Data Researcher in London

Data Researcher in London

London Full-Time 27000 - 33000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Source and verify data, collaborate with the team, and create insightful reports.
  • Company: Join a forward-thinking company that values diversity and innovation.
  • Benefits: Flexible working hours, competitive pay, and opportunities for personal growth.
  • Other info: Inclusive workplace committed to supporting all candidates throughout the application process.
  • Why this job: Make an impact by leveraging AI tools and enhancing data management processes.
  • Qualifications: Experience in data roles, strong Excel skills, and a keen eye for detail.

The predicted salary is between 27000 - 33000 £ per year.

Key Responsibilities

  • Data Entry & Management: Source and verify data from various platforms to maintain and update internal databases (including property, company, and client information).
  • Uphold data integrity and confidentiality through regular quality assurance checks and required updates.
  • Team Coordination: Collaborate closely with team members to optimise workflow and communication.
  • Contribute to team meetings and ensure timely and effective responses to internal requests.
  • Research & Reporting: Conduct in-depth analysis of property portfolios and complex landlord assets, alongside running regular queries to track key team metrics.
  • Compile all findings into structured reports and consistent updates that follow established team guidelines.
  • Document

Administration: Create, format, and edit key team materials (such as contracts and summary sheets) while maintaining an organised digital filing system to ensure all files are accurately labelled, properly stored, and easily accessible.

  • Client

Interaction: Act as a point of contact when issuing contracts to potential clients, providing exceptional customer service and promptly addressing inquiries or redirecting them to the appropriate team members.

  • AI: Leverage AI tools (e. g., Co-pilot) to increase efficiency, while applying critical thinking to validate all outputs.
  • Proactively identify and propose innovative applications for AI within our team and the wider business.
  • Ad hoc Tasks: Assist with ad hoc requests and projects, demonstrating flexibility and a willingness to take on additional responsibilities as needed.

Qualifications

  • Prior experience in data administration or research role within professional services, commercial real estate, or business rates is advantageous.
  • Proficient in using Microsoft Excel – ability to work with formulas, formatted templates, and data manipulation.
  • Highly organised and able to multitask, whilst being flexible to adapt to changing priorities and deadlines.
  • A logical and analytical mindset with strong attention to detail, to spot discrepancies in various datasets.
  • Clear verbal and written communication skills to liaise with internal colleagues and external contacts.
  • Strong collaborative skills to work effectively in a small, focused team within a large corporate matrix.
  • Experience using Salesforce or another CRM system is preferred.
  • Familiarity with Power BI would be beneficial but not essential.

We make reasonable adjustments in line with the Equality Act 2010.

At Colliers, we empower people to perform at their best.

As a Disability Confident Employer, we want every candidate to feel welcome.

If anything would help you take part in our process, such as extra time or rest breaks, step‑free access, or a different interview format, please tell us in your application.

You are not expected to share a diagnosis or medical history.

Colliers is proud to be an equal opportunities employer.

We do not discriminate based on age; disability; gender; gender reassignment; marriage and civil partnership; pregnancy and maternity; race (including colour, nationality and ethnic or national origins); religion or belief; sex; or sexual orientation.

We also value diverse experience and neurodiversity.

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Data Researcher in London employer: Colliersinternationalemea

At Colliers, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. As a Data Researcher, you'll benefit from our commitment to employee growth through continuous training and the use of cutting-edge AI tools, all while working in a supportive environment that values diversity and inclusion. Located in a vibrant area, we provide a flexible workplace that encourages a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.

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Contact Details:

Colliersinternationalemea Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Researcher in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Colliersinternationalemea!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Researcher at Colliersinternationalemea.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Colliersinternationalemea.

Apply Directly through Our Website

When you find a suitable opening like Data Researcher at Colliersinternationalemea, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Researcher in London

Data Entry & Management
Data Integrity
Quality Assurance
Team Coordination
Research & Reporting
Data Analysis
Document Administration

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Colliersinternationalemea, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Colliersinternationalemea. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Colliersinternationalemea

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Colliersinternationalemea!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.