Marketing Analytics - 6 Month Internship
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Marketing Analytics Intern: Analyze campaign, customer, and performance data to uncover actionable insights driving 's global growth strategies with an accent on SQL querying, dashboard building, and experiment evaluation. Focus on extracting, cleaning datasets, creating visualizations, and presenting findings to support data-driven decisions across marketing and product teams.
Location: Hybrid in London, UK. Office in Old Street; must be available to work full time for 6 months.
Company
Global technology platform for luxury fashion, connecting creators, curators, and consumers.
What you will do
- Analyze campaign, customer, and performance data to uncover actionable insights.
- Write SQL queries and use tools to extract, clean, and interpret large datasets.
- Build and maintain dashboards, reports, and visualizations for key metrics.
- Evaluate experiments, campaigns, and growth initiatives for performance and improvements.
- Collaborate with marketing, product, and data teams to support decision-making.
- Present findings clearly to transform data into practical recommendations.
Requirements
- Currently pursuing or recently completed a degree in Mathematics, Statistics, Economics, Computer Science, or related quantitative field.
- Must be available to work full time for 6 months in London, UK (hybrid).
- Comfortable working with data and eager to develop analytical skills.
- Familiarity with SQL strongly preferred; Python, R, or BI tools a plus.
- Curious, proactive, able to solve problems using data.
- Can communicate insights to technical and non-technical audiences.
- Interested in marketing, customer behavior, and growth strategy.
Culture & Benefits
- Diverse Marketing team with data-driven approach, test-and-learn culture, and collaboration.
- Open-plan office in London's Old Street tech hub with outdoor terrace and yoga studio.
- Inclusive environment empowering individuality and diverse perspectives.
- Opportunity to learn from experienced analysts in a culture of experimentation and curiosity.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β