Senior Pricing Analyst - Data

Job Title: Senior Pricing Analyst – Data

Location: Manchester, Stoke, London, or Peterborough (flexible hybrid working)

We support remote working with occasional travel to our offices.

Overview

Are you ready to use your technical expertise to shape pricing strategies through data? At Markerstudy, we’re on a mission to redefine how we deliver value to our customers and the business. This is your opportunity to join our Pricing team and play a key role in managing and optimising data solutions that underpin our pricing capability.

Why this role matters

As Senior Pricing Analyst – Data, you’ll be responsible for managing all aspects of data usage within Pricing, ensuring data quality, accuracy, and accessibility across systems and platforms. You’ll champion best practices in data management, support analytical and modelling needs, and coach team members to deliver actionable insights that drive commercial outcomes.

What you’ll do:

  • Manage data flows across pricing systems, data warehouses, and Azure Databricks.
  • Query large datasets to extract and manipulate data for analysis and modelling.
  • Establish and embed best practices for data management and governance.
  • Ensure data quality through regular assurance checks and compliance with policies.
  • Support data migrations and integrations aligned with business and project needs.
  • Coach and mentor analysts on data-related solutions and technical issues.
  • Fully utilise available data sources and identify new opportunities for insight.
  • Deliver analytical data for pricing purposes such as modelling and optimisation.
  • Communicate outputs and strategy to technical and non-technical stakeholders.
  • Represent Pricing on cross-functional projects and proactively identify impacts.

What we’re looking for:

  • Strong experience with SQL, Python and relational databases.
  • Good knowledge of Azure Databricks and modern data technologies.
  • Expertise in data management, modelling, and governance.
  • Commercial awareness of data’s role in business performance.
  • Ability to thrive in a fast-paced environment and deliver results.
  • An analytical, enquiring mind with a proactive, solution oriented approach to work.
  • Desirable: Experience with R, Power BI, and understanding of UK insurance pricing practices.
  • A quantitative or technical degree and excellent communication skills.

What we offer

  • A collaborative, fast-paced environment where innovation thrives.
  • Life assurance (4x salary), and yearly bonus scheme.
  • 24 days annual leave increasing with length of service, plus bank holidays (with options to buy more)
  • Modern, vibrant offices and flexible hybrid working.
  • Clear opportunities for career progression and professional development.

About Markerstudy

Markerstudy Group is one of the UK’s leading insurance providers, known for its innovative approach and rapid growth. With over 6,000 colleagues and 8 million customers, we deliver a wide range of motor, home, pet, and specialist insurance products through well-known brands like Swinton, Carole Nash, and Marmalade.

We’re passionate about using data, technology, and creativity to make insurance smarter and more accessible. Joining our Pricing team means you’ll work across multiple areas of the business, gaining exposure to a wide variety of challenges and opportunities. You’ll be central to shaping customer pricing strategies, driving value, and influencing decisions at the heart of a dynamic, forward-thinking organisation.

As a business committed to sustainability and investing in its people, we’re proud to hold Investors in People Gold accreditation. We offer clear opportunities for career progression, professional development, and the chance to make a real impact in a growing organisation where your work truly matters.

Ready to make your mark? Apply now and help us unlock the power of data in pricing at Markerstudy.

Job Details

Company
Vermelo RPO
Location
Manchester, Lancashire, England, United Kingdom
Hybrid / Remote Options
Employment Type
Full-Time
Salary
Salary negotiable
Posted