At a Glance
- Tasks: Shape digital analytics strategy and deliver insights to drive performance.
- Company: Join a dynamic multi-brand organisation with a focus on innovation.
- Benefits: Flexible home-based role with opportunities for professional growth.
- Other info: Autonomous role with agency support and regular team meetings in London or Manchester.
- Why this job: Be the go-to expert in a vast digital landscape and influence revenue growth.
- Qualifications: Experience in digital analytics and a passion for data-driven decision making.
The predicted salary is between 60750 - 74250 £ per year.
Whilst this is a home based role, we are ideally seeking candidates in the London or Manchester areas due to requirements to attend regular team meetings in these offices.
If you’re the kind of digital analytics expert who loves shaping strategy and rolling up your sleeves to deliver it, this is the role that will energise you. We’re looking for a rare blend of visionary thinker and hands-on practitioner — someone who can build a culture of insight, transform how we understand digital performance, and directly influence revenue growth across a large, multi-brand organisation.
Why This Role Matters
Our digital estate is vast, complex and full of untapped opportunity. To unlock it, we need to understand what’s happening across every touchpoint — and that starts with exceptional tagging, tracking, reporting and insight. You’ll be the person who makes that happen. This is a standalone role with agency support, giving you the autonomy to set the direction, implement best-in-class analytics, and become the go-to expert for digital performance across the Ardonagh Group.
What You’ll Lead & Deliver
- Analytics & Insights Strategy — Define the vision, roadmap and operating model that empowers the Digital team and wider business to make confident, insight-driven decisions.
Digital Analytics Manager in London employer: Everywhen, part of the Ardonagh Group
Join our friendly team in Saffron Walden as an Insurance Account Handler, where you'll enjoy a supportive work culture that prioritises your wellbeing and career growth. With flexible working options, a generous bonus structure, and opportunities to gain industry qualifications, we empower you to thrive both personally and professionally. Experience a rewarding career with the UK's largest independent Insurance Brokers, where your contributions are valued and recognised.
Contact Details:
Everywhen, part of the Ardonagh Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analytics Manager in London
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We think you need these skills to ace Digital Analytics Manager in London
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!
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Craft a Tailored Cover Letter:For a full-time role at Everywhen, part of the Ardonagh 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 Everywhen, part of the Ardonagh 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 Everywhen, part of the Ardonagh 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!
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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
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✨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.
