Data Analyst
London, United Kingdom
PA Consulting
An innovation and transformation consultancy, we believe in the power of ingenuity to build a positive human future. Our clients adapt and transform, and…Company Description
About us
We believe in the power of ingenuity to build a positive human future.
As strategies, technologies, and innovation collide, we create opportunity from complexity.
Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.
Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.
PA. Bringing Ingenuity to Life.
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.
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity – bringing ingenuity to life.
Find out more about Life at PA here.
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 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 are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Clustering Consulting Data analysis Data governance Data quality Data visualization Excel GCP Google Cloud Machine Learning Power BI Privacy Python Scrum Security SQL Statistics Tableau Unstructured data
Perks/benefits: Career development Flex hours Health care Parental leave Salary bonus
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