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 innovative solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment focused on innovation and continuous improvement.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: Strong analytical skills, proficiency in SQL, and experience with data analysis tools.
The predicted salary is between 35000 - 45000 £ per year.
About Camlin
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 Preparation & Pipeline Support
- 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.
ESSENTIAL
- 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.
OUR VALUES
- 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.
To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process, click the Apply button below to Login/Register.
Data & Discovery Analyst in Belfast 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 a supportive environment, Camlin is an excellent employer for those looking to make a difference in the world of data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Discovery Analyst in Belfast
✨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 Camlin!
✨Show Off Your Projects
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✨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 Camlin.
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We think you need these skills to ace Data & Discovery Analyst in Belfast
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 Camlin, 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 Camlin. 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 Camlin
✨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 Camlin!
✨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.
