Senior CRO Analyst

Harnham
London
4 days ago
Applications closed

Related Jobs

View all jobs

Market Risk - Senior IT SME

Senior Online Trading Manager

Senior Ecommerce Manager

Digital Marketing Executive (CRO)

Director, Business Development - UK (Basé à London)

Director - Digital & Growth Marketing

Senior CRO Analyst

Location:Holborn (2x per week)
Salary:£65,000 per annum

About the Role:

A leading international marketing agency is seeking a Senior Conversion Rate Optimisation (CRO) Analyst to join their growing Data & Strategy team. This is a key opportunity to work on high-profile accounts and take ownership of the CRO space for a major automotive brand. You'll collaborate with a talented Data Science team, driving data-driven insights to optimise customer journeys and improve conversion rates.

Key Responsibilities:

  • Lead strategy development and create impactful presentations (decks) for clients, focusing on key areas such as UX, finance, forms, and more.

  • Collaborate with Data Scientists to extract insights from GA4 data, ensuring the right questions are answered and actionable narratives are created.

  • Manage web analytics tasks, from data interpretation to setting up and understanding tagging and events.

  • Brief data science teams, use tools like Omnibug to optimize the tracking and analysis of user behaviour.

  • Regularly engage with clients through workshops, planning sessions, and offering insights that drive strategic decisions.

  • Analyse user journey data to identify hypotheses for A/B testing and conversion rate optimization, and collaborate with external agencies to implement tests.

Skills & Experience:

  • 5+ years of experiencein Web Analytics, CRO, or a similar role, ideally within a digital/marketing agency.

  • Strong experience withweb analytics toolssuch as Adobe Target, Medallia, MXO, or Decibel, and a deep understanding ofcustomer/user journey analytics.

  • Expertise inA/B testing and CROmethodologies, with the ability to develop data-driven hypotheses.

  • Data Science Knowledge: Familiarity with concepts like clustering, predictive modelling, and basic statistical techniques.

  • Technical Skills: Knowledge ofBigQuery/SQL/Pythonis desirable but not essential.

  • Strongcommunication skills- experience presenting to clients and collaborating with internal teams.

  • Experience working with large clientsin complex environments is a plus.

Why Join?

  • Work with a global, well-established marketing agency offering professional growth.

  • Engage in a mix of strategic thinking and hands-on data work for high-profile clients.

  • Competitive salary and travel expenses covered for client meetings outside London.

The Process:

  1. Initial interview with Talent Acquisition (if applicable).

  2. Online interview with the Data Science Manager and potentially the Data & Strategy Director.

  3. In-person interview with a presentation: Present a recent project you've worked on, showcasing your experience in CRO and analytics.

If you're passionate about data storytelling, CRO, and web analytics, apply now to take your career to the next level!

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.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.