Marketing Data Analyst (all genders)

📌 Core Information

🔹 Job Title: Marketing Data Analyst (all genders)

🔹 Company: GoStudent

🔹 Location: Milan, Lombardy, Italy

🔹 Job Type: Hybrid (2-3 days in office)

🔹 Category: Marketing & Analytics

🔹 Date Posted: 2025-05-16

🔹 Experience Level: 2-5 years

🔹 Remote Status: On-site (Milan, Italy)

🚀 Job Overview

Key aspects of this role include:

• Partnering with marketing leaders to drive data-driven strategies
• Providing actionable reports and insights to support decision-making
• Collaborating with cross-functional teams to define and monitor KPIs
• Designing and developing data models to empower end users
• Driving adaptation of new tools and technologies in BI area

ASSUMPTION: This role requires a strong background in marketing analytics and digital marketing projects, with a focus on attribution modeling. The ideal candidate will have experience working with BI tools and SQL, and be comfortable collaborating with stakeholders at all levels.

📋 Key Responsibilities

✅ Partner closely with Marketing leaders and stakeholders to shape the marketing strategy through data-driven insights and impactful analysis

✅ Provide and present reports that are actionable for business departments and support the decision making process

✅ Work closely with Data Analysts and Data Engineers, support and mentor colleagues within Data & business teams to build, maintain and improve the set of current dashboards applying best Business Intelligence practices

✅ Collaborate with cross-functional teams to define, refine, organize and monitor key performance indicators (KPIs) that align with business objectives

✅ Design and develop Data Models that empowers end users to answer their own questions

✅ Drive adaptation of new tools & technologies in BI area to maintain a clean, accurate, and efficient data governance framework

✅ Contribute to data-driven decision making through applying advanced analytics and statistics techniques for assessment of marketing and product tests

ASSUMPTION: The role involves a mix of strategic analysis, stakeholder management, and technical implementation. Strong communication skills and the ability to work effectively with various teams are essential for success in this position.

🎯 Required Qualifications

Education: Bachelor's degree in a relevant field (e.g., Marketing, Statistics, Mathematics, or a related discipline)

Experience: Approximately 2 years of experience as a Business Intelligence Analyst / Data Analyst or related role

Required Skills:

• Strong Marketing analytics background, with proven experience in digital marketing projects and proven experience in building and evaluating attribution models
• Proven proficiency in SQL, with strong experience in building clean and meaningful tables
• Exceptional data storytelling skills, a strong understanding of statistics, and hands-on experience with leading BI tools, specifically Tableau and Superset
• Solid understanding of data warehousing concepts, data governance principles, and ETL processes
• Experience with DBT and Amazon Web Services or other cloud computer platforms
• Strong problem solving, analytical thinking and organizational qualities
• Strong communication skills, and ability to effectively collaborate with stakeholders at all levels

Preferred Skills:

• Experience with Python or R for advanced analytics
• Familiarity with marketing automation tools (e.g., HubSpot, Marketo)

ASSUMPTION: While the required skills are specific to the role, candidates with a strong background in marketing analytics and a willingness to learn new tools and technologies are encouraged to apply.

💰 Compensation & Benefits

Salary Range: €45,000 - €60,000 per year (based on experience and market research for similar roles in Milan)

Benefits:

• Flexible Working: 2-3 flexible days per week and a Meeting Free Friday
• Career Development: Clear development paths and the Spark! Growth & Development program
• Learning Opportunities: Access to LinkedIn Learning, Spark! Mentorship program, and monthly learning sessions
• Team Events: Regular team and office events to foster a good atmosphere
• Employee Support Program: 24/7 support for employees and their loved ones

Working Hours: Full-time (40 hours per week) with flexible working hours

ASSUMPTION: The salary range is an estimate based on market research for similar roles in Milan. The benefits package is designed to support work-life balance and professional growth.

📌 Applicant Insights

🔍 Company Context

Industry: Education Administration Programs (EdTech)

Company Size: 1,001-5,000 employees (Global)

Founded: 2016 in Vienna, Austria

Company Description:

• GoStudent is one of the world’s leading tutoring providers and Europe’s highest valued EdTech company
• Founded in Vienna, Austria, in 2016, the venture-backed unicorn has raised more than €590m from investors including Prosus and SoftBank Vision Fund 2
• The company aims to unite the best of the online and offline world to unlock every child’s potential

Company Specialties:

• Tutoring
• Education
• School
• Tutors
• Teaching
• Startup
• Learning
• B2C
• Mobile
• Fast Paced
• Teachers
• Student
• Teenagers
• Kids
• Math
• German
• English
• Online
• Platform
• E-Learning
• Elementary School
• High School
• University
• K-12
• Physics
• Chemistry
• French
• Spanish
• Informatics
• Edtech
• Knowledge
• Digital
• Biology
• Latin
• History
• Geography
• Children
• Parents
• Coaching
• Study
• Study Plan
• Video Tutoring
• Homework
• Mobile App
• Lessons
• Courses
• School Grades
• and Exams

Company Website: http://www.gostudent.at

ASSUMPTION: GoStudent is a fast-growing EdTech company with a strong focus on innovation and employee development. The company's global presence and rapid expansion present exciting opportunities for career growth.

📊 Role Analysis

Career Level: Mid-level (2-5 years of experience)

Reporting Structure: The Marketing Data Analyst will report directly to the Head of Marketing or a similar role

Work Arrangement: Hybrid (2-3 days in the office, with flexible working hours)

Growth Opportunities:

• Progression to a Senior Marketing Data Analyst or similar role
• Expansion into other areas of the business, such as product or operations
• International relocation opportunities as the company continues to grow

ASSUMPTION: This role offers significant opportunities for career growth and development within a dynamic and innovative company.

🌍 Location & Work Environment

Office Type: Modern, collaborative workspace with a focus on employee well-being

Office Location(s): Via Giuseppe Mazzini, 9, Milan, Milan 20123, IT

Geographic Context:

• Milan is the second-largest city in Italy and a major economic hub
• The city is known for its vibrant culture, rich history, and high quality of life
• Milan is well-connected by public transportation, with easy access to international airports

Work Schedule: Full-time (40 hours per week) with flexible working hours

ASSUMPTION: The Milan office provides a collaborative and engaging work environment, with easy access to amenities and public transportation.

💼 Interview & Application Insights

Typical Process:

• Online application review
• Phone or video screening with the HR team
• Technical assessment or case study
• On-site or video interview with the hiring manager and team members
• Final interview with the Head of Marketing or a similar role

Key Assessment Areas:

• Technical skills and experience with marketing analytics and BI tools
• Problem-solving and analytical thinking abilities
• Communication and collaboration skills
• Cultural fit and alignment with company values

Application Tips:

• Tailor your resume and cover letter to highlight your relevant marketing analytics experience and skills
• Prepare for the technical assessment or case study by brushing up on your SQL and BI tools knowledge
• Research the company and the role to demonstrate your enthusiasm and understanding of the business

ATS Keywords: Marketing Analytics, SQL, BI Tools, Attribution Modeling, Data Storytelling, Data Governance, ETL Processes, DBT, Amazon Web Services

ASSUMPTION: The application process for this role is designed to assess both technical skills and cultural fit. Candidates should be prepared to demonstrate their expertise in marketing analytics and their ability to work effectively with stakeholders.

🛠️ Tools & Technologies

• Tableau
• Superset
• SQL
• DBT
• Amazon Web Services
• LinkedIn Learning
• HubSpot (or similar marketing automation tools)

ASSUMPTION: The tools and technologies listed are essential for success in this role. Candidates should have experience with most, if not all, of these tools and be comfortable learning new technologies as needed.

👔 Cultural Fit Considerations

Company Values:

• Impact-driven
• Innovative
• Collaborative
• Ambitious
• Student-centric

Work Style:

• Fast-paced and dynamic
• Data-driven and analytical
• Collaborative and team-oriented
• Adaptable and open to change

Self-Assessment Questions:

• Do you thrive in a fast-paced, innovative environment?
• Are you comfortable working with large datasets and complex analyses?
• Do you enjoy collaborating with cross-functional teams to drive business impact?

ASSUMPTION: GoStudent values candidates who are passionate about education, innovative, and committed to driving impact through data-driven decision-making.

⚠️ Potential Challenges

• Working with large datasets and complex analyses may require long hours and tight deadlines
• Collaborating with cross-functional teams may require strong communication and project management skills
• The fast-paced nature of the company may present challenges for candidates who prefer a more stable work environment
• The hybrid work arrangement may require candidates to commute to the office 2-3 days per week

ASSUMPTION: While the role presents exciting opportunities for career growth and development, it also comes with unique challenges that candidates should be prepared to navigate.

📈 Similar Roles Comparison

• Compared to similar roles in other companies, this role offers a unique opportunity to work in a fast-growing EdTech company with a strong focus on innovation and employee development
• Industry-specific context: The EdTech industry is rapidly evolving, with new technologies and trends emerging constantly
• Career path comparison: This role offers significant opportunities for career growth and development within a dynamic and innovative company

ASSUMPTION: While this role shares similarities with other marketing data analyst positions, it also presents unique opportunities and challenges specific to the EdTech industry and GoStudent's fast-paced, innovative culture.

📝 Sample Projects

• Developing and implementing a new attribution modeling framework to optimize marketing spend
• Creating and maintaining dashboards to monitor key performance indicators and support data-driven decision-making
• Analyzing marketing campaign performance and providing actionable insights to optimize future campaigns

ASSUMPTION: The sample projects listed are representative of the types of analyses and initiatives the Marketing Data Analyst will be expected to undertake in this role.

❓ Key Questions to Ask During Interview

• What are the biggest challenges facing the marketing team currently, and how can this role help address them?
• How does the company support the professional development of its employees, particularly in the area of marketing analytics?
• What is the company's approach to data governance and data quality, and how does this role fit into that framework?
• What are the key priorities for this role in the first 30, 60, and 90 days?
• How does the company foster a culture of collaboration and innovation, particularly in the area of marketing analytics?

ASSUMPTION: The interview questions listed are designed to provide insight into the role's priorities, challenges, and opportunities for professional growth and development.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to highlight your relevant marketing analytics experience and skills
• Prepare for the technical assessment or case study by brushing up on your SQL and BI tools knowledge
• Research the company and the role to demonstrate your enthusiasm and understanding of the business
• Follow up with the hiring manager or HR team one week after submitting your application to inquire about the status of your application

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.