Company Description:
Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.
At Camlin, we believe in high-quality engineering and design, allowing us to develop market-leading products and services. In short, we love creating value for our customers by solving difficult problems. As of today, the Camlin operation spans over 20 countries across the globe.
We are excited to launch our Global Early Careers Programme to Engineer Better Futures, designed to attract and develop the next generation of talent across our regions. Through a range of opportunities—including internships, placements, apprenticeships, and summer programmes—we aim to provide aspiring professionals with hands‑on experience, essential skills, and the chance to contribute to impactful projects that align with our organisational vision.
This programme reflects our commitment to fostering a diverse and dynamic workforce, investing in early‑career talent, and empowering individuals to shape the future of our industry. To apply for our Placement/Intern programme you must be in education and looking for a 1‑year fixed‑term job through your sandwich year.
1 year fixed term industrial placement
What to expect day to day:
Camlin Group is seeking a talented and driven Data Analyst to join our dynamic team. As a Data Analyst, you will play a critical role in harnessing the power of data to support strategic decision‑making and drive operational excellence.
Key responsibilities:
- Collect, organize, and analyze large datasets to identify trends, patterns, and actionable insights.
- Develop and maintain dashboards and reports using tools such as Power BI, Tableau, or similar platforms.
- Collaborate with cross‑functional teams to understand business requirements and translate them into analytical solutions.
- Perform data cleansing and validation to ensure accuracy and reliability of insights.
- Support the development of predictive models and advanced analytics to forecast trends and behaviours.
- Present findings and recommendations to stakeholders in a clear, concise manner.
- Ensure compliance with data protection regulations and maintain data confidentiality.
Essential Criteria:
- Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Computer Science, or related discipline).
- Proficiency in data analysis tools, such as Python, R, or SQL.
- Strong knowledge of data visualisation tools like Tableau, Power BI, or Excel.
- Excellent analytical and problem‑solving skills.
- Ability to communicate complex data insights to non‑technical stakeholders.
- Strong attention to detail and a commitment to accuracy.
Nice to have but not essential:
- Experience in machine learning and predictive analytics.
- Familiarity with CRM systems (e.g., Salesforce).
- Knowledge of energy or rail industries.
- Understanding of GDPR and other data protection frameworks.
Our Values
- We work together - We know that working collaboratively will help us reach our shared goals faster, so we always look for ways to help each other.
- We believe in people - Here at Camlin, our people are central to what we do and what we can achieve. And as we move towards becoming industry and customer ‘partners’ that’s even more important. We trust our team members to do their best and be supportive.
- We won’t accept the ‘way it’s always been done’ - Since Camlin’s inception, we’ve been curious, inquisitive and always want to improve. Thinking differently is in our DNA and we love solving tough challenges.
- We listen to learn - Whether it’s our customers, our markets, or each other, we ask questions and listen to the answers so we can learn and improve.
- We’re trying to do the right thing - We take responsibility for our actions and take decisions based on what’s right for people, profit, and planet.
Equal Employment Opportunity Statement
Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity, or sexual orientation.
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