Data Analyst

Data Analyst

Full-Time 30000 - 40000 £ / year (est.) No working from home possible
Johnson Matthey Plc

At a Glance

  • Tasks: Analyse data to support sustainable solutions and tackle global challenges.
  • Company: Join JohnsonMatthey, a leader in platinum group metals with over 200 years of innovation.
  • Benefits: Enjoy competitive incentives, well-being programmes, and paid volunteering opportunities.
  • Other info: Collaborative environment with a focus on personal and professional growth.
  • Why this job: Make a real impact on sustainability while developing your analytical skills.
  • Qualifications: Experience with SQL, Excel, and data visualisation tools like PowerBI or Tableau.

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

At JohnsonMatthey, your work will matter. As a Data Analyst, you’ll join a world leader in platinum group metals with over 200 years of history. Using advanced metals chemistry, you’ll help tackle the world’s biggest challenges—cutting emissions, powering modern life, and supporting life‑saving technologies—by applying, refining and recycling metals that matter for a healthier, more sustainable, circular future.

Key Responsibilities

  • Perform data validation to ensure accuracy and consistency across finance systems.
  • Reconcile data between multiple systems and resolve discrepancies.
  • Maintain data quality through cleansing and control framework.
  • Support system enhancements through testing and data validation.
  • Collaborate with finance and technology teams to deliver automated reporting solutions.
  • Investigate data issues, identify root causes and implement improvements.

Qualifications & Skills

  • Experience using SQL, Excel and data visualisation tools such as PowerBI or Tableau.
  • Knowledge of financial systems such as SAP, Oracle or similar ERP platforms.
  • Strong understanding of data validation, reconciliation and data quality processes.
  • Strong analytical skills with attention to detail when working with complex datasets.
  • Ability to communicate technical information clearly to non‑technical stakeholders.
  • Collaborative approach with strong organisational and problem‑solving skills.

Benefits

  • Competitive annual incentive plan.
  • Employee assistance programme (Assist).
  • Paid volunteering opportunities.
  • Employee recognition programme.
  • Well‑being programmes and campaigns.

For any queries or accessibility requirements, please contact us. We will work with you to make suitable adjustments at any stage of the recruitment process. Closing date for applications: This job advertisement will be posted for a minimum of 2 weeks; early application is advised. JohnsonMatthey Plc is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, marriage or civil partnership, pregnancy or maternity, religion or belief.

Data Analyst employer: Johnson Matthey Plc

At JohnsonMatthey, we pride ourselves on being a forward-thinking employer that values innovation and sustainability. As a Data Analyst, you will be part of a collaborative work culture that not only prioritises employee well-being through comprehensive benefits like paid volunteering and recognition programmes but also offers ample opportunities for professional growth in a company dedicated to tackling global challenges. Join us in our mission to create a healthier, more sustainable future while advancing your career in a supportive environment.

Johnson Matthey Plc

Contact Details:

Johnson Matthey Plc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst

Get Involved in Data Science Meetups

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Apply Directly through Our Website

When you find a suitable opening like Data Analyst at Johnson Matthey Plc, 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 Data Analyst

SQL
Excel
PowerBI
Tableau
Data Validation
Data Reconciliation
Data Quality Processes

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 Johnson Matthey Plc, 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 Johnson Matthey Plc. 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 Johnson Matthey Plc

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 Johnson Matthey Plc!

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.