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⚡ Source: ReedRef: 56868290

Lead Marketing Analyst

Harnham - Data & Analytics Recruitment·London·Posted 3 weeks ago
💻 100% remote💰 £60-80k/year
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Job description

Original text imported from Reed

Lead Marketing Analyst

Location: Fully remote (UK-based)
Salary: Up to £80k + 10% bonus

About the Business

A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around:

  1. Expanding and strengthening its core digital products.

  2. Enhancing customer experience to drive engagement and loyalty.

  3. Building stronger community connections and marketing reach.

The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams.

The Role

This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space.

You'll take full ownership of the marketing analytics function, line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You'll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level.

What You'll Be Doing
  • Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact.

  • Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs).

  • Improving campaign decision-making through attribution, incrementality, and media mix modelling.

  • Partnering with Data Science to build predictive models (LTV, churn).

  • Owning and refining marketing forecast models for budget and performance planning.

  • Using statistical analysis to optimise testing methodologies and outcomes.

  • Developing best practice, transparent reporting, and actionable insights.

  • Managing stakeholders across the business to improve marketing decisions.

  • Building strong cross-functional relationships to promote a data-driven culture.

  • Working with Data Engineering to manage data requirements and ensure quality deliverables.

Candidate Profile

Background

  • Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps.

  • Must have a strong B2C focus.

Experience

  • Proven track record in marketing analytics.

  • Comfortable leading and mentoring others.

  • Strong stakeholder management and presentation skills.

  • Line management experience (desirable but not essential).

Technical Skills

  • SQL (essential).

  • Power BI / Looker.

  • Data visualisation expertise (Snowflake desirable).

  • Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous).

Package & Benefits
  • ~£80k base salary + 10% bonus.

  • Private healthcare (including dental).

  • 6% pension contribution.

  • Life insurance + employee assistance programme.

  • Enhanced family leave.

  • 25 days holiday + bank holidays (buy/sell option).

  • Flexible working hours.

Interview Process
  1. 1st stage: Zoom interview with senior marketing leadership.

  2. 2nd stage: Take-home task + panel presentation.

  3. 3rd stage: Final interview with executive team.


SpeedCV AI

Key skills

AI-extracted from the job advert

Must-have skills
SQLMarketing analytics experienceB2C focusPower BI or LookerStakeholder managementData visualisation
Nice-to-have
Gaming industry experienceSnowflakeAttribution modellingMedia mix modellingLTV modellingChurn predictionLine management experienceIncrementality testing
Soft skills
LeadershipMentoringStakeholder managementPresentation skillsCross-functional collaborationCommunicationAnalytical thinking
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

⭐ Highlight your SQL expertise and Power BI/Looker experience prominently as these are essential technical requirements

2

📊 Quantify your marketing analytics impact: 'Improved campaign ROI by 25% through attribution modelling across 8 channels'

3

🎮 Emphasise any gaming, e-commerce, or subscription business experience as the role specifically values B2C digital backgrounds

4

🔍 Showcase your full-funnel analytics experience, mentioning web analytics, attribution partners, and CDP work

5

👥 Demonstrate leadership capabilities by highlighting team management and stakeholder presentation experience at senior levels

NEW
AI SpeedCV

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:

  • Led marketing analytics team of 3 analysts, delivering attribution insights that optimised £2.4M annual ad spend across 12 channels and improved campaign ROI by 28%
  • Built comprehensive LTV and churn prediction models using SQL and statistical analysis, enabling £180k reduction in customer acquisition costs through improved targeting
  • Presented monthly marketing performance insights to C-suite stakeholders, influencing strategic decisions on £5M marketing budget allocation across subscription tiers

Free to copy — tailoring requires a 30-sec CV upload.

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AI cover letter

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Letter preview — tailored to Harnham - Data & Analytics Recruitment

Dear Hiring Manager,

Your Lead Marketing Analyst position at this PE-backed digital business represents exactly the strategic analytics leadership role I've been seeking. With proven expertise in SQL-driven marketing analytics and full-funnel attribution modelling, I'm excited to own the marketing analytics function and drive data-driven decision-making at board level.

My background in B2C subscription analytics, combined with experience in stakeholder management and team leadership, positions me well to deliver the cross-platform customer analysis and predictive modelling capabilities your transformation requires. I'm particularly drawn to the opportunity to build LTV and churn models whilst modernising the analytics approach.

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SpeedCV AI

Interview questions

10 questions generated from this advert.

Technical

  • How would you approach building a media mix model for a subscription business with multiple acquisition channels?
  • Walk me through your process for implementing incrementality testing for marketing campaigns
  • How do you handle attribution modelling across web, mobile app, and offline touchpoints?
  • Describe your experience with customer lifetime value modelling and churn prediction
  • How would you set up marketing forecast models for budget planning in a subscription business?

Behavioural

  • Tell me about a time you had to present complex marketing analytics insights to board-level stakeholders
  • Describe a situation where you had to influence marketing strategy through data-driven recommendations
  • How do you approach mentoring junior analysts and building their technical capabilities?
  • Give an example of when you had to manage competing priorities from different marketing stakeholders
  • Tell me about a time you identified a significant issue with marketing attribution and how you resolved it
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 had to present complex marketing analytics insights to board-level stakeholders

When our subscription business faced 15% churn increase, I was tasked with presenting attribution analysis to the board. I discovered through SQL analysis of 240,000 customer journeys that our attribution model was crediting 68% of conversions to last-click, masking the true impact of upper-funnel channels. I prepared a comprehensive presentation showing how display advertising actually drove 34% more qualified leads than reported. I used clear visualisations in Power BI to demonstrate the £420,000 annual impact of rebalancing our media mix. The board approved my recommendation to increase upper-funnel spend by 25%, resulting in 12% improvement in customer quality scores within 3 months.
2Question

How do you approach mentoring junior analysts and building their technical capabilities?

When I inherited a team including two junior analysts struggling with SQL optimisation, I implemented a structured development approach. I created weekly technical sessions focusing on query performance, starting with basic indexing concepts and progressing to complex window functions. I assigned each analyst ownership of specific reporting dashboards, providing hands-on coaching during our daily standups. For one analyst working on customer segmentation, I guided them through building their first cohort analysis, which reduced query runtime from 45 minutes to 8 minutes. Within 6 months, both analysts were confidently handling stakeholder requests independently, and our team's overall delivery speed improved by 40%.

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