π Core Information
πΉ Job Title: Marketing Data Analyst
πΉ Company: Capgemini
πΉ Location: SΓ£o Paulo, Brazil
πΉ Job Type: Hybrid (Remote & On-site)
πΉ Category: Marketing
πΉ Date Posted: April 3, 2025
πΉ Experience Level: 1-3 years
πΉ Remote Status: Hybrid (Remote & On-site)
π Job Overview
Key aspects of this role include:
- Supporting the quantitative evaluation of marketing campaigns and reporting of results
- Data-mining and reporting from large datasets
- Creating and modifying computer programs to pull information from company databases
- Preparing analyses of marketing effectiveness, retention, and cross-sell data
ASSUMPTION: This role requires a strong analytical mindset and proficiency in data manipulation tools. The ideal candidate should be comfortable working with large datasets and have a solid understanding of marketing principles.
π Key Responsibilities
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Supports the marketing function by performing data manipulation and data mining on large sets of data
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Develops data and information structure. Creates and modifies computer programs to pull information from company databases
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Prepares analyses of marketing driver effectiveness and efficiency, and analysis of cross-sell and retention
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Suggests enhancements to standard approaches
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Identifies market segments and develops specialized reporting approaches
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Measures and monitors marketing performance data
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Facilitates through other parts of the organization to accomplish results
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Supports data sciences team through access and manipulation/formatting of data as required
ASSUMPTION: The role involves a mix of data analysis, reporting, and strategic thinking. The candidate should be able to work independently and collaboratively to drive marketing insights and recommendations.
π― Required Qualifications
Education: Bachelor's degree required
Experience: 1-3 years of experience in a related field
Required Skills:
- Fluent English
- Advanced SQL
- Intermediate Excel
- Intermediate Office Suite
Preferred Skills:
- SAS or other statistical software
- Presentation Skills - Intermediate
- Project Management - Intermediate
ASSUMPTION: The role requires a strong foundation in data analysis tools and a good grasp of marketing principles. Familiarity with SAS or other statistical software is a plus but not required.
π° Compensation & Benefits
Salary Range: Based on market research, the average salary for a Marketing Data Analyst in SΓ£o Paulo, Brazil, with 1-3 years of experience is approximately R$ 60,000 - R$ 90,000 per year (before taxes).
Benefits:
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Home Office model
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture within a globally known group
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Training & Development
Working Hours: Full-time, with flexible hours and remote work options
ASSUMPTION: The salary range provided is an estimate based on market data. The actual salary may vary depending on the candidate's skills, experience, and negotiation.
π Applicant Insights
π Company Context
Industry: Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. It operates in the IT Services and IT Consulting industry.
Company Size: Capgemini is a large organization with over 340,000 team members in more than 50 countries. This means there are ample opportunities for growth and collaboration.
Founded: Capgemini was founded in 1967 and has since grown into a globally recognized brand.
Company Description:
- Capgemini is a responsible and diverse organization guided by its purpose of unleashing human energy through technology for an inclusive and sustainable future.
- It offers a wide range of services, including outsourcing, process consulting, package-based solutions, custom solution development, application management, artificial intelligence, business consulting, cloud, digital, managed services, digital transformation, innovation, intelligent industry, and sustainable IT.
- Capgemini reported global revenues of β¬22.5 billion in 2023.
Company Specialties:
- Outsourcing
- Process Consulting
- Package Based Solutions
- Custom Solution Development
- Application Management
- Artificial Intelligence
- Business Consulting
- Cloud
- Digital
- Managed Services
- Digital Transformation
- Innovation
- Intelligent Industry
- Sustainable IT
- and Generative AI
Company Website: www.capgemini.com
ASSUMPTION: Capgemini's large size and global presence provide ample opportunities for career growth and development. Its diverse range of services and commitment to sustainability make it an attractive employer for many.
π Role Analysis
Career Level: This role is suitable for early to mid-career professionals with 1-3 years of experience in marketing data analysis or a related field.
Reporting Structure: The Marketing Data Analyst will report directly to the Marketing Manager or a similar role within the organization.
Work Arrangement: This is a hybrid role, with a mix of remote and on-site work. The specific work arrangement may vary depending on the team's needs and the candidate's preferences.
Growth Opportunities:
- As Capgemini is a large organization with a diverse range of services, there are ample opportunities for career progression within the marketing function or into other areas of the business.
- The company offers career development and training opportunities, allowing employees to grow their skills and advance their careers.
- The dynamic and inclusive work culture within Capgemini provides a supportive environment for professional growth.
ASSUMPTION: The hybrid work arrangement offers a good balance between remote work and in-person collaboration. The growth opportunities within Capgemini make this an attractive role for candidates looking to advance their careers in marketing data analysis.
π Location & Work Environment
Office Type: Capgemini's office in SΓ£o Paulo is a modern, collaborative workspace designed to foster innovation and productivity.
Office Location(s): The office is located in SΓ£o Paulo, Brazil.
Geographic Context:
- SΓ£o Paulo is the largest city in Brazil and the Americas, with a population of over 12 million people.
- The city is a major financial and cultural hub, with a vibrant arts scene and a diverse range of restaurants and entertainment options.
- SΓ£o Paulo has a tropical savanna climate, with warm and humid weather throughout the year.
Work Schedule: The work schedule is full-time, with flexible hours and remote work options. The specific work schedule may vary depending on the team's needs and the candidate's preferences.
ASSUMPTION: The modern office environment and flexible work schedule provide a supportive and productive work environment for the Marketing Data Analyst. The vibrant cultural scene and diverse range of entertainment options in SΓ£o Paulo make it an attractive location for professionals.
πΌ Interview & Application Insights
Typical Process:
- The application process typically involves submitting a resume and cover letter through the Capgemini careers website.
- Candidates who meet the qualifications will be invited for an initial phone or video screen with the hiring manager.
- Successful candidates will then be invited for an on-site or virtual interview with the marketing team.
- Finalists may be asked to complete a case study or data analysis exercise as part of the interview process.
Key Assessment Areas:
- Data analysis skills and proficiency in relevant tools
- Marketing knowledge and understanding of marketing principles
- Problem-solving skills and ability to draw insights from data
- Communication skills and ability to present findings effectively
Application Tips:
- Highlight relevant experience and skills in your resume, using specific examples to illustrate your abilities.
- Tailor your cover letter to the specific role and company, explaining why you are a good fit for the position.
- Prepare for the interview by researching Capgemini's business and the specific needs of the marketing team.
- Be ready to discuss your approach to data analysis and your ability to draw insights from data.
ATS Keywords: Marketing Data Analysis, SQL, Excel, Office Suite, SAS, Data Mining, Reporting, Marketing Effectiveness, Cross-Sell, Retention
ASSUMPTION: The interview process is designed to assess the candidate's technical skills and cultural fit within the marketing team. The application tips provided are intended to help candidates present their qualifications effectively and increase their chances of success.
π οΈ Tools & Technologies
- SQL
- Excel
- Office Suite
- SAS or other statistical software (preferred)
ASSUMPTION: The tools and technologies listed are essential for the role of Marketing Data Analyst. Proficiency in these tools is required, and familiarity with additional tools such as SAS or other statistical software is preferred.
π Cultural Fit Considerations
Company Values:
- Client Value Creation
- Honesty and Integrity
- Collaboration
- Cultural Humility
- Inclusion and Diversity
- Sustainability
Work Style:
- Capgemini values a collaborative and inclusive work environment, where employees are encouraged to share ideas and work together to achieve common goals.
- The company fosters a culture of continuous learning and improvement, with a strong focus on professional development and growth.
- Capgemini values diversity and inclusion, and actively promotes a work environment that is welcoming and supportive of all employees.
Self-Assessment Questions:
- Do you have a strong analytical mindset and a passion for data-driven decision making?
- Are you comfortable working in a collaborative and inclusive work environment?
- Do you have a good understanding of marketing principles and a desire to learn and grow in the field?
ASSUMPTION: The company values and work style described provide a good indication of the cultural fit required for the role of Marketing Data Analyst at Capgemini. Candidates who share these values and are comfortable working in a collaborative and inclusive environment are likely to be a good fit for the role.
β οΈ Potential Challenges
- The role may require working with large and complex datasets, which can be challenging and time-consuming.
- The role may require collaborating with multiple teams and stakeholders, which can present communication and coordination challenges.
- The role may require working in a fast-paced and dynamic environment, which can be stressful and demanding at times.
- The role may require working with sensitive data, which requires a high degree of confidentiality and attention to detail.
ASSUMPTION: The potential challenges listed are common to roles in marketing data analysis and can be mitigated with strong technical skills, effective communication, and a proactive approach to problem-solving.
π Similar Roles Comparison
- Compared to other roles in marketing data analysis, this role places a greater emphasis on strategic thinking and recommendations, rather than purely technical data analysis.
- This role is part of a larger marketing function within a global organization, providing opportunities for collaboration and growth.
- Compared to other roles in the field, this role offers a competitive salary and benefits package, as well as opportunities for professional development and growth.
ASSUMPTION: The comparison points listed provide a useful context for understanding the role of Marketing Data Analyst at Capgemini and how it compares to similar roles in the field.
π Sample Projects
- Analyzing customer data to identify trends and opportunities for targeted marketing campaigns
- Developing and implementing a data-driven approach to measuring marketing effectiveness and ROI
- Collaborating with cross-functional teams to develop and execute data-driven marketing strategies
ASSUMPTION: The sample projects listed provide a good indication of the types of projects the Marketing Data Analyst may be involved in at Capgemini. These projects require a strong analytical mindset, proficiency in relevant tools, and a good understanding of marketing principles.
β Key Questions to Ask During Interview
- Can you describe the team structure and how this role fits into the broader marketing function?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does Capgemini support the professional development and growth of its marketing data analysts?
- What are the key challenges facing the marketing team, and how can this role contribute to addressing them?
- How does Capgemini foster a culture of collaboration and inclusion within its marketing team?
ASSUMPTION: The key questions listed are designed to help candidates better understand the role, the team, and the company, and to assess their fit with the organization's culture and priorities.
π Next Steps for Applicants
To apply for this position:
- Submit your application through the Capgemini careers website
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Prepare for the interview by researching Capgemini's business and the specific needs of the marketing team
- Be ready to discuss your approach to data analysis and your ability to draw insights from data
- Follow up with the hiring manager after the interview to express your interest in the role and reiterate your qualifications
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.