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⚡ Source: ReedRef: 56868285

Senior Marketing Analyst

Harnham - Data & Analytics Recruitment·London·Posted 3 weeks ago
💻 100% remote💰 £65-70k/year⭐ Senior
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Job description

Original text imported from Reed


Senior Marketing Analyst
Fully Remote (UK) | Up to £70,000 + equity options + quarterly bonus

This is a great opportunity to join a high-growth, digital-first business where marketing decisions are genuinely data-led. You will shape how performance marketing is measured, reported, and optimised, while working with a modern data stack and a growing central data team.

The Company

They are a fast-scaling, subscription-based consumer marketplace with a strong international presence. Their model is built around a two-sided membership community, and they are investing heavily in data to drive smarter growth decisions. Over the past six months, they have been building a modern data platform from the ground up, introducing tools such as dbt and Databricks. Data is central to their strategy, and marketing analytics is a key area of focus for future growth.

The Role

As a Senior Marketing Analyst, you will sit within the Marketing Analytics function and act as a strategic partner to growth and marketing leaders. You will:

  • Work with marketing stakeholders to understand growth questions and translate them into clear analytical projects.
  • Analyse channel and campaign performance to inform budget allocation and investment decisions across paid and owned channels.
  • Deep dive into the end-to-end customer journey, from initial visit to registration, membership, and purchase.
  • Identify behavioural indicators and patterns that predict conversion and retention.
  • Develop and refine customer segments to improve targeting across paid media and CRM.
  • Support the development of marketing mix modelling (MMM) capabilities.
  • Build and maintain dashboards and self-serve tools that bring performance and insights to life for non-technical stakeholders.
  • Help improve data foundations and data models that power marketing analytics and reporting.

Your Skills & Experience

You will be a strong fit for this Senior Marketing Analyst position if you have:

  • Strong commercial experience using SQL to query and manipulate large datasets.
  • Proven experience in marketing analytics, ideally with a focus on paid performance marketing.
  • Hands-on experience with data visualisation tools such as Tableau or Looker (or similar BI tools).
  • A background working in a marketplace, start-up, or scale-up environment where you have influenced growth or acquisition strategy.
  • Experience working across channels such as paid social, paid search, CRM, and/or influencer marketing.
  • Confidence working directly with senior stakeholders, communicating complex analysis in a clear, actionable way.
  • A proactive, problem-solving mindset and a genuine interest in understanding customer behaviour and the full customer journey.

What They Offer

  • Salary in the range of £70,000 - £80,000, depending on experience.
  • Equity options plus a quarterly performance bonus structure.
  • Fully remote working within the UK, with flexibility and trust.
  • The chance to join at a pivotal stage as the data platform and marketing analytics function are being built out.
  • Significant scope to influence marketing strategy, measurement frameworks, and advanced analytics capabilities.
  • Opportunities to grow your career as they expand their data, analytics, and marketing teams and move further into predictive modelling and advanced analytics.

How to Apply

If you are a Senior Marketing Analyst looking to have a real impact on growth strategy in a modern, data-driven business, please apply with your CV to be considered.


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Key skills

AI-extracted from the job advert

Must-have skills
SQLMarketing AnalyticsData Visualisation ToolsPaid Performance MarketingMarketplace ExperienceStakeholder Communication
Nice-to-have
dbtDatabricksMarketing Mix ModellingCustomer Journey AnalysisScale-up Environment Experience
Soft skills
Stakeholder CommunicationProblem SolvingStrategic ThinkingAnalytical MindsetProactive ApproachCommercial Acumen
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

⭐ Highlight your SQL expertise prominently as this is explicitly mentioned as essential for querying large datasets

2

📊 Quantify your marketing analytics impact: 'Improved conversion rates by 23% through customer journey optimisation'

3

🎯 Emphasise marketplace or scale-up experience as they specifically value this background for growth strategy influence

4

🔧 Showcase your experience with modern data stack tools like dbt and Databricks which they're actively implementing

5

💼 Demonstrate stakeholder communication skills by describing how you've translated complex analysis into actionable insights for senior leaders

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Suggested CV bullets

3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.

How to tailor your CV

Add these 3 bullets under your most recent experience:

  • Built marketing mix modelling framework using SQL and Databricks, enabling £2.4M budget reallocation across paid social and search channels
  • Developed customer segmentation model analysing 150,000+ user journeys, improving CRM targeting conversion rates by 31%
  • Created automated Tableau dashboards for 8 senior stakeholders, reducing manual reporting time by 15 hours weekly while improving campaign optimisation speed

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Letter preview — tailored to Harnham - Data & Analytics Recruitment

Dear Hiring Manager,

Your Senior Marketing Analyst position at this fast-scaling subscription marketplace immediately caught my attention, particularly the opportunity to work with modern data stack tools like dbt and Databricks while shaping marketing mix modelling capabilities. My background in SQL-driven marketing analytics and experience with data visualisation tools like Tableau aligns perfectly with your need for someone who can translate growth questions into actionable analytical projects.

My background in marketplace environments has equipped me with the commercial acumen to analyse end-to-end customer journeys and develop segmentation strategies that drive conversion and retention improvements across paid and owned channels.

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SpeedCV AI

Interview questions

10 questions generated from this advert.

Technical

  • How would you approach building a marketing mix model from scratch for a subscription marketplace?
  • Walk me through how you'd analyse the end-to-end customer journey using SQL and data visualisation tools
  • How would you set up customer segmentation for a two-sided marketplace to improve targeting?
  • Describe your experience with dbt and how you'd use it to improve marketing data foundations
  • How would you measure and optimise performance across multiple paid channels like social, search, and influencer marketing?

Behavioural

  • Tell me about a time you influenced a major marketing budget allocation decision through your analysis
  • Describe a situation where you had to communicate complex analytical findings to non-technical senior stakeholders
  • Give an example of when you identified a key behavioural pattern that significantly improved conversion rates
  • Tell me about a challenging analytical project where you had to work closely with marketing teams to solve a growth problem
  • Describe a time when you had to build something from scratch in a fast-paced startup environment
SpeedCV AINEW

STAR answer examples

Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.

1Question

Tell me about a time you influenced a major marketing budget allocation decision through your analysis

When I noticed our paid social campaigns were showing declining ROAS despite increased spend, I conducted a deep-dive analysis using SQL to examine 6 months of campaign data across Facebook and Instagram. I discovered that our highest-performing audience segments were being under-allocated by 40% compared to broader targeting approaches. I built a comprehensive Tableau dashboard showing channel performance by audience segment and presented findings to the CMO and growth team. My analysis revealed that reallocating £180,000 from broad targeting to high-intent segments could improve overall ROAS by 28%. The leadership team implemented my recommendations immediately, resulting in £312,000 additional revenue over the following quarter while maintaining the same total ad spend.
2Question

Describe a situation where you had to communicate complex analytical findings to non-technical senior stakeholders

Our CEO wanted to understand why customer acquisition costs had increased 45% quarter-over-quarter despite similar campaign performance metrics. I analysed the complete customer journey using SQL, examining 25,000 user sessions across 8 touchpoints. The data revealed that while top-funnel metrics remained stable, conversion rates dropped significantly at the trial-to-paid stage due to onboarding friction. Rather than presenting raw data, I created a visual story using simple charts showing the customer journey as a funnel, highlighting where users were dropping off. I translated technical findings into business impact: 'We're losing £89,000 monthly in potential revenue due to onboarding issues.' This clear presentation led to immediate product team involvement and a 22% improvement in trial-to-paid conversion within 6 weeks.

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