At a Glance
- Tasks: Build and operate analytics solutions that drive business value and improve decision-making.
- Company: Join Munich Re, a leader in specialty insurance with a supportive culture.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Embrace diversity and contribute to sustainable initiatives in a dynamic workplace.
- Why this job: Make a real impact with cutting-edge analytics and mentor future developers.
- Qualifications: BSc in relevant field and strong experience in data solutions and Power BI.
The predicted salary is between 63000 - 77000 £ per year.
At Munich Re Specialty – Global Markets (MRS-GM), it is our ambition to become the leading Primary Specialty Insurance provider, underpinned by an effective and adaptable strategy, superior products and industry leaders working in a supportive environment to achieve this. At the heart of our success is a strong culture where people are encouraged to be present, bold and curious, allowing them to achieve their individual goals.
As Senior BI Developer, you build and operate production-grade reporting and analytics that convert business demand into measurable commercial value. You translate requirements into scalable Power BI and data solutions that improve decision quality, reduce manual effort and shorten time-to-insight. You sit at the intersection of delivery and business-as-usual: you keep day-to-day reporting reliable and trusted while building forward-looking capability, including predictive and AI-assisted analytics that improve business performance over time. As the senior developer in the team, you set technical standards, take on the most complex and high-visibility builds, and mentor other developers — raising the quality and consistency of analytics delivery across the team.
Role Overview
- Delivery: Build and deploy analytics products from prototype to production, aligned to business priorities and value.
- Data engineering: Develop scalable pipelines and models that reduce manual intervention and support consistent, trusted reporting.
- Reporting product build: Create reusable, well-modelled datasets and dashboards that avoid duplication and reduce the cost of change.
- Stakeholder engagement: Define requirements in terms of business outcomes so outputs answer real commercial questions.
- Adoption: Drive uptake so products are actively used in decisions, reducing offline analysis and tactical reporting.
- BAU and reliability: Keep day-to-day reporting accurate, performant and trusted.
- Continuous improvement: Improve delivery speed through automation, standardisation and strong DevOps practice.
- Forward-looking analytics: Develop capability beyond reporting into predictive and AI-assisted analytics (forecasting, scoring, decision support).
- Technical leadership: Set BI development standards and mentor junior developers.
Knowledge and Skills
- A BSc or higher in Computer Science, Mathematics, Economics or a related discipline, or relevant professional experience.
- CII qualification or working towards one (desirable).
Essential skills & experience
- Strong communication skills, able to translate technical concepts into clear business insight.
- Proven experience delivering data and analytics solutions in agile environments, with senior-level autonomy on complex builds.
- Advanced Power BI capability (semantic modelling, DAX, dataflows) and data-visualisation expertise.
- Strong SQL and data modelling skills, building scalable and performant solutions.
- Experience with modern data platforms (Databricks lakehouse, Azure cloud data ecosystem).
- Ability to build trusted, well-governed datasets with strong data-quality and validation practices.
- Proactive delivery mindset, managing priorities, dependencies and stakeholder expectations effectively.
- Understanding of analytics beyond reporting, including predictive analytics, statistical modelling or machine-learning concepts.
- Insurance or financial services experience (CII or working towards, desirable).
Diversity, Equity & Inclusion
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. 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.
Learning and innovating today, striving for sustainable societies and business tomorrow. At Munich Re Specialty – Global Markets our approach to ESG is underpinned by our desire to seize business opportunities and to nurture a stimulating and inclusive work environment. Our ESG strategy aims to deliver holistic impacts across environmental, social and governance topics including supporting a number of local initiatives within our community and offering volunteering opportunities for colleagues. Learn more about sustainability at Munich Re – choose your impact!
Senior Business Intelligence Developer in Manchester employer: Munich Re Specialty
At Munich Re Specialty – Global Markets, we pride ourselves on being an exceptional employer that fosters a culture of support, innovation, and professional growth. Our commitment to diversity, equity, and inclusion ensures that every employee feels valued and empowered to achieve their goals, while our comprehensive benefits package, including generous annual leave and a robust pension scheme, reflects our dedication to employee well-being. Located in a dynamic environment, the Head of Capital role offers unique opportunities to lead a talented team and make a significant impact within the insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Intelligence Developer in Manchester
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Munich Re Specialty!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Senior Business Intelligence Developer in Manchester
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Munich Re Specialty, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Munich Re Specialty
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Munich Re Specialty’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
