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. Data & Discovery Analyst 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. 2. 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. 3. 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. 4. 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.