Senior Analyst Marketing Intelligence

MYTHERESA; Barcelona; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading luxury fashion retailer based in Barcelona is seeking a Senior Analyst for their Marketing Intelligence team. The ideal candidate will lead advanced analyses of customer behavior, design dashboards, and drive marketing attribution models. They should have over 6 years of analytical experience, strong SQL skills, and preferably familiarity with Power BI. The role offers up to 32 days of leave, flexible benefits, and opportunities for professional development.

Servicios

Up to 32 days of holiday

Mobile office up to 20% of contracted hours

Language & e-learning courses

Staff discount up to 30%

Private health insurance

Employee Share Purchase Plan

Formación

• 6+ years of experience in analytical roles, ideally within e-commerce or digital marketing.
• Strong experience with large datasets and analytical problems.
• High standards for quality, precision, and ownership.

Responsabilidades

• Lead advanced analysis of customer journey and marketing performance.
• Design and own complex dashboards and reporting frameworks.
• Drive development of marketing attribution models across channels.

Conocimientos

Analytical skills

SQL

Python/R

Data visualization

E-commerce knowledge

Business English

Educación

University degree in informatics, mathematics, data science, economics, or business administration

Herramientas

Power BI

ETL tools

Descripción del empleo

To support our Marketing Intelligence team we are searching for a Senior Analyst Marketing Intelligence to be based in our Barcelona office.

WHAT YOU WILL DO

• Lead advanced analysis of the customer journey and performance marketing behavior, translating insights into actionable recommendations for PM and leadership
• Experience driving end to end projects execution.
• Design, build, and own complex dashboards and reporting frameworks to support decision-making at channel, region, and campaign level
• Drive the development and application of marketing attribution and allocation models across channels (SEA, SEO, Affiliate, Email, Performance Display)
• Act as a strong analytical partner to Performance Marketing, Data Engineering, and MarTech, ensuring scalable and reliable data pipelines
• Own data quality, validation, and consistency, setting standards for accuracy and reliability across MI outputs
• Continuously optimize existing analytical processes and proactively identify opportunities for improvement
• Take ownership of strategic analytical projects, from scoping to delivery, with limited supervision

WHO YOU ARE

• University degree in (business) informatics, mathematics, data science, economics, business administration, or similar
• 6+ years of experience in analytical roles, ideally within e-commerce, digital marketing, or performance-driven environments
• Strong experience working with large datasets and complex analytical problems
• Advanced technical skills (SQL required; Python/R strongly preferred; Excel and ETL experience expected)
• Marketing Mix Modelling is highly valued
• Experience with Power BI or similar BI tools
• Solid understanding of performance marketing channels, ad-tech, and web tracking
• Strong business acumen with the ability to connect analysis to commercial decisions
• High standards for quality, precision, and ownership
• Proactive, self-driven team player who is comfortable operating independently
• Fluent in Business English

WHAT WE OFFER

• Up to 32 days of holiday, depending on the length of service, starting with 28 days (excluding public holidays and weekends)
• Mobile office with up to 20% of your total contracted hours (job and position permitting)
• 10 days/year of mobile office abroad in EU-countries (job and position permitting)
• Language & e-learning courses
• Staff discount of up to 30%
• Flexible remuneration benefits (ticket restaurant, ticket transport and ticket child care (guardería))
• Discounted membership for selected sports platforms & gyms
• Private health insurance
• Access to LinkedIn Learning
• Individual support on mental health & well-being
• Social Day
• Employee Share Purchase Plan