Pricing Analytics Manager

Pricing Analytics Manager

Full-Time 55000 - 65000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Manage pricing data and develop analytical models to optimise pricing strategies.
  • Company: Join a forward-thinking organisation focused on data-driven decision-making.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and collaboration.
  • Why this job: Make a real impact by transforming complex data into actionable insights.
  • Qualifications: Experience in data management and analytics, with strong problem-solving skills.

The predicted salary is between 55000 - 65000 £ per year.

About The Role

The Pricing Analytics Manager is responsible for developing the data, analytical capabilities, and decision-support tools that underpin the organisation’s pricing strategy. The role manages pricing-related data sources, builds analytical models, and provides insights that enable the business to optimise pricing decisions across products, channels, and customers. Working closely with the Category Pricing, Channel Pricing, and Network Pricing teams, the Pricing Analytics Manager ensures that pricing strategies are supported by robust data analysis, actionable insights, and scalable analytical tools. The role also plays a key part in developing pricing optimisation capabilities, leveraging latest analytical techniques and technologies to improve price realisation, margin performance, and commercial decision-making. The position combines data management, analytics, and commercial insight, translating complex pricing data into clear recommendations that support profitable growth.

Key Responsibilities

  • Manage and maintain the data infrastructure supporting pricing analysis, ensuring accuracy, consistency, and accessibility of pricing-related data.
  • Develop and maintain datasets covering sales transactions, pricing levels, customer behaviour, cost structures, and competitive pricing.
  • Utilise tools such as SQL and data management platforms to extract, transform, and structure data for analysis.
  • Work with IT and data teams to ensure pricing data is integrated effectively across systems.

Pricing Analytics Manager employer: GSF Car Parts Limited

As a leading employer in the field of pricing analytics, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous training opportunities and a culture that values data-driven decision-making. Located in a vibrant area, our team enjoys a supportive atmosphere where analytical skills are honed, and impactful contributions are recognised, making it an ideal place for professionals seeking meaningful and rewarding careers.
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Contact Detail:

GSF Car Parts Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Pricing Analytics Manager

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend relevant events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your analytical capabilities and how you've used data to drive pricing decisions in the past. This will give you an edge when discussing your experience in interviews.

✨Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on articulating how your analytical skills can directly impact pricing strategies and business growth.

✨Tip Number 4

Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your talents. Plus, it shows us you're genuinely interested in joining our team!

We think you need these skills to ace Pricing Analytics Manager

Data Management
Analytical Skills
SQL
Pricing Strategy Development
Data Analysis
Model Building
Commercial Insight
Pricing Optimisation
Data Integration
Attention to Detail
Problem-Solving Skills
Communication Skills
Technical Aptitude
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Pricing Analytics Manager role. Highlight your experience with data management and analytics, and don’t forget to showcase any relevant tools you’ve used, like SQL. We want to see how your skills align 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 strategy and how your analytical skills can contribute to our team. Keep it engaging and make sure to connect your past experiences to the responsibilities outlined in the job description.

Showcase Your Analytical Skills: In your application, be sure to highlight specific examples of how you've used data to drive decisions in previous roles. We love seeing real-world applications of analytical techniques, so don’t hold back on sharing your successes!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!

How to prepare for a job interview at GSF Car Parts Limited

✨Know Your Data Tools

Familiarise yourself with SQL and any data management platforms mentioned in the job description. Be ready to discuss how you've used these tools in past roles to manage and analyse pricing data.

✨Showcase Analytical Skills

Prepare examples of how you've developed analytical models or provided insights that influenced pricing strategies. Use specific metrics or outcomes to demonstrate your impact on previous projects.

✨Understand Pricing Strategies

Research common pricing strategies and optimisation techniques. Be prepared to discuss how you would apply these strategies in the context of the company's products and market.

✨Communicate Clearly

Practice translating complex data into simple, actionable insights. During the interview, focus on how you can convey your findings to non-technical stakeholders, as this is crucial for supporting profitable growth.

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