At a Glance
- Tasks: Lead data-driven projects and uncover insights for top global brands.
- Company: Dynamic Insight Services team in a leading London firm.
- Benefits: 25 days leave, health support, flexible working, and career growth.
- Other info: Join a diverse team with a commitment to community impact.
- Why this job: Transform complex data into compelling stories that drive brand strategies.
- Qualifications: Experience in project management and a knack for data storytelling.
The predicted salary is between 50000 - 65000 £ per year.
Location: London, UK
Employment type: Permanent
Seniority level: Mid‐Senior
Weekly office requirement: Minimum 1 day per week – Wednesdays
About the role
We're looking for an Insight Manager to play a key role in our Insight Services team in London. You will uncover data‐driven stories that shape how the world's biggest brands understand their audiences.
Responsibilities
- Lead end‐to‐end insight delivery on client projects across regions.
- Analyse GWI datasets and bespoke research studies to surface trends and patterns that align with client objectives.
- Create high‐quality deliverables that translate complex data into clear, compelling narratives, and present them confidently to clients and internal teams.
- Support the Vertical Lead on RFP responses, proposals, team operations, and mentoring junior analysts.
Qualifications
- Proven experience managing projects and clients.
- Talent for data storytelling – translating numbers into narratives and surfacing insights that challenge assumptions or reveal something new.
- Exceptional attention to detail and flair for writing clear, engaging content.
- Proficiency in Microsoft Office and Google Slides; experience with survey platforms or analytics tools is a plus.
- Strong organisational and communication skills – comfortable running client presentations, managing multiple workstreams, and mentoring junior team members.
Benefits
- 25 days annual leave plus office closures over the holidays.
- Health cash plan, enhanced family benefits, carer days, and mental health support.
- Competitive salary, 4% pension matching, and recognition programmes.
- Flexibility: flexitime, early Friday finishes, hybrid and remote options, and a work‐from‐home budget.
- Career growth through accredited learning, leadership development, and global mobility.
- Community & impact: DE&I initiatives, volunteering opportunities, donation matching, and payroll giving.
EEO Statement
Diversity is fundamental to who we are. As a Disability Confident employer, we welcome applications from disabled candidates and are committed to making adjustments throughout the hiring process. We actively encourage applications from underrepresented and marginalised communities.
Insight Lead London, UK employer: GWI group
As an Insight Lead in London, you will join a dynamic team that values data-driven storytelling and fosters a culture of collaboration and innovation. With a strong commitment to employee growth, the company offers extensive benefits including generous annual leave, flexible working arrangements, and opportunities for professional development. The inclusive work environment prioritises diversity and community impact, making it an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Insight Lead London, UK
✨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 GWI group!
✨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 Insight Lead London, UK at GWI group.
✨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 GWI group.
✨Apply Directly through Our Website
When you find a suitable opening like Insight Lead London, UK at GWI group, 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 Insight Lead London, UK
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 GWI group, 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 GWI group. 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 GWI group
✨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 GWI group!
✨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.
