Data Analyst

Job Title:
Data Analyst

Location:
Winsford, Cheshire, UK

Spencer Richardson is working with a leading technology company delivering AI-powered safety solutions that help prevent collisions, reduce risk, and improve operational safety across industries such as construction, mining, waste and infrastructure. Their solutions combine real-time data capture, advanced analytics and intuitive reporting tools that empower customers to make safety-critical decisions with confidence.

They are looking for a motivated Data Analyst to join their growing data team. You will be instrumental in transforming raw data into meaningful insights that support our safety products, dashboards, operational decision-making and customer reporting. Your work will help deepen their understanding of safety trends, drive product improvements, and deliver measurable value to customers.

• Collect, clean and validate data from multiple sources (IoT sensors, databases, logs, third-party systems) to ensure accuracy and completeness.
• Analyse datasets to uncover trends, patterns and insights related to safety performance, system usage, asset behaviour and incident indicators.
• Develop and maintain dashboards, visualisations and reports using tools such as Tableau, Power BI, Looker or similar.
• Collaborate with engineering, product and customer success teams to translate data insights into actionable recommendations.
• Respond to ad-hoc analytical requests and support internal stakeholders with business-critical analysis.
• Document analytical methods, maintain data dictionaries and ensure reproducible analysis.
• Present findings to technical and non-technical audiences in a clear, compelling way.

• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science or related field.
• 2+ years of experience in a data analysis, business intelligence or related role.
• Strong proficiency with SQL for data querying and manipulation.
• Experience with data visualisation tools (e.g., Power BI, Tableau, Looker).
• Solid analytical and problem-solving skills, with an ability to turn data into insights and recommendations.
• Comfortable working in cross-functional teams and managing multiple priorities.

• Experience working with large datasets, time-series data or telemetry from IoT systems.
• Familiarity with Python or R for data analysis, scripting and automation.
• Understanding of statistical methods and A/B testing principles.
• Previous experience in safety, industrial technology, logistics or related sectors.

If you think this is you, please reach out to  for more information.