Talent Acquisition - Data Analytics & Project Management

London
1 month ago
Applications closed

Related Jobs

View all jobs

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Senior Data Scientist - Commercial

Data Scientist

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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.