At a Glance
- Tasks: Analyse complex data to drive strategic decisions and support insurance placements.
- Company: Join Gallagher Re, a leader in innovative reinsurance solutions.
- Benefits: Enjoy 25+ days holiday, health plans, and flexible working options.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact with data while collaborating with industry experts.
- Qualifications: Experience in data analysis, SQL, Power BI, and Azure technologies required.
The predicted salary is between 60000 - 75000 £ per year.
At Gallagher Re, we bring clarity to complexity by helping clients around the world make confident, data-driven decisions in a rapidly evolving risk landscape. Here, you’ll be part of a team that leverages world-class analytics and deep reinsurance expertise to deliver strategic advisory services and transactional excellence.
Overview
At Gallagher Re, our Data & Analytics team is at the heart of how we deliver innovation, insight, and strategic value to our clients. We combine deep industry expertise with advanced analytics to support complex insurance and reinsurance placements globally. We’re growing and looking for a Senior Analytics Data Analyst / Engineer to join our collaborative and forward-thinking team. This is a high-impact role where you will play a critical part in delivering sophisticated data analysis and engineering solutions that directly support the placement of insurance and reinsurance programmes across a range of lines of business and territories.
How you'll make an impact:
- Partner with brokers and clients to understand data requirements and provide advanced, insight-driven analysis to support placements.
- Analyse large, complex datasets to uncover insights on trends such as claims performance, loss ratios, and market dynamics.
- Develop and maintain scalable data pipelines using Azure tools (including Azure Data Factory).
- Design and build intuitive dashboards and analytical tools to support strategic decision-making.
- Lead and embed robust data quality controls to ensure accuracy, consistency, and completeness.
- Contribute to the development of bespoke client data models.
- Stay current with emerging data technologies, tools, and industry trends.
- Translate complex technical findings into clear, accessible insights for non-technical audiences.
About You
- Proven experience in a senior analytics, data analyst, or data engineering role within the insurance or reinsurance industry.
- Experience working with Underwriting Workbenches.
- Fantastic technical capability in data analysis and engineering, including: SQL, Python, Power BI, Advanced Excel.
- Experience building and managing data pipelines.
Desirable
- Experience with the Microsoft Azure ecosystem, including: Azure Data Lake, Azure Data Factory, Azure Analysis Services.
Core Capabilities
- Excellent problem-solving mindset with attention to detail.
- Excellent communication skills, with the ability to explain complex concepts clearly.
- Ability to manage multiple priorities in a fast-paced, deadline-driven environment.
- Comfortable working both independently and as part of a collaborative team.
Compensation and benefits
On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:
- Minimum of 25 days holiday, plus bank holidays, and the option to buy extra days.
- Defined contribution pension scheme, which Gallagher will also contribute to.
- Life insurance, which will pay 4x your basic annual salary, which you can top-up to 10x.
- Income protection, we’ll cover up to 50% of your annual income, with options to top up.
- Health cash plan or Private medical insurance.
Other benefits include:
- Three fully paid volunteering days per year.
- Employee Stock Purchase plan, offering company shares at a discount.
- Share incentive plan, HMRC approved, tax effective, stock purchase plan.
- Critical illness cover.
- Discounted gym membership, with over 3,000 gyms nationally.
- Season ticket loan.
- Access to a discounted voucher portal to save money on your weekly shop or next big purchase.
- Emergency back-up family care and many more.
We value inclusion and diversity
Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organisation. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities.
Senior Data Analyst-(Re)Insurance- SQL, Power BI, Azure technologies employer: Gallagher Re
Gallagher Re is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to explore new ideas and take ownership of their careers. With a commitment to employee growth, competitive benefits including generous holiday allowances, health plans, and stock purchase options, as well as a focus on inclusion and diversity, Gallagher Re provides a supportive environment where your contributions truly matter. Located in the vibrant heart of London, this role offers the unique advantage of flexible working arrangements while being part of a forward-thinking team dedicated to delivering impactful data-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst-(Re)Insurance- SQL, Power BI, Azure technologies
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Gallagher Re!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst-(Re)Insurance- SQL, Power BI, Azure technologies at Gallagher Re.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Gallagher Re.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst-(Re)Insurance- SQL, Power BI, Azure technologies at Gallagher Re, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst-(Re)Insurance- SQL, Power BI, Azure technologies
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Gallagher Re, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Gallagher Re. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Gallagher Re
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Gallagher Re!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
