Senior Insight Manager: Data Storytelling & Leadership in London

Senior Insight Manager: Data Storytelling & Leadership in London

London Temporary 50000 - 65000 £ / year (est.) No working from home possible
GWI group

At a Glance

  • Tasks: Lead a team of analysts and manage large-scale reporting projects.
  • Company: GWI group, a dynamic company in London.
  • Benefits: 25 days’ leave, competitive salary, flexibility, and career growth.
  • Other info: Great opportunity for professional development and team collaboration.
  • Why this job: Make an impact through data storytelling and leadership in a collaborative environment.
  • Qualifications: Experience in project management, client relationships, and data storytelling.

The predicted salary is between 50000 - 65000 £ per year.

GWI group in London is seeking a Senior Insight Manager for maternity cover. You will lead a team of analysts, manage large-scale reporting projects, and partner with Revenue teams for proposals.

The ideal candidate has experience managing projects and client relationships, a talent for data storytelling, and strong attention to detail.

You'll enjoy benefits like 25 days’ leave and a competitive salary, along with flexibility and career growth opportunities.

Senior Insight Manager: Data Storytelling & Leadership in London employer: GWI group

GWI group is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters creativity and collaboration. With a strong emphasis on employee growth, you will have access to numerous career development opportunities, alongside attractive benefits such as 25 days’ leave and a competitive salary. Join us to be part of a forward-thinking team where your skills in data storytelling and leadership will be valued and nurtured.

GWI group

Contact Details:

GWI group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Insight Manager: Data Storytelling & Leadership in London

Tap into Online Data Science Communities

Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like GWI group before they're even advertised!

Show Off Your Skills With Projects

Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.

Check Out Specialist Job Boards

For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like GWI group.

Leverage University Resources

If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like GWI group.

We think you need these skills to ace Senior Insight Manager: Data Storytelling & Leadership in London

Team Leadership
Project Management
Data Storytelling
Client Relationship Management
Attention to Detail
Analytical Skills
Reporting Skills

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at GWI group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to GWI group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab GWI group’s attention and show the tangible impact of your work.

How to prepare for a job interview at GWI group

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at GWI group.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at GWI group.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at GWI group.