Supply Chain Data Analytics & Insights Specialist

Supply Chain Data Analytics & Insights Specialist

Full-Time 35000 - 45000 £ / year (est.) No working from home possible
Porvair Filtration Group

At a Glance

  • Tasks: Analyse supply chain data to drive strategic decisions and improve performance.
  • Company: Porvair Filtration Group, a leader in filtration solutions.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on continuous improvement and innovation.
  • Why this job: Make a real impact by transforming data into actionable insights.
  • Qualifications: Strong analytical skills and experience with data visualisation tools.

The predicted salary is between 35000 - 45000 £ per year.

Porvair Filtration Group is seeking a data analyst to collect, analyse and interpret supply chain and operational data for strategic decision making.

You will develop reporting, dashboards and analytical models to provide visibility into supply chain performance and drive continuous improvement through data insights.

You will develop and maintain KPI frameworks, analyse datasets, produce regular performance reports and present insights to stakeholders.

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Supply Chain Data Analytics & Insights Specialist employer: Porvair Filtration Group

Porvair Filtration Group is an excellent employer, offering a dynamic work environment where innovation and continuous improvement are at the forefront. With a strong focus on employee development and a culture that values collaboration, you will have ample opportunities to grow your skills in a supportive setting. Located in a thriving industrial area, we provide competitive benefits and a commitment to maintaining high standards in manufacturing excellence.

Porvair Filtration Group

Contact Details:

Porvair Filtration Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Supply Chain Data Analytics & Insights Specialist

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When you find a suitable opening like Supply Chain Data Analytics & Insights Specialist at Porvair Filtration Group, 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 Supply Chain Data Analytics & Insights Specialist

Data Analysis
Reporting
Dashboard Development
Analytical Modelling
KPI Framework Development
Performance Reporting
Stakeholder Presentation

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!

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Craft a Tailored Cover Letter:For a full-time role at Porvair Filtration Group, 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 Porvair Filtration Group. 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 Porvair Filtration Group

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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Get Comfortable with Python and R

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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.