MI and Data Analyst - Multi-Lines Insurance

Collinson
London
1 week ago
Create job alert

We use our expertise and products to craft customer experiences. Our range of services helps global brand acquire, engage and retain choice-rich customers.

© 2023 Collinson International Limited. Registered in England & Wales under registration No. 2577557
Registered address : 3 More London Riverside, London, SE1 2AQ, United Kingdom.

Collinson is the global, privately-owned company dedicated to helping the world to travel with ease and confidence. The group offers a unique blend of industry and sector specialists who together provide market-leading airport experiences, loyalty and customer engagement, and insurance solutions for over 400 million consumers.

Collinson is the operator of Priority Pass, the world’s original and leading airport experiences programme. Travellers can access a network of 1,500+ lounges and travel experiences, including dining, retail, sleep and spa, in over 650 airports in 148 countries, helping to elevate the journey into something special. We work with the world’s leading payment networks, over 1,400 banks, 90 airlines and 20 hotel groups worldwide.

We have been bringing innovation to the market since inception – from launching the first independent global VIP lounge access Programme, Priority Pass to being the first to sell direct travel insurance in the UK through Columbus Direct and creating the first loyalty agency of its kind in the travel sector with ICLP. Today we still invest heavily in innovation to ensure that we continue to deliver superior customer experiences.

Key clients include Mastercard, American Express, Cathay Pacific, British Airways, LATAM, Flying Blue, Accor, EasyJet, HSBC, Chase, HDFC.

Our mission is focused on doing good beyond profit, which for us means we seek out opportunities for our people to share in our success and that we give back to the communities and people within which we work.

Never short of ambition, the success of our business is delivered through the diverse and talented team of over 2,200 global colleagues.

Purpose of the job

This is an opportunity to work closely with and support the pricing and underwriting strategy and development of the current portfolio and new business within Multi-Lines.

The role will be part of a multi-disciplined commercial and technical team with the potential to have a client facing aspect to it that includes a range of audiences and levels of seniority.

Key Responsibilities 

  • Production of regular MI reports for both internal and external customers, for example monthly performance trackers and client presentations, across the Multi-Lines Insurance line of business (LOB)
  • Ensure all data used is current and accurate and act as the primary point of contact for data related issues and queries for the Multi-Lines Insurance LOB
  • Building management information outputs for monitoring key performance indicators.
  • Presenting modelling outputs, justifying results in business language to a range of audiences, including senior stakeholders
  • Work with key stakeholders to ensure all requirements gathering and analysis tasks are accurately planned within overall agreed timeframes
  • Work with stakeholders (both internal and external) to elicit requirements for data to support the Multi-Lines Insurance LOB
  • Work with Development, QA and Production Support teams to communicate, verify, and support testing and data related functionality changes
  • Manage downstream data quality issues with Underwriters, Commercial teams, and Partners
  • Stewardship of all data for Multi-Lines Insurance LOB

Knowledge, Skills and Experience Required

  • Microsoft Office, especially Excel, essential
  • Experience of Microsoft Power BI desired
  • Minimum 2 years’ experience working with data in general insurance
  • Collaborative stakeholder skills to proactively engage and bring together process, functional and commercial owner
  • Comfortable working on their own initiative to support the whole team in achieving success
  • Strong focus on delivery, cutting across different job levels and departments
  • Ability to manage multiple stakeholders internally and externally
  • Effective relationship builder
  • Strong communication skills

Collinson is an equal opportunity employer and welcomes differences in all their forms including: colour, race, ethnicity, gender identity, sexual orientation, neurodivergence, family status, age, individuals with disabilities and people from all backgrounds, cultures and experiences as we strongly believe this contributes to our on-going success.

We are focused on continually evolving our purpose driven, high performing culture, providing an environment where our people have the opportunity to achieve their full potential and do interesting and meaningful work. Our company values are: Take Action, Do the right thing, One team and Be insight led. These help guide everything we do internally in terms of how we think, act and interact, right through to how we deliver value to our customers and clients.

In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).

If you need any extra support throughout the interview process, then please email us at

Related Jobs

View all jobs

Data Science Analyst

Advanced Excel - Data Analyst

Insurance Product and Data Analyst (Accident & Health)

Data Analyst - FinanceOps

Senior Data Services Manager

Senior Data Services Manager

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.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

Career Paths in Machine Learning: From Entry-Level Roles to Leadership and Beyond

Machine learning has rapidly transformed from an academic pursuit to a cornerstone of modern technology, fueling innovations in healthcare, finance, retail, cybersecurity, and virtually every industry imaginable. From predictive analytics and computer vision to deep learning models that power personalisation algorithms, machine learning (ML) is reshaping business strategies and creating new economic opportunities. As demand for ML expertise continues to outstrip supply, the UK has become a vibrant hub for machine learning research, entrepreneurship, and corporate adoption. Whether you’re just starting out or have experience in data science, software development, or adjacent fields, there has never been a better time to pursue a career in machine learning. In this article, we will explore: The growing importance of machine learning in the UK Entry-level roles that can kick-start your ML career The skills and qualifications you’ll need to succeed Mid-level and advanced positions, including leadership tracks Tips for job seekers on www.machinelearningjobs.co.uk By the end, you’ll have a clear view of how to build, grow, and lead in one of the most exciting fields in modern technology.