Marketing Data Analyst

Madfish; Remote; GBP 35,000 - 50,000; Full time

Job summary

A leading marketing analytics firm in the United Kingdom is looking for an experienced Marketing Analyst with 1.5–2+ years in marketing or product analytics. The candidate should possess strong SQL skills and be proficient in Google Sheets and Excel. They will analyze marketing funnels, evaluate channel performance, and identify insights for growth. Experience with mobile metrics and tools like BigQuery is preferred, making this a crucial role for supporting the marketing team in data-driven decision-making.

Qualifications

• 1.5–2+ years of experience in marketing or product analytics.
• Strong SQL skills (BigQuery is a big plus).
• Ability to build dashboards and analytical models.
• Strong understanding of mobile metrics (LTV, CAC, ROAS, retention).

Responsibilities

• Analyze marketing funnels and user behavior.
• Perform cohort, retention, and conversion analysis.
• Evaluate the performance of marketing channels.
• Identify insights, anomalies, and growth opportunities.

Skills

SQL

Marketing analytics

Dashboard building

Mobile metrics

Google Sheets

Excel

Tools

BigQuery

AppsFlyer

Firebase Analytics

RevenueCat

Job description

Responsibilities

• Analyze marketing funnels and user behavior
• Perform cohort, retention, and conversion analysis
• Evaluate the performance of marketing channels: Meta Ads, ASA, Google Ads
• Work with monetization metrics: LTV, CAC, ROAS, ARPU, ARPPU
• Identify insights, anomalies, and growth opportunities
• Work with data from AppsFlyer, Firebase Analytics, RevenueCat
• Build recurring reports, dashboards, and forecasting models
• Support the marketing team with test planning and hypothesis validation

Requirements

• 1.5–2+ years of experience in marketing or product analytics
• Strong SQL skills (BigQuery is a big plus)
• Advanced Google Sheets / Excel:
• Ability to build dashboards and analytical models
• Strong understanding of mobile metrics (LTV, CAC, ROAS, retention)
• Experience working with mobile apps (preferred)
• Ability to work with incomplete data, identify insights, and present conclusions clearly