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Munich Re Specialty

Senior Business Intelligence Developer

Manchester
Posted about 19 hours ago
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About us

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.

Please see our website for more information.

Senior BI Developer

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

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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).

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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!

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!

#BePresent #BeBold #BeCurious

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Skills

Power BI
DAX
SQL
Data Modelling
Databricks Lakehouse
Azure Cloud Data Ecosystem
Semantic Modelling
Dataflows
Predictive Analytics
Machine Learning
Agile Methodologies
DevOps
Stakeholder Engagement
Data Visualization
Technical Leadership
Data Engineering

Location

Manchester, England, United Kingdom

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