Strategic Supply Chain Analytics Analyst in London

Strategic Supply Chain Analytics Analyst in London

London Full-Time 30000 - 50000 £ / year (est.) No working from home possible
Haleon

At a Glance

  • Tasks: Analyse complex supply chain data and present insights to drive business performance.
  • Company: Leading consumer health company with a global impact.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Exciting opportunity to contribute to impactful projects in a collaborative environment.
  • Why this job: Shape the future of health while working with a dynamic global team.
  • Qualifications: Degree in Data Science or Computer Science and SQL proficiency required.

The predicted salary is between 30000 - 50000 £ per year.

A leading consumer health company is seeking a motivated Data Analyst to deliver insights to executive stakeholders. You will analyze complex data within the supply chain, presenting crucial findings to drive business performance.

Required qualifications include a degree in Data Science or Computer Science and proficiency in SQL. Ideal candidates will also have experience using data visualization tools like Power BI.

This is an exciting opportunity to contribute to a global team and shape the future of health.

Strategic Supply Chain Analytics Analyst in London employer: Haleon

As a leading consumer health company, we pride ourselves on fostering a dynamic work environment that encourages innovation and collaboration. Our employees benefit from comprehensive professional development opportunities, a supportive culture that values diversity, and the chance to make a meaningful impact on global health. Located in a vibrant area, we offer a unique blend of career growth and work-life balance, making us an exceptional employer for those looking to thrive in their careers.

Haleon

Contact Details:

Haleon Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Strategic Supply Chain Analytics Analyst in London

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 Haleon!

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 Strategic Supply Chain Analytics Analyst at Haleon.

Leverage Professional Networks

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 Haleon.

Apply Directly through Our Website

When you find a suitable opening like Strategic Supply Chain Analytics Analyst at Haleon, 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 Strategic Supply Chain Analytics Analyst in London

Data Analysis
SQL
Data Visualization
Power BI
Analytical Skills
Presentation Skills
Business Performance Analysis

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 Haleon, 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 Haleon. 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 Haleon

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 Haleon!

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.