At a Glance
- Tasks: Analyse data to improve pricing strategies and support commercial decision-making.
- Company: Join a market-leading client in Coventry with a focus on growth.
- Benefits: Competitive salary up to £50,000 and opportunities for professional development.
- Other info: Collaborative team environment with a focus on continuous improvement.
- Why this job: Make a real impact by turning complex data into valuable insights.
- Qualifications: Strong analytical skills, experience with SQL and Python required.
The predicted salary is between 36000 - 60000 £ per year.
Location: Coventry (4 days per week on-site)
Salary: Up to £50,000
Recruiting on behalf of our client, I am supporting a market-leading client in Coventry who is looking to hire a talented Data Analyst to join their growing Pricing function. This role is ideal for someone with strong analytical capability, a solid mathematical mindset, and the technical skills to turn complex data into meaningful commercial insight. The successful candidate will be embedded within a pricing team focused on improving pricing strategy, margin performance, and overall commercial decision-making.
Key Responsibilities
- Work closely with the Pricing Manager and wider commercial teams to deliver insight across pricing, margin, and product performance.
- Use advanced SQL to extract, manipulate, and optimise large datasets for analysis and reporting.
- Apply Python to build models, automate processes, and support deeper statistical or predictive analytics.
- Perform scenario modelling, price elasticity analysis, and profitability assessments to help shape pricing strategies.
- Support continuous improvement across pricing workflows through data automation and enhanced analytical processes.
Data Analyst employer: Macildowie Recruitment and Retention
Join a leading social housing organisation that is dedicated to making a meaningful impact in the community by providing affordable homes. With a predominantly remote work culture and a competitive salary of up to £60,000, employees benefit from a generous pension scheme and opportunities for professional growth within a high-performing finance team. This role not only offers flexibility but also the chance to contribute to significant development projects across the East of England and Home Counties.
Contact Details:
Macildowie Recruitment and Retention Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Brush up on your SQL and Python skills, and be ready to showcase how you've used data to drive decisions in past roles. We want you to shine!
✨Tip Number 3
Showcase your analytical prowess! Create a portfolio of projects that highlight your ability to turn complex data into actionable insights. This will give you an edge and demonstrate your skills to potential employers.
✨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’re always looking for talented individuals to join our team, so make sure you get your name in the mix!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your analytical skills, experience with SQL and Python, and any relevant projects that showcase your ability to turn data into insights.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills align with the pricing strategies mentioned in the job description. Keep it engaging and personal.
Showcase Your Technical Skills:Don’t forget to mention your technical skills prominently. Whether it's advanced SQL or Python, make sure we see how you’ve used these tools in past roles or projects to drive results.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Macildowie Recruitment and Retention
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to extract insights or automate processes. This will show that you can hit the ground running in the role.
✨Understand Pricing Strategies
Familiarise yourself with common pricing strategies and concepts like price elasticity and profitability assessments. Being able to discuss these topics confidently will demonstrate your analytical mindset and how you can contribute to the team's goals.
✨Prepare Real-World Examples
Think of specific examples from your past experience where you've successfully turned complex data into actionable insights. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewer to see your impact.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's pricing function and how they measure success. This shows your genuine interest in the role and helps you understand if it's the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
