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

Apply Now

Talent Acquisition - Data Analytics & Project Management

London
5 months ago
Applications closed

Related Jobs

View all jobs

AWS Data Engineer

Lead Data Analyst

Data Engineer

Data Engineer

Lead Biostatistician - Statistical Programming

Data Analyst

Talent Acquisition Advisor - Project Management and Data Analytics
This role reports directly to the Global Head of Talent Acquisition supporting the delivery of the global Talent Acquisition (TA) Strategy. Our business is a growth business and Talent Acquisition has an important role to play in enabling continued business success. In this role you will directly contribute to that success.

You will play an active part in the TA team taking responsibility to project manage and deliver a range of local, regional and global initiatives as well as inputting into other projects & business as usual (BAU) activities. You will also be highly involved in demonstrating progress against objectives in a range of ways, including but not exclusive to, data insights, reports and preparing presentations.

Successful applicants will demonstrate a high level of organisation, excellent interpersonal skills, a proactive approach & an ability to manage multiple projects and deadlines at any one time.

What You'll Do

Data & Reporting: increase transparency of progress, challenges & opportunities through accurate data and reporting. Use quantitative and qualitative analysis to create reports which influence business decisions and create positive outcomes. You will be responsible for creating and / or ensuring the accuracy of dashboards sometimes in collaboration with other teams.

Project Management & Content Creation: lead on key initiatives including creating agile project plans, managing project timelines & outcomes, collaborating broadly across teams to understand key requirements & ensure tools are fit for purpose. You will proactively design content for initiatives and also manage translations, support launch of new initiatives & measure success. Current examples include Assessment & Selection; Capability Training; Content creation for online Talent Attraction campaigns & events.

Other ad-hoc duties include, but are not limited to: newsletters, scheduling & supporting online Townhalls, calendar of activities and communications.

What You'll Need

Customer focused, with excellent collaboration, influencing and communication skills

Sound understanding of data analysis (strong excel skills are required / knowledge of PowerBI and building dashboards would be advantageous)

Project Management skills - an understanding of agile project management methodology would be highly advantageous

Content Creation - ability to create a broad range of content from presentations, to video content & training materials. Proven experience with design tools such as Indesign & Storyline would be highly advantageous

Exceptional time management skills with an eye for detail and extremely organised

Solutions mindset & proactive nature with ownership of tasks and duties, using initiative to achieve positive outcomes

Collaborative approach, with the ability to maximise short term whilst building upon long-term productive relationships. Effective team-working and support to colleagues

Thrive on working within a fast-paced organisation, with a diverse supply base and wide geographical spread of contracts

Proficient in Microsoft office software

Note:

This role is based on 40 hours per week, with the ability to be flexible to business demands

This role may involve reasonable travel

Why CBRE
When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to realise your full potential.

Our Values in Hiring
At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.