Data Transformation Analyst (Pricing)

Data Transformation Analyst (Pricing)

Entry level 40000 - 50000 £ / year (est.) No working from home possible
Chaucer Group

At a Glance

  • Tasks: Support the Actuarial pricing team with data transformation and analytics projects.
  • Company: Join a diverse and innovative company committed to valuing differences.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Dynamic work environment with excellent career development opportunities.
  • Why this job: Make an impact by transforming pricing models and collaborating with talented teams.
  • Qualifications: Strong IT skills, knowledge of SQL or Python, and a degree in a related field.

The predicted salary is between 40000 - 50000 £ per year.

To provide support to the Actuarial pricing team, including in respect of strategic projects, model and MI/analytics development and other key pricing plan deliveries, Pricing Transformation workstream, including the testing of new pricing model & data development; and assisting in ongoing support to existing models. This role will involve close collaboration with BI developers, pricing software (RuleBook) configurators, underwriting teams across the business, and divisional actuaries. The successful applicant will have strong technical data development skills and the ability to translate business requirements into developer requests. They will also be able to demonstrate project management and communication skills, providing effective support across multiple workstreams. The role will be located within the Actuarial pricing team in London and work collaboratively with underwriting teams under the guidance of senior pricing actuaries leading on Chaucer’s Pricing Transformation and the Pricing Data and Analytics initiatives. No prior actuarial experience is required.

Responsibilities

  • Pricing Technology Support: support pricing model transformation from Excel to RuleBook, oversee developers, clarify model functionality, carry out end-to-end user testing, gather feedback from underwriters & pricing actuaries, and embed usage as part of the platform roll-out.
  • Provide underwriters with ad-hoc technical support for RuleBook, triage issues and allocate them to the correct teams for resolution.
  • Data Pipelines: assist with production and testing of relevant pricing data extracts and pipelines, perform data manipulation tasks including generating data dictionaries for pricing models, produce real-time data extracts using PowerPivot, and scrape historical data from pricing models to migrate into RuleBook for renewals and Insight dashboard exhibits. Take ownership of scraping data from historical pricing models, validating this data, preparing for and completing UW sign-off, and transforming it into the appropriate structure to be ingested into the relevant databases.
  • Analytics: build Pricing Insights dashboards in Excel and visualisation tools (e.g., PowerBI) that visualise real-time pricing data. Ensure data used for Data Models & Insight dashboards reconciles with relevant sources to ensure accuracy and reliability; manage others' input and testing to provide this assurance. Develop and support pricing and data management activities in collaboration with senior pricing actuaries in the team.
  • General: work collaboratively with underwriters, the pricing team and underwriting management; assist other pricing team activities as required.

Requirements

  • Strong IT skills, including knowledge of Excel.
  • Demonstrated knowledge of a data processing language such as SQL or Python.
  • Preferred: experience developing and considering database structures, data flows and use of data, ideally in a London Market pricing setting.
  • Experience accessing and reading VBA for Excel.
  • Experience with dashboarding platforms such as PowerBI or Tableau.

Education & Experience

  • 2.1 or 1st degree in Maths or Computer Science related subject (including Physics, Engineering, Statistics) or equivalent demonstrated experience.
  • 3 or more ‘A’ levels, including Maths.

Personal Skills

  • Ability to translate business requirements into technical instructions.
  • Strong stakeholder and project management skills; ability to plan and organise work to meet targets and deadlines.
  • Strong interpersonal, verbal and written skills.
  • Intellectually curious and results-oriented with a strong sense of responsibility.
  • Attention to detail, self‑motivated, hard-working and committed.
  • Ability to collaborate, work as a team managing downwards and upwards, and communicate with staff at all levels.

Equalities Statement

Chaucer is committed to diversity, actively values difference and respects people regardless of the protected characteristics outlined in the Equality Act 2010.

Data Transformation Analyst (Pricing) employer: Chaucer Group

Chaucer is an exceptional employer that fosters a collaborative and inclusive work culture, particularly within the Actuarial pricing team in London. Employees benefit from strong support for professional growth, with opportunities to engage in strategic projects and cutting-edge data transformation initiatives. The company values diversity and encourages innovation, making it an ideal place for those seeking meaningful and rewarding careers in data analytics and pricing.

Chaucer Group

Contact Details:

Chaucer Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Transformation Analyst (Pricing)

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working in pricing or data analytics. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data transformation projects or any dashboards you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common technical questions related to SQL, Python, and Excel. We want you to feel confident discussing your experience and how it relates to the role of a Data Transformation Analyst.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data Transformation Analyst (Pricing)

Data Development
Excel
SQL
Python
RuleBook
PowerPivot
PowerBI

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Transformation Analyst role. Highlight your technical data development skills and any relevant experience with pricing models or data analytics.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Mention specific projects or experiences that demonstrate your ability to translate business requirements into technical instructions and your strong communication skills.

Show Off Your Technical Skills:Don’t forget to mention your proficiency in tools like SQL, Python, and Excel. If you’ve worked with dashboarding platforms like PowerBI or Tableau, make sure to include that too. We love seeing candidates who can hit the ground running!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you’re genuinely interested in joining our team!

How to prepare for a job interview at Chaucer Group

Know Your Data Inside Out

Make sure you brush up on your data processing skills, especially in SQL and Python. Be ready to discuss how you've used these languages in past projects or coursework, as this will show your technical prowess and ability to translate business needs into developer requests.

Familiarise Yourself with Pricing Models

Since the role involves transforming pricing models from Excel to RuleBook, it’s crucial to understand the basics of pricing models and how they function. Research common challenges faced during such transformations and think about how you would approach them.

Showcase Your Collaboration Skills

This position requires close collaboration with various teams, so be prepared to share examples of how you've successfully worked with others in the past. Highlight your project management experience and how you’ve effectively communicated with stakeholders at different levels.

Prepare for Technical Questions

Expect questions that test your analytical thinking and problem-solving abilities. You might be asked to explain how you would handle specific data manipulation tasks or how you would ensure the accuracy of data in dashboards. Practise articulating your thought process clearly and confidently.