Data Analyst

Turn Data into Decisions – Shape the Future of Intelligent Asset Management

We’re looking for a technically minded Data Analyst who thrives on transforming complex datasets into clear, actionable insights. If you enjoy solving problems, improving systems, and influencing real-world engineering outcomes, this is an opportunity to make a tangible impact.

Purpose & Scope of the Role

This role is responsible for collecting, managing, and analysing complex datasets to support strategic and operational decision-making. You will develop robust data processes, maintain high-quality data standards, and deliver insightful reporting through dashboards and visualisations. Working across technical and operational teams, you will ensure data integrity while supporting the development and optimisation of asset management systems.

Your Impact in this Position

You will play a key role in improving efficiency and performance by identifying trends, driving data-led decisions, and enhancing existing systems. Your work will directly support engineering operations, enabling better forecasting, lifecycle planning, and cost management while contributing to continuous improvement initiatives across the business.

Core Capabilities

Data Collection & Management

• Source, validate, and manage data from multiple systems, ensuring accuracy and consistency
• Maintain structured databases and support data migration into internal platforms
  
  

Analysis & Interpretation

• Apply statistical techniques to uncover trends, patterns, and performance insights
• Develop KPIs and support forecasting to inform strategic planning
  
  

Reporting & Visualisation

• Design and deliver clear dashboards and reports using tools such as Power BI
• Communicate complex findings in an accessible, impactful way
  
  

Collaboration & Communication

• Work closely with stakeholders to understand business needs and translate them into analytical solutions
• Provide insights that drive operational and engineering improvements
  
  

Process Improvement & Development

• Identify opportunities to automate workflows and enhance data processes
• Support and develop asset collection software, ensuring alignment with industry standards and data frameworks
  
  

Skills, Experience & Qualifications

Degree (or equivalent experience) in a relevant discipline such as Mathematics, Statistics, Computer Science, or Economics. Strong technical capability in SQL, Excel, and Python or R, alongside experience with BI tools such as Power BI or Tableau. Excellent analytical thinking, attention to detail, and the ability to communicate technical insights to a broad audience.

Working Environment

This role offers a flexible working approach, with a blend of office and remote working. Typically, you can expect 2–3 days in the office, with the remainder worked remotely. You’ll collaborate with both office-based teams and field engineers, supporting a dynamic and technically focused environment.

Tetra Tech is a leading provider of consulting and engineering services working across the full project lifecycle worldwide. We have a wide range of expertise across our teams, providing a global support network with a personalised approach to client relationships to better understand where we can add value. We provide a collaborative environment that supports individual performance, innovation, and creativity.

We support public and private sector clients on local, national, and international projects to deliver sustainable and resilient solutions. Our operations in the UK, Ireland, and the Netherlands include more than 6,000 employees who are Leading with Science® to solve our clients’ most complex problems.

In alignment with the Equality Act 2010, we will make reasonable adjustments to support candidates and employees requiring additional arrangements. This could include adaptations to work schedules, training approaches, or the physical workspace. Please inform us if you need any accommodations during the recruitment process or in your day-to-day role

Additional Information

• Organization: 784 TCE