Marketing Intelligence Analyst

InterGame Ltd; France; À distance; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A gaming company in France is seeking a Marketing Intelligence Analyst to translate performance data into actionable insights. This role involves analyzing marketing metrics, building dashboards, and presenting findings to leadership. Candidates should have 2–4 years of experience in marketing analytics and strong problem-solving skills. Advanced Excel skills and familiarity with data visualization tools are required.

Qualifications

• 2–4 years of experience in marketing analytics, performance marketing, or growth intelligence.
• Background in social, sweepstakes, or crypto casino is a must.
• Proven ability to connect marketing data to business outcomes.

Responsabilités

• Track and interpret marketing performance metrics across all channels.
• Build and maintain dashboards showing key metrics.
• Analyse user retention cohorts on a regular basis.
• Identify trends that impact re‑engagement and churn.
• Present actionable insights to the CMO.

Connaissances

Analytical mindset

Problem-solving skills

Data visualisation

Communication skills

Detail-oriented

Outils

Excel

Google Sheets

Looker Studio

Power BI

SQL

GA4

Description du poste

Marketing Intelligence Analyst

We’re seeking a Marketing Intelligence Analyst to own the numbers behind our marketing department. This role focuses on translating performance data into clear, actionable insights that drive smarter ad spend, improve retention, and identify the true ROI of our marketing channels and games. You’ll work across acquisition, retention, and growth, analysing how users move through the funnel, how campaigns impact long‑term value, and why specific games or events drive spikes in user activity.

This isn’t a reporting role. It’s about understanding the why behind the numbers and helping leadership make better, data‑driven decisions.

Key Responsibilities

• Track and interpret marketing performance metrics across all paid and organic channels (Google, AdRoll, influencers, etc.).
• Build and maintain dashboards showing daily/weekly/monthly spend, CPA, CVR, retention, and LTV.
• Analyse user retention cohorts on a weekly and monthly basis.
• Identify behavioural trends and lifecycle stages that impact re‑engagement and churn.
• Develop and refine models for true CPA and ROAS by source, campaign, and geography.
• Attribute spikes in engagement or deposits to specific events, influencers, or content.
• Create formulas and predictive models to estimate user LTV per channel, campaign, and game vertical.
• Work with finance and marketing to forecast growth and set spend caps accordingly.
• Detect short‑term growth surges (e.g., “sportsbook volume up 20% due to viral tweet”) and explain why.
• Build automated alerts or short briefs for the team to act on high‑impact changes.
• Collaborate closely with marketing, finance, and product teams to align insights with business goals.
• Provide weekly executive summaries and present actionable insights directly to the CMO.

Core Competencies

• Analytical mindset with strong problem‑solving skills.
• Clear communicator who can turn complex data into actionable insights.
• Detail‑oriented and highly organised in handling multiple data sources.
• Curious and investigative, always seeking to understand the “why.”
• Comfortable working autonomously in a fast‑moving, ambiguous environment.

Technical Skills

• Advanced Excel/Google Sheets (complex formulas, data modelling, LTV calculations).
• Strong command of data visualisation tools (Looker Studio, Power BI, Tableau, etc.).
• Understanding of key marketing metrics (CPA, CVR, ROAS, CAC:LTV, retention curves).
• Experience working with large datasets (SQL or basic Python knowledge is a plus).
• Familiarity with tracking platforms such as GA4, Mixpanel, or similar tools.

Qualifications & Experience

• 2–4 years of experience in marketing analytics, performance marketing, or growth intelligence.
• Background in social, sweepstakes, or crypto casino is a must.
• Proven ability to connect marketing data to business outcomes.
• Preferred: experience in gaming, esports, or gambling analytics.
• Preferred: understanding of user funnel optimisation and event tracking.