Job Title: Data Analyst – Technical/Engineering Focus Department: Engineering / Data & Analytics Reports To: Head of Data or Engineering Manager Job Type: Full-time About Camlin Group At Camlin Group, we design and deliver innovative solutions that help monitor, manage, and protect the world’s railways. Our technologies generate large volumes of data—from our advanced monitoring systems—and monitoring/analysing this data to ensure high levels of performance is maintained is essential We’re looking for a Technical Data Analyst who understands both data and engineering, and can support the development and optimization of our products and services through deep data analysis. Key Responsibilities Analyse and interpret large volumes of engineering and operational data Collaborate with development team to understand how systems generate work and understand the context of the data. Develop and maintain dashboards, reports, and visualizations that support product development, field performance, and customer insights. Work closely with R&D teams to support the testing and verification of new products using historical and real-time data. Identify patterns, anomalies, and failure modes in datasets to improve system reliability and performance. Support data pipeline development in collaboration with data engineers. Required Skills & Experience Bachelor’s or Master’s degree in Data Science, Engineering, Physics, Computer Science, or a related technical field. 2 years of experience as a Data Analyst in a technical, engineering, or industrial environment. Proficiency in SQL and Python for data analysis and manipulation. Strong understanding of data modeling, ETL processes, and data quality assurance. Experience with data visualization tools (e.g., Power BI, Tableau, or similar). Ability to work with time-series and sensor data from embedded or industrial systems. Excellent problem-solving, communication, and documentation skills. Preferred Qualifications Experience working with IoT data, or industrial analytics. Knowledge of data lakes, cloud platforms (AWS, Azure), or big data tools (e.g., Spark, Kafka). Familiarity with machine learning basics and predictive maintenance concepts. 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.