At a Glance
- Tasks: Lead marketing analytics, shape measurement strategies, and mentor fellow analysts.
- Company: Established multi-brand digital business with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with direct access to executive stakeholders.
- Why this job: Be the analytical voice driving impactful marketing strategies and decisions.
- Qualifications: Experience in CRM, SEO, or content performance; expert SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
Hybrid, Travel to the London office 2x per week (Tuesday & Thursday).
A well-established, multi-brand digital business is hiring a senior marketing analyst to join the Marketing Analytics team to take ownership across their earned and owned channels spanning CRM, lifecycle, SEO, organic search, and content.
This is a high-impact individual contributor role sitting at the heart of marketing strategy. You'll be the most senior analytical voice across these disciplines, working hand-in-hand with channel leaders and presenting findings directly to exec-level stakeholders.
The role:
You'll define how the business measures and grows its earned and owned channels — building the frameworks, models, and reporting infrastructure the organisation will rely on for years. Day-to-day, that means shaping measurement strategy, proving the commercial value of unpaid investment, connecting the dots across the full customer journey, and mentoring the analysts around you. You'll also contribute to a single customer view that powers audience targeting and next-best-action across the business.
What you'll need:
- A background in at least one of: CRM/lifecycle analytics, customer analytics, SEO/organic, or content performance.
- Expert-level SQL and experience with a programming language (Python, R, Julia or similar).
- Commercial judgement and the ability to cut through ambiguity are just as important as the technical toolkit.
- Familiarity with BI tools, dbt, or Git is a bonus.
Lead Market Analytics Analyst in London employer: TechByte Talent Ltd
Join a dynamic and innovative multi-brand digital business that values analytical expertise and fosters a collaborative work culture. With a hybrid working model and the opportunity to engage directly with executive stakeholders, you'll find ample room for professional growth and development in this high-impact role. Our commitment to employee well-being and continuous learning makes us an exceptional employer for those seeking meaningful and rewarding careers in marketing analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Market Analytics Analyst in London
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We think you need these skills to ace Lead Market Analytics Analyst 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 TechByte Talent Ltd, 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 TechByte Talent Ltd. 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 TechByte Talent Ltd
✨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.
