Marketing Data Analyst

The Level Group; Milano; In loco; EUR 35.000 - 50.000; Tempo pieno

Descrizione del lavoro

A dynamic marketing firm in Milan is seeking a Marketing Data Analyst to ensure data quality and provide actionable insights. The ideal candidate will have 3+ years in data analysis and expertise in GA4 and digital analytics tools. This role requires strong attention to detail and the ability to communicate complex data findings effectively. The company offers benefits including educational programs and a vibrant work environment.

Servizi

Monthly lunch tickets

Company laptop

Local discounts

Competenze

• 3+ years of experience in data analysis, preferably in a marketing, e-commerce, or digital environment.
• Strong command of GA4 and digital analytics tools.
• Experience with predictive modeling and machine learning techniques is highly valued.

Mansioni

• Ensure data quality, consistency, and reliability across platforms.
• Monitor tracking anomalies on GA4 and resolve technical issues.
• Develop customized dashboards for performance metrics.

Conoscenze

Data analysis

Digital analytics

Data visualization

Predictive modeling

Attention to detail

Proficiency in Italian

Proficiency in English

Formazione

Educational background in Data Science, Economics, or related fields

Strumenti

GA4

BigQuery

Google Tag Manager

Power BI

Looker Studio

Tableau

Descrizione del lavoro

We are looking for a Marketing Data Analyst to join our Marketing team in Milan and play a key strategic role in data interpretation and advanced analytics.

This role will work at the intersection of Marketing and Tech, with the mission to ensure data accuracy, unlock actionable insights, and support data-driven decision making across channels, brand partners and ventures. As a key analytical partner, you will manage tracking systems, improve the quality of data flows, and collaborate on advanced analysis, modeling, and visualization to optimize marketing performance and strategic outcomes.

What you'll do:

• Ensure the quality, consistency, and reliability of all collected data, and guarantee they’re correctly visualized across platforms (GA4, dashboards, BI tools) and ready for reporting needs.
• Monitor tracking anomalies on GA4, elevate technical issues to the Tech team, and support their resolution.
• Configure and maintain custom GA4 reports to analyze website performance and user interactions (e.g., scrolls, videos, wish lists, product rankings) and extract strategic insights.
• Partner with Brand Marketing and Channels teams to set up advanced analysis frameworks and test alternative attribution models.
• Research, propose, and contribute to the implementation of predictive models, including customer segmentation and behaviors, using machine learning and statistical algorithms.
• Collaborate with the Tech team to develop and manage customized dashboards, integrating GA4 events and performance metrics, to deliver deep insights into user journeys and conversion funnels.
• Encourage data literacy through regular training sessions and process documentation/standardization.

What we're looking for:

• 3+ years of experience in data analysis, preferably in a marketing, e-commerce, or digital environment.
• Educational background in Data Science, Economics, Data analysis, or related fields.
• Strong command of GA4 and digital analytics tools; experience with BigQuery and Google Tag Manager is a plus.
• Familiarity with data visualization and BI tools (e.g., Power BI, Looker Studio, Tableau).
• Solid understanding of marketing performance metrics, attribution models, and user behavior analytics.
• Proactive mindset, attention to detail, and the ability to translate complex data into actionable insights for non‑technical stakeholders.
• Experience with predictive modeling, statistical methods, and machine learning techniques is highly valued.
• Proficiency in Italian and English.

What we offer:

• Benefits: monthly lunch tickets, company laptop, discounts to our owned brands and brand partners, and additional perks in the form of local discounts and offers.
• Learning & Development Programs: continuous learning experience with TLG University and The Breakfast Club projects.
• Be part of the young (31 on avg.) and international (30 nationalities) #TLGPeopleTeam and work in a dynamic and fast‑moving environment.

Seniority level

Associate

Employment type

Full‑time

Job function

Marketing

Industries

Software Development and Retail Apparel and Fashion

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