At a Glance
- Tasks: Lead impactful analytics projects and present findings to clients.
- Company: Join Silverdrum, a creative media agency where data drives decisions.
- Benefits: Enjoy a hybrid work environment and competitive salary up to £55K.
- Other info: Collaborative team culture with opportunities for mentorship and learning.
- Why this job: Shape narratives and influence top brands while growing your analytics career.
- Qualifications: Experience in media analytics and proficiency in Python, R, or SQL required.
The predicted salary is between 42000 - 58000 £ per year.
This range is provided by Silverdrum. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Silverdrum
London hybrid | Up to £55K
This is not your average analytics role. Join a standout media agency where creativity meets data science, and your work will directly influence some of Europe’s most recognisable brands.
If you’re equally comfortable building models and presenting to clients, and you want to work in a media agency where data is genuinely driving decisions, this one’s for you.
Why this agency?
Think fast-growing. Think data-literate. Think strategically bold.
This team doesn’t just crunch numbers, they shape narratives, drive decisions, and push boundaries. With a close-knit feel and access to global client rosters, it’s the perfect place to grow your analytics career while staying close to the action.
What you’ll be doing
As Analytics Manager, you’ll sit at the heart of their Data Science function, working across end-to-end modelling projects and collaborating closely with Data Viz, Planning and Client Services.
You’ll:
- Lead high-impact analytics projects from brief to delivery
- Apply modelling techniques (linear regression, incrementality etc.) to solve real business problems
- Build trusted relationships with client teams and external stakeholders
- Present findings with confidence and strategic insight
- Mentor junior analysts and shape delivery processes
- Balance multiple workstreams and manage timelines with ease
What you’ll need to bring
- Experience in media/advertising analytics (MMM, regression modelling, incrementality, etc.)
- Fluency in one or more of Python, R, SQL, Alteryx, Snowflake, Tableau
- A proactive, solutions-focused mindset
- Strong communication skills – both with numbers and narratives
- Commercial acumen and a deep understanding of the media ecosystem
- A collaborative spirit – able to guide others while constantly learning yourself
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Analyst, Advertising, and Marketing
-
Industries
Advertising Services, Technology, Information and Media, and Market Research
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Analytics Manager employer: Silverdrum
At Silverdrum, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture in the heart of London. Our commitment to employee growth is evident through tailored development programmes and opportunities to lead innovative projects, particularly in the fast-paced realm of digital commerce. Join us to be part of a forward-thinking team where your contributions directly shape the future of connected commerce for leading global brands.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager
✨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 Silverdrum!
✨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 Analytics Manager at Silverdrum.
✨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 Silverdrum.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Manager at Silverdrum, 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 Analytics Manager
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 Silverdrum, 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 Silverdrum. 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 Silverdrum
✨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 Silverdrum!
✨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.
