Hybrid Commercial Pricing & Analytics Analyst in Walton-on-Thames

Hybrid Commercial Pricing & Analytics Analyst in Walton-on-Thames

Walton-on-Thames Full-Time 29700 - 36300 £ / year (est.) Hybrid
Kia UK

At a Glance

  • Tasks: Support commercial pricing and competitor analysis while maintaining pricing tools and generating reports.
  • Company: Join Kia UK, a leading automotive brand with a focus on innovation.
  • Benefits: Enjoy a hybrid work environment, learning opportunities, and skill development in analytics.
  • Other info: Dynamic role with opportunities to contribute to various Commercial initiatives.
  • Why this job: Make an impact in the automotive industry while growing your analytical skills.
  • Qualifications: Motivated candidates with a passion for analytics and data interpretation.

The predicted salary is between 29700 - 36300 £ per year.

Kia UK is seeking a motivated Analytics candidate to support commercial pricing and competitor analysis from our Walton-on-Thames Head Office.

The role involves maintaining pricing tools, generating reports, and updating data across the Kia website and programs.

You will work in a hybrid environment with opportunities to learn, grow, and contribute to various Commercial initiatives while developing your skills in analytics and data interpretation.

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Hybrid Commercial Pricing & Analytics Analyst in Walton-on-Thames employer: Kia UK

Kia UK Bolton is an excellent employer, offering a dynamic work environment where teamwork and innovation thrive. With a focus on employee growth, we provide ongoing training and development opportunities to ensure our technicians stay at the forefront of automotive technology. Our commitment to a supportive culture and competitive benefits makes us a rewarding place to build your career in the automotive industry.

Kia UK

Contact Details:

Kia UK Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Commercial Pricing & Analytics Analyst in Walton-on-Thames

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Kia UK!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Hybrid Commercial Pricing & Analytics Analyst at Kia UK.

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Kia UK.

✨Apply Directly through Our Website

When you find a suitable opening like Hybrid Commercial Pricing & Analytics Analyst at Kia 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 Hybrid Commercial Pricing & Analytics Analyst in Walton-on-Thames

Analytical Skills
Data Interpretation
Pricing Tools Management
Report Generation
Competitor Analysis
Attention to Detail
Data Updating

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 Kia 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 Kia 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 Kia 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!

✨Showcase Your Projects

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 Kia 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.