Data analyst for infrastructure

Jacobs; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Pension

Holiday allowance

Additional perks

Job summary

Jacobs Digital and Data ищет специалиста по анализу данных и AI, способного переводить бизнес-задачи в аналитические вопросы и предлагать доказательные решения. У кандидата должен быть опыт работы с Python, SQL и облачными платформами, умение презентовать результаты не-техническим людям.

Вакансия предусматривает гибридный формат работы, развитие навыков в современных инструментах анализа и влияние на крупные проекты в сфере инфраструктуры и индустрии.

Qualifications

• Опыт применения анализа данных и статистических методов к бизнес-задачам.
• Уровень владения Python для манипуляций с данными, анализа и статистического моделирования.
• Знание SQL для извлечения и валидации данных.
• Основы статистического мышления: регрессия, тесты гипотез, доверительные интервалы.
• Способность критически оценивать результаты и передавать неопределенность заинтересованным сторонам.

Responsibilities

• Преобразовывать задачи клиентов в аналитические вопросы и измеримые показатели.
• Применять статистические методы и развёртывать аналитические рабочие процессы на Python.
• Визуализировать данные и рассказывать истории аналитики широкой аудитории.
• Работать с облачными платформами и инструментами анализа на масштабе.
• Сотрудничать с клиентами и командами для уточнения требований и проверки выводов.

Skills

Python

SQL

Statistics

Data visualization

Communication

Tools

Azure

Databricks

Fabric

Synapse

Job description

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