Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Construction Data Analyst

BOUYGUES UK
City of London
4 days ago
Create job alert

Construction Data Analyst – BOUYGUES UK


We’re looking for a multifaceted Data Analyst to join our dynamic data team. This is not a typical reporting role — we’re seeking a hybrid data professional who can blend advanced analytics, business intelligence development, and critical thinking, with a strong passion for data literacy, community‑building across the organisation, and an eye for design and user experience that enhances the accessibility and effectiveness of our data tools. You’ll be directly reporting to the Chief Data Officer and will be instrumental in shaping how data is accessed, understood, and used—from developing dashboards in Power BI, to establishing data governance best practices, to nurturing a company‑wide data culture.


What You Bring

  • Strong proficiency in Power BI (PL‑300 Level Minimum – certification not required but welcomed)
  • Experience working within the Microsoft 365 (MS/O365) ecosystem is highly desirable
  • Good SQL knowledge and data modelling techniques
  • Experience in data quality management, data visualisation, and dashboard design/UX optimisation; candidates are expected to present their portfolio of dashboards created, showcasing their ability to visualise data and extract meaningful insights, including how their dashboards have driven decision‑making and improved business processes
  • Familiarity in Snowflake is a plus
  • Strong communication skills – able to explain complex data concepts to non‑technical stakeholders
  • Ability to clearly document and present not only analytical findings but also the underlying processes and methodologies, ensuring transparency and reproducibility
  • Proven ability to collaborate across teams, understanding business needs and aligning data solutions accordingly
  • A comprehensive understanding of construction data and topics is essential
  • Natural community‑builder – thrives on mentoring, sharing knowledge, and fostering innovation
  • Degree in Mathematics, Statistics, Computer Science, or a related field

Data Architecture & Process Optimisation

  • Define and refine, in coordination with the Data Engineer, semantic data models, workflows, and governance practices
  • Establish and promote data quality and operational excellence through best practices and process improvements

Data Community & Literacy Development

  • Help grow an internal data community to foster collaboration, innovation, and knowledge sharing
  • Champion data literacy initiatives, training stakeholders on effective data usage and storytelling

Key Responsibilities

  • Design, build, and maintain Power BI dashboards and reports that deliver real business impact
  • Integrate and manage diverse data sources, ensuring high standards of data quality, consistency, and scalability
  • Oversee the implementation of BI initiatives to support data‑informed decision‑making across departments

What You Will Be Doing

  • Collaborating with stakeholders to understand reporting requirements and translate them into clear brief
  • Working with Business Sponsors and Data Owners to define, interpret, and simplify complex data requirements, ensuring solutions are aligned with business objectives
  • Designing, building, and maintaining interactive dashboards in Power BI to visualise business metrics and trends
  • Extracting, transforming, and loading data from Snowflake into Power BI for analysis and reporting
  • Creating strong and lean data models to ensure efficient data processing and optimal performance of Power BI dashboards, while supporting scalability and ease of maintenance
  • Using DAX to create calculated measures and columns within Power BI dashboards, enabling advanced analytics and dynamic reporting, including time‑intelligence functions, complex aggregations, and custom KPIs to provide deeper insights into business performance
  • Leveraging Power BI features to allow for the creation of interactive visuals that respond to user input and facilitate more meaningful data exploration
  • Writing and optimising SQL queries to retrieve and manipulate data within Snowflake, ensuring data accuracy and efficiency
  • Conducting data quality checks and liaising with the business to troubleshoot data inconsistencies
  • Presenting findings and dashboard solutions to both technical and non‑technical audiences, supporting data‑driven decision‑making

Why Bouygues UK

Day in day out our teams deliver some of the most technically innovative and challenging projects across the UK and the world. With a strong corporate culture, we look for people who demonstrate our key values – Respect, Commitment, Pioneering, Sharing.


Benefits

  • 26 days annual leave, increasing to 30 days
  • Pension scheme
  • Life insurance
  • Private medical insurance
  • BY Extra – opt into lifestyle benefits
  • Volunteering opportunities

We are an equal opportunities employer and encourage applications from suitably qualified and eligible candidates regardless of gender, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We value your privacy and are committed to protecting your personal details; if you choose to apply for this role, please do not include any sensitive data on your CV that reveals: directly or indirectly, your race or ethnic origins, your political, philosophical or religious opinions, your membership of a trade union, your social security number, or information relating to your health, sexual orientation or any criminal convictions.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Analyst

Data Analyst

Data Analyst

Data Analyst - Programme Advisory

Data Analyst

Master Data Analyst (M/F/D)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.