Pricing Analyst in Manchester

Pricing Analyst in Manchester

Manchester Full-Time 35000 - 45000 £ / year (est.) No working from home possible
Markerstudy Group

At a Glance

  • Tasks: Support pricing solutions and conduct in-depth analysis to influence strategic decisions.
  • Company: Dynamic insurance company with a focus on innovation and collaboration.
  • Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Mentorship opportunities available in a supportive team environment.
  • Why this job: Join a team where your analytical skills can drive impactful pricing strategies.
  • Qualifications: Experience in general insurance and proficiency in data science programming languages.

The predicted salary is between 35000 - 45000 £ per year.

Location: Peterborough, Manchester, Stoke, Southport (flexible hybrid working)

Role purpose

Responsible for supporting the delivery of pricing solutions that align with the company’s strategic goals and plans. This includes conducting in-depth analysis, developing predictive models, and influencing strategic decisions.

Key Responsibilities

  • Support the delivery of pricing solutions
  • Provide input into pricing processes, and champion continuous improvement
  • Combine pricing expertise and commercial acumen to deliver outcomes which optimise the P&L
  • Ensure all activity is compliant with pricing governance and follows established controls
  • Work closely with the Modelling & Optimisation Pricing Team to ensure pricing models/approaches meet business objectives
  • Manage relationships with key stakeholders around the business
  • Mentor and coach more junior members of the team

About you

  • Experience within general insurance preferred
  • Familiarity with retail pricing concepts
  • Experience in statistical and data science programming languages (e.g. PySpark, SQL, Python, R)
  • A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science)
  • Experience of WTW’s Radar software is preferred, but not essential
  • Good commercial acumen
  • Proficient at communicating results in a concise manner both verbally and written
  • Ability to analyse, understand and interpret data from varying sources

Pricing Analyst in Manchester employer: Markerstudy Group

VisionTrack is an exceptional employer that offers a dynamic work environment in the heart of Tunbridge Wells, where innovation meets real-world impact. As a Solutions Engineer, you'll benefit from a collaborative culture that encourages professional growth and development, with clear pathways to advance into senior roles. Join a high-growth, award-winning team dedicated to transforming fleet technology through cutting-edge video telematics and AI solutions.

Markerstudy Group

Contact Details:

Markerstudy Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Pricing Analyst in Manchester

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those who work in pricing or analytics. A friendly chat can lead to insider info about job openings and even referrals.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your experience with pricing models and data analysis. This will give you an edge during interviews and show that you mean business.

Tip Number 3

Practice makes perfect! Get ready for those tricky interview questions by doing mock interviews with friends or using online resources. The more comfortable you are, the better you'll perform when it counts.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a better shot at landing that dream role.

We think you need these skills to ace Pricing Analyst in Manchester

Pricing Expertise
Commercial Acumen
Data Analysis
Predictive Modelling
Statistical Programming (PySpark, SQL, Python, R)
Quantitative Analysis
Communication Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Pricing Analyst role. Highlight your experience in general insurance and any relevant skills in statistical programming languages like SQL or Python. We want to see how your background aligns with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about pricing solutions and how you can contribute to our strategic goals. Keep it concise but impactful – we love a good story!

Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Mention specific projects where you've conducted in-depth analysis or developed predictive models. We’re keen to see how you can influence strategic decisions with your insights!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!

How to prepare for a job interview at Markerstudy Group

Know Your Numbers

As a Pricing Analyst, you'll need to demonstrate your analytical skills. Brush up on key statistical concepts and be ready to discuss how you've used data to influence pricing decisions in the past. Prepare examples that showcase your experience with programming languages like SQL or Python.

Understand the Business

Familiarise yourself with the company's strategic goals and how pricing fits into the bigger picture. Research their current pricing strategies and think about how you can contribute to optimising their P&L. This shows you're not just a number-cruncher but also a strategic thinker.

Build Relationships

Since managing relationships with stakeholders is key, think about how you can demonstrate your interpersonal skills. Prepare to share experiences where you've successfully collaborated with others, especially in a mentoring or coaching capacity. This will highlight your ability to work well within a team.

Communicate Clearly

Being able to convey complex data insights in a simple way is crucial. Practice explaining your past projects or analyses as if you were talking to someone without a technical background. This will help you show that you can communicate effectively, both verbally and in writing.