At a Glance
- Tasks: Lead insights projects, analyse data, and tell impactful stories to senior clients.
- Company: Join Signal AI, a cutting-edge AI company transforming corporate reputation.
- Benefits: Inclusive culture, innovative environment, and opportunities for professional growth.
- Other info: Diverse perspectives are valued; apply even if you don't meet every requirement.
- Why this job: Be at the forefront of AI-driven insights and make a real impact.
- Qualifications: Experience in research, analytics, and strong storytelling skills required.
The predicted salary is between 60000 - 80000 £ per year.
At Signal AI, we use cutting-edge AI technology to offer clarity on decisions that shape businesses and society. We value restless curiosity, creative thinking, and diverse perspectives as we strive to become AI-native. We believe that AI is a collaborator, not just a tool, and we invite passionate individuals to join us on our journey as we continue to learn, experiment, and grow together.
Signal AI, the AI-powered platform for corporate reputation, is looking for a Senior Insights Manager with a strong strategic edge. Your job is to analyse what factors are driving corporate reputation and contextualise the “why” behind the data. It’s the perfect opportunity for people who love diving into data, understand the exciting stories to tell, and know how to present them with wit and personality.
In this pivotal role, you will be leading insights projects and setting the direction of the analysis – from designing the approach at the outset, to workshopping insights with analysts along the way, to tying everything together and ensuring the output is impactful. Accessing our proprietary scoring engine and our Reputation and Risk platforms, you’ll help uncover the “signals in the noise”. You’ll be familiar with the best ways to pull, plot and visualise data to guide your team. But more importantly, you’ll have the instinct to select, optimise, redirect and innovate. You know how to tell an insightful and actionable story to senior and C-suite level clients.
Who are we looking for?
- You’ve spent the last few years of your career in a research, analytics, and/or strategy function, preferably at an agency or consultancy.
- You have several years of client-facing experience and understand the priorities of leaders within a Communications function.
- You have experience managing people, overseeing a team and managing multiple projects and deadlines.
- You love transforming data into strategic insights and presenting your findings to senior executives.
- You have strong design and storytelling skills and an instinct for what clients will find impactful.
- You have excellent critical thinking and analytical skills, and an impeccable instinct on how to visualise and lay out data.
- You have excellent presentation skills and a strong and engaging client-facing presence.
- You have a global outlook and sensitivity to how media and culture intersect with corporate reputation and risks.
- You want to work on the next wave of insights, using transformational AI technology to drive business intelligence forward.
- You’re innovative, collaborative and proactive - you roll up your sleeves to problem-solve, improve analytical approaches or create new solutions.
- You’re hungry to be part of a fast-growing company that values innovation and initiative.
Must-have skills:
- Passion for and experience with diving into data: You enjoy digging into data points and extracting insights that tell stories executives don’t already know.
- Analytical mind with a strategic edge: You have the experience and instinct for unveiling the “So what?” behind the “what”, and telling the right story along the way.
- Strong storytelling skills - an instinct on how to piece together data and insights to tell a compelling, impactful and actionable story to senior executives.
- Excellent presentation skills and presence: experience, confidence, personality and fluency in presenting your work to senior clients and C-suite executives.
- Impeccable project management skills - demonstrable ability to lead multiple projects and manage multiple deadlines.
- Strong critical thinking skills - the ability to take an ambiguous ask, break down how to answer it, and direct a team of analysts on what path to take.
- Excel, data and mathematical skills to “slice and dice” the data into your own pivot views, design and execute scoring methodologies.
- Familiarity with industry-standard social listening/media monitoring tools, such as Tableau, Looker, Meltwater, or Brandwatch.
- A keen sense for copywriting to help editorialise and “TL;DR” your research.
- Strong data visualisation skills - an aesthetic sense, and the ability to select the right data visualisations to tell the story.
- A can-do attitude and future-looking mindset - you are proactive and energetic, and aren’t afraid to roll up your sleeves to problem-solve or create solutions.
- Strong people management skills - experience managing multiple direct reports.
- A collaborative spirit - ability to collaborate with peers within the team as well as work cross-functionally with different teams, such as Customer Success, Sales or Product.
Not sure you meet every requirement? Studies show that women and other underrepresented groups often hesitate to apply unless they check every box. At Signal AI, diverse perspectives strengthen our teams, drive innovation, and lead to better performance. So even if your background doesn’t align perfectly with each qualification, we encourage you to apply if you’re passionate about this role.
We're dedicated to creating an inclusive environment where every Signaller feels welcomed, valued, and heard—a place where you can truly thrive as yourself.
Senior Insights Manager in London employer: Signal AI
At Signal AI, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a leader in AI technology, we offer our employees exceptional growth opportunities, competitive benefits, and the chance to be part of a forward-thinking team that is shaping the future of business decision-making. Located in a vibrant tech hub, our office provides an inspiring environment where creativity thrives and diverse perspectives are celebrated.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Insights Manager in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Signal AI!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Senior Insights Manager in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Signal AI, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Signal AI
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Signal AI’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.