and capacity management for US Excess and Surplus (E&S) lines insurance solutions. The unique combination of broking and underwriting divisions provides the ability to quote and bind risks through inhouse binding authorities, while providing customers with access to Lloyd’s, London Market companies, and Munich Re owned capacity in Germany and the US.

Why join us?
We are a responsible employer, with a reputation for innovation and adding value in the insurance distribution chain. As a wholly owned subsidiary of Munich Re, we have access to the expertise, products, risk appetite and career development opportunities of one of the largest and most successful insurance groups in the world. As our business continues to grow, we are committed to expanding our team and provide development opportunities to ensure we are always supporting our people in their career journey. Our talent pool makes us who we are, and our inclusive culture means we are looking to continue to build our team with broad expertise, diverse backgrounds, and ambitious employees. Being part of Bell & Clements provides access to multiple health and wellbeing benefits, work-life balance initiatives (including hybrid working), financial wellbeing packages as well as training, development and career opportunities.

The Role – Data Analyst (Broking)

An exciting opportunity to join an innovative Lloyd's of London insurance broker based in the City of London. You will join our Data Analyst team and leverage our unique data warehouse and real-time data capture capabilities to build modern solutions to deliver data analytics to both our internal Broking, Underwriting and Claims teams as well as our clients and the London and Company Insurance Markets. As a Data Analyst you must have a passion for data, accuracy and efficiency. This varied role is based within the Information Technology department, and working closely with the Broking department, to provide analytical support for presentation to Underwriters and Clients aiming to enhance performance and aid the placement of new and renewal business.


General Duties and Responsibilities

  • Production and presentation of statistical and data analysis relating to the performance of the business including distribution to Underwriters and Clients.
  • To continually review and assess data to ensure the Department has all the information it requires, to ensure data is accurate and current.
  • To liaise with Underwriters and Clients to enhance the performance of the business.
  • To provide assistance to the Chief Broking Officer and Head of Broking as required in order to achieve the departmental objectives.
  • Undertake special tasks and lead on small projects as agreed with your line manager. Clarity about such tasks and projects will be provided over time.
  • Liaising with all internal departments to ensure data and reporting needs are met.
  • Report any data and reporting issues immediately to the line manager or the Chief Innovation Officer.
  • Evaluate emerging technologies by building analytical prototypes and solutions based on business requirements to enhance the analytical capabilities of the company.

Key Skills and Experience

  • Professional experience in Broker/Data Analytics role within London or Company Insurance Market (broking or syndicates).
  • Degree with numerical/computing components or graduate calibre with strong experience.
  • Excellent organisational skills and a track record of working in a team.
  • Analytical minded and detail oriented with problem solving capabilities.
  • Interpersonal, team building, written and verbal communication skills required.
  • Advanced Microsoft Excel skills necessary.
  • Tableau or relevant Business Intelligence presentation layer tool experience (e.g. QlikView, Domo or Microsoft Power BI) desirable.
  • CII certification advantageous.

Benefits
This position is offered on a Permanent basis. Annual salary will be dependent on the skills and experience of the successful candidate. Annual leave - 25 days per year (plus bank holidays), increases with length of service. Health & Wellbeing – our offering includes private medical insurance for employees, their partners and their families, a Digital GP service and an annual allowance (currently £550) any activities which supports health and wellbeing. Hybrid and remote working – to support your work balance we have introduced hybrid working. You will be provided with support to work from home up to a maximum of three days per week. Flexible working hours – the opportunity to flex your working hours. Professional Qualification Support – (discretionary) financial support covering the cost of professional qualifications, including institute membership, exams, study materials and completion bonuses. Generous gender-neutral family leave policy - employees with 26 weeks’ continuous service at the Expected Week of Childbirth are eligible to receive 26 weeks full pay. Team fun – warm and social culture with regular get togethers.


Equal Opportunities
Bell and Clements are an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or parental status.

At Munich Re, Diversity, Equity, and Inclusion foster innovation and resilience and enable us to act braver and better. Embracing the power of DEI is at the core of who we are. 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.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.