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

Apply Now

Data Analyst

PA Consulting
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Job Description

Flexible working - We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.

In Data Science, we are a dynamic and inclusive community of digital experts dedicated to addressing complex business challenges and transforming data into actionable insights. Our team is trusted to deliver outstanding solutions and thrives in a collaborative, innovative environment. If you're eager to grow your skills and contribute to meaningful projects, we want to hear from you!

Your Role
As a Data Analyst, you will:

  • Empower clients to unlock the full potential of their data by delivering insightful, impactful analyses.
  • Collaborate with businesses to understand their challenges and goals, using data to support decision-making.
  • Partner with data engineers, data scientists, project managers, and stakeholders to create tailored solutions.
  • Gather requirements, perform in-depth data analysis, and present findings through meaningful visualisations and actionable reports.
  • Enhance our data capabilities by exploring new tools, methodologies, and improving analytics practices.
  • Participate in diverse projects across industries, leveraging cutting-edge tools and techniques to deliver transformation for our clients.

At PA Consulting, we’re deeply committed to professional growth, with dedicated time for personal training and development.


Qualifications

To excel in this role, you should have:

  • Proven experience in understanding business challenges, analyzing, interpreting, and visualizing data to drive decision-making.
  • Strong proficiency in data manipulation and querying tools such as SQL and Python.
  • Hands-on experience with data visualization tools like Power BI, Tableau, or similar.
  • The ability to collect, clean, and transform structured and unstructured data from multiple sources.
  • Familiarity with statistical methods for data analysis, including regression, clustering, and forecasting.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud for data storage and analytics.
  • Understanding of data governance principles, including data quality, privacy, and security best practices.
  • The ability to communicate complex data findings clearly to both technical and non-technical stakeholders.
  • Knowledge of machine learning and advanced analytics (preferred but not required).
  • Experience working in Agile teams and familiarity with Scrum ceremonies.

Why Join Us?
Join our dynamic team at PA Consulting and be part of a group that’s shaping the future of data-driven decision-making. We offer a collaborative environment, diverse projects, and the opportunity to make a real impact.

We know the skill-gap and ‘somewhat need to tick every box’ can get in the way of meeting brilliant candidates, so please don’t hesitate to apply – we’d love to hear from you.

Apply today by completing our online application



Additional Information

Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. 

Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world’s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. 

Find out more about Life at PAhere

We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: 

  • Health and lifestyle perks accompanying private healthcare for you and your family 
  • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days 
  • Generous company pension scheme 
  • Opportunity to get involved with community and charity-based initiatives 
  • Annual performance-based bonus 
  • PA share ownership 
  • Tax efficient benefits (cycle to work, give as you earn) 

We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. 

Adjustments or accommodations- Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on  

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.