Marketing Data Analyst

📌 Core Information

🔹 Job Title: Marketing Data Analyst

🔹 Company: Pix4D

🔹 Location: Madrid, Spain (Remote/Hybrid)

🔹 Job Type: Full-Time

🔹 Category: Marketing

🔹 Date Posted: May 12, 2025

🔹 Experience Level: 2-4 years

🔹 Remote Status: Hybrid (Flexible working time and partial remote work possible)

🚀 Job Overview

Key aspects of this role include:

• Implementing and maintaining data infrastructure for marketing operations
• Analyzing web traffic, user behavior, and campaign performance to uncover actionable insights
• Ensuring data reliability and consistency, and maintaining clear documentation
• Designing and maintaining dashboards, reports, and visualizations to track key marketing KPIs
• Working closely with the Growth Marketeer to build a data culture within the team

ASSUMPTION: This role requires a proactive self-starter who can build their own roadmap, identify gaps and opportunities, and actively shape the role.

📋 Key Responsibilities

✅ Implement and maintain data infrastructure, including:

• Identifying data sources (e.g., Google Ads, GA4, HubSpot, Mixpanel, Algolia, Sprout Social, Google Search Console, Firebase)
• Choosing an ETL tool (e.g., Funnel / BigQuery)
• Setting up a data warehouse (e.g., Google Cloud)
• Connecting BI tools (e.g., Looker Studio)

✅ Analyze web traffic, user behavior, campaign performance, and lead/customer data to uncover actionable insights that drive growth and efficiency

✅ Ensure the reliability and consistency of the data used, by validating definitions, spotting inconsistencies, and maintaining clear documentation

✅ Design and maintain dashboards, reports, and visualizations to track key marketing KPIs and present them clearly to stakeholders

ASSUMPTION: This role requires strong analytical skills, business acumen, and the ability to translate complex data into clear business insights.

🎯 Required Qualifications

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

Experience: 2 to 4 years of experience in a Data Analyst role, ideally within marketing, product, or growth teams

Required Skills:

• Strong analytical skills and business acumen
• Solid experience with tools in the Google ecosystem (BigQuery, GA4, Firebase, and Google Tag Manager)
• Familiarity with APIs, Apps Script, and data integration tools like Zapier
• Experience working with marketing platforms such as HubSpot CRM, Google Ads, Algolia, and Mixpanel
• Excellent communication skills, both written and spoken in English
• Proficient in SQL and basic scripting for data transformation and automation

Preferred Skills:

• Experience automating workflows and data pipelines using Apps Script, APIs, or similar tools
• Hands-on experience with data modeling, attribution, or audience segmentation in SaaS environments
• Familiarity with Funnel.io or equivalent ETL/data pipeline platforms

ASSUMPTION: While not explicitly stated, proficiency in Spanish is likely beneficial for this role, given the location in Madrid.

💰 Compensation & Benefits

Salary Range: €35,000 - €45,000 per year (Estimated based on industry standards for a mid-level Data Analyst role in Madrid)

Benefits:

• Private Health Insurance with Mapfre
• Access to Gympass
• Mental, Legal, and Financial assistance program
• Flexible benefits with Cobee by Pluxee (childcare, transportation, restaurants)
• 25 days of paid vacation
• Company Social Events like the yearly fondue in Switzerland
• Discounts for different activities and services with WeWork membership

Working Hours: Full-time (40 hours per week) with flexible working hours and partial remote work possible

ASSUMPTION: The salary range provided is an estimate based on industry standards for a mid-level Data Analyst role in Madrid. Actual compensation may vary based on experience and qualifications.

📌 Applicant Insights

🔍 Company Context

Industry: Software Development, specifically photogrammetry and drone mapping software for professionals

Company Size: 201-500 employees (According to LinkedIn)

Founded: 2011

Company Description:

• Pix4D empowers professionals worldwide to digitize reality through survey-grade 2D maps and 3D models
• The company builds solutions that take advantage of technology, including reality capture, computer vision, digital twins, and machine learning
• Pix4D has its headquarters in Lausanne, Switzerland, with commercial and R&D offices in Denver, Berlin, Bucharest, Tokyo, and Madrid

Company Specialties:

• Photogrammetry
• Image Processing
• 3D Reconstruction
• GIS
• NDVI
• Precision Agriculture
• Orthomosaics
• Construction
• Surveying
• Software Development
• Cloud
• commercial drone
• visual data
• drone mapping
• 3D visual data
• machine learning
• computer vision
• Public Safety
• digital twin
• and BIM

Company Website: Pix4D

ASSUMPTION: Pix4D promotes diversity and offers opportunities across all levels and career paths in all of its offices, regardless of gender, race, or religion.

📊 Role Analysis

Career Level: Mid-level (2-4 years of experience)

Reporting Structure: This role reports directly to the Growth Marketeer and works closely with the marketing team

Work Arrangement: Hybrid (Flexible working time and partial remote work possible)

Growth Opportunities:

• Potential career progression into a senior or management role within the marketing or data analytics team
• Opportunities to work on diverse projects and gain exposure to various aspects of the business
• Chance to learn and develop skills in a dynamic and innovative environment

ASSUMPTION: While not explicitly stated, there may be opportunities for international travel or relocation to other Pix4D offices, depending on the company's growth and the individual's performance.

🌍 Location & Work Environment

Office Type: Hybrid (Flexible working time and partial remote work possible)

Office Location(s): Madrid, Spain

Geographic Context:

• Madrid is the capital and largest city of Spain, with a population of approximately 3.3 million
• The city is known for its vibrant culture, rich history, and diverse industries, including technology, finance, and tourism
• Madrid offers a high quality of life, with numerous parks, museums, and cultural attractions

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

ASSUMPTION: The work environment at Pix4D is authentic and multicultural, with a focus on respect, learning, and collaboration.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening with the hiring manager
• Technical assessment or case study
• Final interview with the team

Key Assessment Areas:

• Data analysis and interpretation skills
• Technical proficiency with relevant tools and platforms
• Communication and presentation skills
• Problem-solving and critical thinking
• Cultural fit and alignment with Pix4D's values

Application Tips:

• Tailor your resume and cover letter to highlight relevant skills and experiences for this role
• Be prepared to discuss your approach to data analysis and problem-solving
• Demonstrate your ability to translate complex data into clear business insights
• Showcase your passion for data and marketing, and your eagerness to learn and grow in the role

ATS Keywords: Marketing Data Analyst, Data Analysis, Google Ads, GA4, HubSpot, Mixpanel, Data Visualization, SQL, APIs, Data Integration, Communication, Automation, Data Infrastructure, Dashboard Design, Web Traffic Analysis, User Behavior Analysis, Campaign Performance Analysis

ASSUMPTION: Pix4D uses standardized and structured interviews to ensure all candidates are treated equally and avoid any discrimination.

🛠️ Tools & Technologies

• Google Cloud (BigQuery, CloudSQL, Dataflow)
• Looker Studio
• Google Ads
• GA4
• Firebase
• Google Tag Manager
• HubSpot CRM
• Algolia
• Mixpanel
• Funnel.io (or equivalent ETL/data pipeline platforms)
• Apps Script
• SQL
• Zapier

ASSUMPTION: The specific tools and technologies used may evolve over time as the company grows and adapts to new challenges.

👔 Cultural Fit Considerations

Company Values:

• Passionate
• Positive
• Collaborative
• Respectful

Work Style:

• Proactive and self-motivated
• Data-driven and analytical
• Collaborative and team-oriented
• Adaptable and open to learning

Self-Assessment Questions:

• Do I have a strong passion for data and a desire to uncover insights that drive business growth?
• Am I comfortable working in a dynamic and multicultural environment, collaborating with a diverse team?
• Do I have a proactive and self-motivated approach to my work, with a strong initiative to build my own roadmap and identify opportunities?

ASSUMPTION: Pix4D values diversity and inclusion, and seeks candidates who can contribute to a positive, collaborative, and respectful work environment.

⚠️ Potential Challenges

• Working with large and complex datasets, requiring strong analytical and technical skills
• Keeping up with the latest trends and best practices in data analysis and marketing, as the field is constantly evolving
• Balancing the need for data-driven decision-making with the need for quick and agile marketing campaigns
• Ensuring the reliability and consistency of data, while maintaining clear documentation and communication with stakeholders

ASSUMPTION: While these challenges may present obstacles, they also offer opportunities for growth and learning in the role.

📈 Similar Roles Comparison

• Compared to other marketing data analyst roles, this position places a stronger emphasis on data infrastructure and maintenance
• This role requires a broader range of technical skills, including experience with APIs, Apps Script, and data integration tools
• Career progression in this role may lead to senior or management positions within the marketing or data analytics team

ASSUMPTION: While this role shares similarities with other marketing data analyst positions, it also has unique aspects that set it apart, such as the focus on data infrastructure and the opportunity to work with a diverse range of marketing platforms.

📝 Sample Projects

• Designing and implementing a data warehouse for marketing operations using Google Cloud
• Automating data pipelines and workflows using Apps Script, APIs, or similar tools
• Analyzing campaign performance and user behavior to optimize marketing strategies and improve ROI
• Developing and maintaining dashboards and reports to track key marketing KPIs and present insights to stakeholders

ASSUMPTION: These sample projects illustrate the range of responsibilities and opportunities available in this role, but the specific projects may vary based on the company's needs and the individual's skills and interests.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and dynamics within the marketing team?
• How does this role fit into the company's overall data strategy, and what are the key priorities for the first 90 days?
• What are the most challenging aspects of this role, and how can I best prepare to succeed in them?
• How does Pix4D support the professional development and growth of its employees, particularly in the data analytics and marketing fields?
• What are the key performance indicators (KPIs) for this role, and how will my success be measured?

ASSUMPTION: Asking thoughtful and insightful questions demonstrates your interest in the role and your commitment to success.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application and CV in English through the provided link
• Tailor your resume and cover letter to highlight relevant skills and experiences for this role
• Prepare for a phone or video screening with the hiring manager, focusing on your data analysis and problem-solving skills
• Complete a technical assessment or case study, demonstrating your ability to analyze data and present insights
• Prepare for a final interview with the team, showcasing your cultural fit and alignment with Pix4D's values
• Follow up with the hiring manager after the interview, expressing your interest in the role and any additional questions you may have

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