Head Of Marketing Analytics (12 month FTC) (Basé à London)

Jobleads
Holloway
3 weeks ago
Applications closed

Related Jobs

View all jobs

Head of Analytics & Data Science

Data Analysts

Paid Search Lead

Head of Data Science and Analytics

Senior Analyst & Data Specialist

Senior Data Analyst

Social network you want to login/join with:

Head Of Marketing Analytics (12 month FTC), LondonClient:

carwow

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

65ffbc47d4b9

Job Views:

48

Posted:

11.04.2025

Expiry Date:

26.05.2025

Job Description:

Carwow Group is driven by a passion for getting people into cars. But not just any car, the right car. That’s why we are building the go-to destination for car-changing. Designed to reach drivers everywhere with our trail-blazing portfolio of personality-rich automotive brands; Carwow, Auto Express, evo, Driving Electric, and Car Buyer.

What started as a simple reviews site is now one of the largest online car-changing destinations in Europe - over 10m customers have used Carwow to help them buy and sell cars since its inception. Last year we grew over 50% with nearly £3bn worth of cars bought on site, while £ of cars were listed for sale through our Sell My Car service.

In 2024 we went big and acquired Autovia, doubling our audience overnight. Together we now have one of the biggest YouTube channels in the world with over billion annual views, sell million print copies of our magazines and have an annual web content reach over 350 million.

WHY JOIN US?

We are winners of the prestigious Culture 100 award that recognises the most loved and happiest tech companies to work for! We have just raised $52m in funding led by global venture capital firm Bessemer Venture Partners (an early backer of LinkedIn and Shopify) to accelerate our growth plans!

As pioneers, we’re always driving for new territory and positive change, so our work as a group is never done. Where others see difficulty, it’s our responsibility to see possibility – building new experiences, launching new titles and listening to drivers.

Being a part of Carwow Group means championing drivers and the automotive industry, acting as a disrupter and never being afraid to fail (but learning fast when we do!).

Our team of 500 employees across the UK, Germany, Spain, and Portugal are revolutionising car-changing and we are fast expanding our mission across every single brand and country we operate in, so jump in!

THE ROLE

At Carwow, our Marketing Team has had incredible success leveraging Marketing Analytics, insights, and data; in fact, we have been shortlisted for multiple awards in 2024 for our work in this space. This role is an opportunity to work amongst a very talented and high-performing team, that is an integral part of the Marketing organisation - enabling Carwow’s sustainable and data-driven growth.

As the Head of Marketing Analytics, you will lead a team of 7 analysts, and a long-standing agency relationship, while also helping the team scale efforts for an ever-growing business that is taking on a number of new initiatives post-fundraise. A core aim during your tenure is to realise the value of a recent Martech investment in a Customer Data Platform, as well as embedding a Marketing Capital Allocation strategy through multiple measurement methods and an alignment with our budgeting process.

Managing multiple, and complex stakeholder relationships with very different interests and needs will be critical for this role, as well as a focus on continued development of team members and an emphasis on team culture given the fast expansion of the team and the wider business.

WHAT YOU’LL DO

  • Lead a team of 7 analysts, plus a long-standing agency team of 2-3 extra part-time analysts. 5 of these roles are Direct Reports.
  • Matrix manage our Marketing Data Engineers and a Data Scientist who officially sit outside of the team, but are very much part of the squad.
  • Ensure continued success of BAU support for all our Marketing stakeholders across all channels by enabling the team to overcome blockers, obtain buy-in and manage conflicting priorities.
  • Define and enable the delivery of Marketing Analytics quarterly OKRs and goals, with the team.
  • Refine and deliver on 2 core initiatives that we are currently building up towards:
  • Customer Data Platform implementation and utilisation, through strong data design, solid governance and speedy execution.
  • Marketing Capital Allocation process and execution that enables optimal budgeting across our Marketing Mix, utilising MMM (in-house) and ongoing incrementality tests.

WHAT YOU’LL NEED

Please note: We know that no candidate will be the perfect match for all we've listed in this posting, so we’d encourage you to apply if you feel you're close to the brief but not an exact match.

  • Marketing Analytics specialism:
  • A background in Marketing Analytics, with a passion and deep knowledge of various Marketing channels (including digital and ATL).
  • Particular familiarity with Google channels and platforms is a bonus.
  • Experience in embedding Marketing Capital Allocation into business budgeting; specific experience with MMMs and incrementality is essential.
  • Experience of utilising and/or implementing Martech - especially a Customer Data Platform is desirable.
  • Technically strong:
  • Strong SQL (other programming languages such as Python are a bonus but not essential).
  • Strong analytical thinking and commercial mindset.
  • Experienced leader:
  • Experience leading large teams, and therefore comfortable not being involved in the detail/ day-to-day for the majority of the team, but also able to support more junior members of the team more closely.
  • Previously worked closely with/ managed Data Engineers.
  • Strong interpersonal skills and managing multiple and complex stakeholders.
  • Willing to challenge the status quo, with relevant value-driving ideas.
  • Passionate about team development and cultivating a strong culture of collaboration and a happy, healthy work environment.

WHAT’S IN IT FOR YOU

  • Competitive salary to fund that dream holiday to Bali.
  • Matched pension contributions for a peaceful retirement.
  • Share options - when we thrive, so do you!
  • Vitality Private Healthcare, for peace of mind, plus eyecare vouchers.
  • Life Assurance for (even more) peace of mind.
  • Monthly coaching sessions with Spill - our mental wellbeing partner.
  • Enhanced holiday package, plus Bank Holidays.
  • 28 days annual leave.
  • 1 day for your wedding.
  • 1 day off when you move house - because moving is hard enough without work!
  • For your third year anniversary, get 30 days of annual leave per year.
  • For your tenth year anniversary, get 35 days of annual leave per year.
  • Option to buy 3 extra days of holiday per year.
  • Work from abroad for a month.
  • Inclusive parental, partner and shared parental leave, fertility treatment and pregnancy loss policies.
  • Bubble childcare support and discounted nanny fees for little ones.
  • The latest tech (Macbook or Surface) to power your gif-sending talents.
  • Up to £500/€550 home office allowance for that massage chair you’ve been talking about.
  • Generous learning and development budget to help you master your craft.
  • Regular social events: tech lunches, coffee with the exec sessions, lunch & learn, book clubs, social events/anything else you pester us for.
  • Refer a friend, get paid. Repeat for infinite money.

Diversity and inclusion is an integral part of our culture. We know that diverse teams are strong teams, so we welcome those with alternative identities, backgrounds, and experiences to apply for this position. We make recruiting decisions based on experience, skills and potential, so all our applicants are treated fairly and equally.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.