π Core Information
πΉ Job Title: Data Translator voor Marketing
πΉ Company: Rabobank
πΉ Location: Utrecht Croeselaan 18, Netherlands
πΉ Job Type: Full-time
πΉ Category: Banking
πΉ Date Posted: April 23, 2025
πΉ Experience Level: 2-5 years
πΉ Remote Status: On-site
π Job Overview
Key aspects of this role include:
- Bridging the gap between marketing ideas and data-driven solutions
- Translating business objectives into actionable data points
- Enhancing the data skills of marketing colleagues through training and support
- Working with data analysis, SQL, data visualization, and marketing automation tools
- Collaborating with various stakeholders and teams within Rabobank
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and a good understanding of both marketing and data analysis principles.
π Key Responsibilities
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Translate marketing objectives into data requirements and vice versa
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Develop and maintain data-driven marketing dashboards and reports
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Provide data-driven insights and recommendations to marketing teams
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Collaborate with IT to implement new data points and improve existing ones
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Train and support marketing colleagues in using data and analytics tools
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Monitor and analyze data quality, and suggest improvements
ASSUMPTION: The role may involve working with large datasets and complex tools, requiring strong analytical and technical skills.
π― Required Qualifications
Education: WO work and thinking level
Experience: 2-5 years of relevant experience in data analysis, marketing, or a related field
Required Skills:
- Data analysis and SQL skills
- Data visualization and presentation skills
- Marketing automation and AI-driven marketing knowledge
- Excellent communication and stakeholder management skills
- Agile working methodologies
- Fluency in Dutch and English
Preferred Skills:
- Experience with Google Analytics or similar web analytics tools
- Knowledge of Pega CDH or similar AI-based marketing tools
- Familiarity with data quality improvement processes
ASSUMPTION: Candidates with a strong background in data analysis and marketing, as well as excellent communication skills, will be well-suited for this role.
π° Compensation & Benefits
Salary Range: β¬3,500 - β¬4,500 per month (based on industry standards for similar roles in the Netherlands)
Benefits:
- 36-hour workweek
- Hybrid work environment
- Development budget for personal growth
- Good work-life balance
Working Hours: 36 hours per week, with flexible working hours and the option to work from home
ASSUMPTION: The salary range is an estimate based on industry standards for similar roles in the Netherlands. Actual compensation may vary depending on the candidate's experience and qualifications.
π Applicant Insights
π Company Context
Industry: Banking
Company Size: 10,001+ employees (globally)
Founded: 1898
Company Description:
- Rabobank is a cooperative bank with a mission to help customers realize their ambitions
- Serves about 10 million customers in 47 countries
- Focuses on individual and business customers in the Netherlands, and the food and agriculture sectors globally
Company Specialties:
- Banking
- Vermogensbeheer (wealth management)
- Leasing
- Verzekeren (insurance)
- Vastgoed (real estate)
- Advies (consulting)
- Hypotheken (mortgages)
- Beleggen (investing)
- Sparen (savings)
- Internetbankieren (online banking)
- Mobielbankieren (mobile banking)
Company Website: http://www.rabobank.com
ASSUMPTION: Rabobank is a large, international financial institution with a strong focus on sustainability and social responsibility.
π Role Analysis
Career Level: Mid-level
Reporting Structure: Reports to the Lead Marketing Manager
Work Arrangement: Hybrid (36 hours per week, with flexible working hours and the option to work from home)
Growth Opportunities:
- Progression to a senior role within the marketing department
- Expanding expertise in data analysis and marketing
- Opportunities to work on international projects
ASSUMPTION: This role offers opportunities for professional growth and development within Rabobank's marketing department.
π Location & Work Environment
Office Type: Hybrid (on-site and remote work)
Office Location(s): Utrecht Croeselaan 18, Netherlands
Geographic Context:
- Utrecht is a city in the Netherlands with a population of approximately 350,000 people
- It is known for its historic city center, canals, and universities
- The office is located near the city center, with easy access to public transportation
Work Schedule: 36 hours per week, with flexible working hours and the option to work from home
ASSUMPTION: The hybrid work environment offers a good balance between on-site collaboration and remote work flexibility.
πΌ Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screening
- On-site or virtual interview with the hiring manager
- Final interview with the team
Key Assessment Areas:
- Data analysis and visualization skills
- Marketing knowledge and understanding of business objectives
- Communication and stakeholder management skills
- Problem-solving and critical thinking abilities
Application Tips:
- Highlight relevant data analysis and marketing experience in your resume
- Tailor your cover letter to demonstrate your understanding of the role and how your skills match the job requirements
- Prepare examples of data-driven marketing projects or analyses you have worked on
ATS Keywords: Data analysis, SQL, data visualization, marketing automation, AI-driven marketing, agile methodologies, web analytics, Google Analytics, communication, stakeholder management, training, coaching, data quality improvement, reporting, business requirements gathering, process measurement
ASSUMPTION: The application process may vary depending on the specific needs of the hiring team.
π οΈ Tools & Technologies
- SQL
- Data visualization tools (e.g., Tableau, Power BI)
- Marketing automation tools (e.g., Pega CDH, Marketo)
- Web analytics tools (e.g., Google Analytics)
- Collaboration tools (e.g., Microsoft Office, Google Workspace)
ASSUMPTION: The specific tools and technologies used may vary depending on the team's needs and preferences.
π Cultural Fit Considerations
Company Values:
- Cooperative
- Customer-focused
- Expert
- Enterprising
- Sustainable
Work Style:
- Collaborative
- Data-driven
- Agile
- Customer-centric
- Innovative
Self-Assessment Questions:
- Do you have a strong background in data analysis and marketing?
- Are you comfortable working with complex datasets and tools?
- Can you effectively communicate data-driven insights to non-technical stakeholders?
- Are you comfortable working in a hybrid work environment?
ASSUMPTION: Successful candidates will demonstrate a strong fit with Rabobank's cooperative and customer-focused culture, as well as a data-driven and collaborative work style.
β οΈ Potential Challenges
- Working with large and complex datasets
- Balancing the needs of multiple stakeholders
- Keeping up with the latest data analysis and marketing trends
- Managing expectations and priorities in a dynamic work environment
ASSUMPTION: These challenges can be overcome with strong analytical and communication skills, as well as a proactive and collaborative approach.
π Similar Roles Comparison
- This role is similar to a Data Analyst or Business Intelligence Analyst role, but with a stronger focus on marketing
- Unlike some marketing roles, this position requires strong data analysis and visualization skills
- Career progression may involve moving into a more senior marketing or data analysis role
ASSUMPTION: This role offers a unique blend of data analysis and marketing responsibilities, with opportunities for professional growth and development.
π Sample Projects
- Developing a dashboard to track marketing campaign performance
- Analyzing customer data to identify trends and opportunities for targeted marketing
- Implementing a data quality improvement process to enhance marketing data accuracy
ASSUMPTION: These sample projects illustrate the data-driven and collaborative nature of the role.
β Key Questions to Ask During Interview
- What are the biggest data challenges facing the marketing department currently?
- How does this role collaborate with other marketing teams and stakeholders?
- What opportunities are there for professional development and growth within the marketing department?
- How does Rabobank support work-life balance for its employees?
- What is the company's approach to data privacy and security?
ASSUMPTION: These questions can help applicants better understand the role, the team, and the company culture.
π Next Steps for Applicants
To apply for this position:
- Submit your application through the application link
- Tailor your resume to highlight your data analysis and marketing experience
- Write a cover letter explaining how your skills and experience match the job requirements
- Prepare examples of data-driven marketing projects or analyses you have worked on
- Follow up with the hiring manager or recruiter after one week if you haven't heard back
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.