Pricing Analytics Architect (Flexible Hours)

Pricing Analytics Architect (Flexible Hours)

Full-Time 30000 - 40000 £ / year (est.) Home office (partial)
Grant Thornton UK

At a Glance

  • Tasks: Build a new pricing capability and deliver insights for business growth.
  • Company: Grant Thornton (UK) with a supportive and inclusive culture.
  • Benefits: Flexible hours, work-life balance, and a collaborative environment.
  • Other info: Join a dynamic team with opportunities for personal and professional growth.
  • Why this job: Make a real impact by developing financial models and handling large datasets.
  • Qualifications: Strong analytical skills and expertise in Excel required.

The predicted salary is between 30000 - 40000 £ per year.

Grant Thornton (UK) is seeking a professional to build a new pricing capability. This role involves delivering insights to support business pursuits, developing financial models, and maintaining pricing datasets.

The ideal candidate will possess strong analytical skills, expertise in Excel, and experience handling large datasets.

The company offers a supportive and inclusive culture promoting work-life balance and flexible working arrangements.

Pricing Analytics Architect (Flexible Hours) employer: Grant Thornton UK

Grant Thornton (UK) is an excellent employer, offering a supportive and inclusive culture that prioritises work-life balance and flexible working arrangements. Employees in the Pricing Analytics Architect role will benefit from opportunities for professional growth while contributing to innovative pricing strategies that drive business success.

Grant Thornton UK

Contact Details:

Grant Thornton UK Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Pricing Analytics Architect (Flexible Hours)

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Apply Directly through Our Website

When you find a suitable opening like Pricing Analytics Architect (Flexible Hours) at Grant Thornton UK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Pricing Analytics Architect (Flexible Hours)

Analytical Skills
Excel Expertise
Large Dataset Management
Financial Modelling
Data Insights Delivery
Pricing Strategy Development
Attention to Detail

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Grant Thornton UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Grant Thornton UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Grant Thornton UK

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Grant Thornton UK!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.