Описание:
At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. This is a great time to join Jacobs Digital and Data as we continue to help clients solve some of the world’s most complex challenges through data, analytics, and AI.
Задачи:
- Translate complex business and programme challenges into clear analytical questions, hypotheses, and measurable outcomes
- Apply statistical techniques including regression analysis, hypothesis testing, sampling methodologies, and confidence interval analysis to generate robust, evidence-based insights
- Conduct exploratory data analysis to identify trends, anomalies, risks, and opportunities within large and complex datasets
- Develop reproducible analytical workflows using Python, leveraging tools such as pandas, numpy, scipy, and statsmodels
- Query, validate, and analyse data using SQL across structured and semi-structured data environments
- Work with modern cloud-based data platforms including Azure, Fabric, Synapse, and Databricks to access and analyse data at scale
- Leverage AI tools, large language models, and copilot platforms to accelerate analytical workflows while applying appropriate oversight and validation controls
- Evaluate analytical outputs for quality, bias, statistical robustness, and suitability for decision-making
- Create clear, compelling visualisations and analytical narratives that communicate findings effectively to both technical and non-technical audiences
- Assess data quality, completeness, lineage, and limitations, ensuring assumptions and constraints are clearly documented
- Collaborate with clients, programme teams, and technical specialists to refine requirements, validate findings, and align recommendations
- Ensure analytical approaches are transparent, reproducible, and compliant with governance, privacy, and ethical standards
- Support the continuous improvement of analytical methods, reusable assets, and best practices across the wider Digital and Data community
Требования:
- Experience applying data analysis and statistical methods to solve business, programme, or operational challenges
- Strong Python skills for data manipulation, analysis, and statistical modelling
- Working knowledge of SQL for data extraction, validation, and investigation
- A solid foundation in statistical reasoning, including regression, hypothesis testing, confidence intervals, and analytical risk assessment
- The ability to critically assess findings, challenge assumptions, and communicate uncertainty appropriately
- Experience presenting analytical results and recommendations to non-technical stakeholders
- An understanding of modern AI tools and their application within analytical workflows, alongside awareness of their limitations and risks
- A collaborative mindset with excellent communication skills and a commitment to delivering high-quality, decision-grade insight
- Будет плюсом: Familiarity with cloud-based data platforms such as Azure, Fabric, Synapse, or Databricks would be advantageous; Experience with data visualisation tools such as Power BI, matplotlib, seaborn, or Plotly would be beneficial
Условия:
- Work on high-impact programmes that help shape national infrastructure, public services, and economic growth
- Apply advanced analytics, statistical techniques, and AI-enabled approaches to solve real-world client challenges
- Gain exposure to diverse sectors and complex transformational programmes across both public and private organisations
- Be part of a collaborative team of data analysts, data scientists, engineers, consultants, and subject matter experts
- Develop expertise across modern analytical tooling including Python, SQL, Azure, Databricks, Fabric, and AI-assisted analytics platforms
- Work in an environment that values analytical integrity, critical thinking, and evidence-based decision-making
- Build client-facing consulting and stakeholder engagement skills while working directly with senior decision-makers
- Contribute to innovative approaches that combine statistical rigour with emerging AI capabilities
- Access ongoing learning and development opportunities to deepen both technical and consulting expertise
- Progress your career within a growing Digital and Data practice, with pathways into senior analytics, data science, consulting, or leadership roles
- A global network of expertise and opportunity
- A culture founded on safety, integrity, inclusion, and belonging
- Flexible working arrangements that support your well-being and potential
- Investment in your development, including certifications, learning time, and access to mentors
- Opportunities to contribute to communities of practice and internal technical initiatives
- Exposure to diverse projects across multiple industries and regions
- Competitive benefits package including pension, holiday allowance, and additional perks
Data analyst for infrastructure employer: Jacobs
At Jacobs, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that prioritises safety, integrity, and collaboration. Our Glasgow office provides flexible working arrangements and a wealth of opportunities for professional growth, allowing you to contribute to innovative maritime projects while being part of a supportive team that values diverse perspectives. Join us to make a meaningful impact in the world of civil and structural engineering, all while enjoying the benefits of a global network and a commitment to employee well-being.
