At a Glance
- Tasks: Transform data into insights that drive innovation and improve decision-making.
- Company: Join Camlin, a global tech leader revolutionising industries with cutting-edge products.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment focused on innovation and continuous improvement.
- Why this job: Make a real impact by solving complex problems with data-driven solutions.
- Qualifications: Strong analytical skills, proficiency in SQL, and experience with data analysis tools.
The predicted salary is between 35000 - 45000 £ per year.
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 now, Camlin operates in over 20 countries worldwide.
As a Data Analyst, you play a critical role in converting data into actionable insights that fuel innovation, strengthen operational decision‑making, and accelerate delivery. Supporting the Data & Delivery Lead, you will perform high‑quality analysis, build reliable datasets, and contribute to the shaping, validation, and monitoring of data solutions. Your work ensures accuracy, clarity, and integrity across the entire delivery pipeline.
RESPONSIBILITIES- Data Analysis & Insight Development
- Exploratory Analytics: Conduct detailed exploratory data analysis to identify trends, root causes, and opportunities for improvement or innovation.
- Hypothesis Testing: Support early‑stage discovery by testing hypotheses and validating assumptions through rigorous quantitative analysis.
- Insight Packaging: Translate complex findings into clear, concise insights, visualisations, and recommendations for both technical and non‑technical stakeholders.
- Data Wrangling: Prepare, clean, and transform datasets to support modelling, prototyping, and production‑ready pipelines.
- Requirements Translation: Work with the Data & Delivery Lead to convert exploratory findings into structured, well‑defined data requirements for engineering teams.
- Pipeline Validation: Assist in user acceptance testing, data validation, and quality assurance for new or enhanced data pipelines.
- Data Quality & Governance
- Quality Checks: Perform ongoing data profiling, validation, and anomaly detection to ensure data flowing into solutions is accurate, complete, and reliable.
- Issue Investigation: Identify data issues at source or within pipelines and collaborate with the Data & Delivery Lead and source owners to support remediation.
- Documentation: Maintain clear, accurate data dictionaries, lineage notes, and quality logs to support compliant, traceable data practices.
- Delivery Support & Operational Collaboration
- Work Intake Preparation: Assist with initial scoping, data feasibility assessments, and effort estimation for incoming work.
- Cross‑Team Coordination: Work closely with Strategy & Foresight, Value Realisation, and Engineering to ensure a shared understanding of data requirements and deliverables.
- Monitoring: Support the configuration, maintenance, and reporting of data pipeline monitoring dashboards and alerts.
- Strong analytical experience working with complex datasets across multiple sources.
- Proficiency in SQL and modern data analysis tools (e.g., Python, R, Power BI, or equivalent).
- Experience preparing, validating, and documenting datasets for use in analytical models, dashboards, or production systems.
- Knowledge of data quality frameworks, data governance practices, and data cleansing techniques.
- Strong communication skills with an ability to translate technical detail into meaningful insights for business stakeholders.
- Comfortable working in agile delivery environments and collaborating with engineering teams.
- We work together
- We believe in people
- We won’t accept the ‘way it has always been done’
- We listen to learn
- We’re trying to do the right thing
Equal Employment Opportunity Statement: Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital states, ancestry, physical or mental disability, gender identity or sexual orientation.
Data & Discovery Analyst in Lisburn employer: Camlin
At Camlin, we pride ourselves on being a global technology leader that fosters a collaborative and innovative work culture. As a Data & Discovery Analyst, you will have the opportunity to engage in meaningful projects that drive real-world impact across various industries, while benefiting from our commitment to employee growth through continuous learning and development. With a focus on high-quality engineering and design, we empower our team members to challenge the status quo and contribute to groundbreaking solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Discovery Analyst in Lisburn
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Camlin on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Camlin's projects and values. Show them you’re not just another candidate; you’re genuinely interested in their mission and how you can contribute to their innovative solutions.
✨Tip Number 3
Practice your data storytelling skills! Be ready to explain complex data insights in a way that’s easy to understand. This will impress both technical and non-technical folks during your interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Camlin team.
We think you need these skills to ace Data & Discovery Analyst in Lisburn
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data & Discovery Analyst role. Highlight your analytical experience and any relevant tools you've used, like SQL or Python, to show us you're the perfect fit!
Showcase Your Skills:Don’t just list your skills; give us examples of how you've used them in real-world scenarios. Whether it’s data wrangling or hypothesis testing, we want to see how you’ve turned data into actionable insights.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experiences and avoid jargon unless it's necessary. We appreciate clarity, especially when it comes to complex data findings!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Camlin
✨Know Your Data Tools
Make sure you brush up on your SQL and any data analysis tools like Python or Power BI. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Prepare for Hypothesis Testing
Since the role involves hypothesis testing, think of examples where you've tested assumptions with data. Be prepared to explain your thought process and the outcomes, as this will demonstrate your analytical skills and problem-solving abilities.
✨Translate Complex Insights
Practice explaining complex data findings in simple terms. You might be asked to present insights to non-technical stakeholders, so being able to communicate clearly is key. Use examples from your experience to illustrate how you've done this before.
✨Show Your Collaborative Spirit
Camlin values teamwork, so be ready to share experiences where you've worked closely with others, especially in agile environments. Highlight how you’ve coordinated with different teams to achieve a common goal, as this aligns with their values.
