Role Overview
The Data Analyst/Scientist or Senior Data Analyst/Scientist will work across the full lifecycle of a problem, using data, analytics, statistical methods, and data science to generate insight, support decision-making, and improve engineering services. The role involves working with engineers, consultants, and other stakeholders to understand their needs and translate ambiguous questions into well-defined analytical problems.
What You Will Do
The successful candidate will develop and implement data-driven solutions to solve real-world business problems, use SQL, Python, and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses, and generate actionable insights.
Why It Might Be a Fit
To be successful in this role, you’ll need experience applying data and analysis to real-world business, engineering, or operational problems, strong analytical problem-solving skills, and the ability to work on projects independently and own deliverables.
Requirements
- Experience applying data and analysis to real-world business, engineering, or operational problems
- Strong analytical problem-solving skills
- Ability to work on projects independently and own deliverables
- Strong proficiency in Python for data manipulation, analysis, visualisation, and data science
- Proficiency in data querying languages (e.g., SQL)
- Solid understanding of software engineering best practices
- Strong experience with data visualisation frameworks
- Experience applying machine learning and AI to real-world problems
- Familiarity with statistical concepts and their application in data analysis
- Solid communication skills
- Understanding of data governance, privacy, responsible AI, and other relevant standards
Benefits
- Private medical cover
- An electric vehicle salary sacrifice scheme
- Stock options
- 25 days of annual leave (increasing with service)
- Flexible and hybrid working
To apply for this job please visit linkedin.com.
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