π Core Information
πΉ Job Title: Data Marketing Analyst II
πΉ Company: Capgemini
πΉ Location: SΓ£o Paulo, Brazil (Remote/Hybrid)
πΉ Job Type: Full-Time
πΉ Category: Data & Analytics
πΉ Date Posted: May 23, 2025
πΉ Experience Level: Intermediate (3-5 years)
πΉ Remote Status: Hybrid (Remote and On-site)
π Job Overview
Key aspects of this role include:
- Collaborating with stakeholders to understand business needs and translate them into technical tasks.
- Analyzing data related to incentive programs using SQL, Python, Excel, and Power BI.
- Validating data pipelines built by data engineering to ensure accurate data flow.
- Researching market trends and helping identify opportunities for advanced analytics projects.
- Estimating the financial impact of incentive programs using historical data.
ASSUMPTION: This role requires a balance of technical skills and stakeholder management, with a focus on data-driven decision-making.
π Key Responsibilities
β
Collaborate with stakeholders to understand business needs and translate them into technical tasks.
β
Analyze data related to incentive programs using SQL, Python, Excel, and Power BI.
β
Validate data pipelines built by data engineering to ensure accurate data flow.
β
Research market trends and help identify opportunities for advanced analytics projects.
β
Estimate the financial impact of incentive programs using historical data.
ASSUMPTION: The role may evolve based on the client's needs and the projects at hand.
π― Required Qualifications
Education: Bachelor's degree
Experience: 3-5 years of experience
Required Skills:
- Proficiency in English
- SQL - Advanced
- Power BI - Entry Level
- Python - Intermediate
- Excel - Intermediate
Preferred Skills:
- Experience with insurance industry data
- Knowledge of market research techniques
ASSUMPTION: Candidates should have a strong foundation in data analysis and be comfortable working with stakeholders.
π° Compensation & Benefits
Salary Range: The salary range for this role in Brazil is typically between BRL 8,000 and BRL 15,000 per month, depending on experience and skills. This estimate is based on market research and may vary.
Benefits:
- Competitive compensation and benefits package
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture within a globally renowned group
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Training & Development
- Performance Bonus
Working Hours: 8 am to 5 pm (Pacific Time)
ASSUMPTION: The salary range provided is an estimate and may vary based on individual performance and market conditions.
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 career growth and diverse work experiences.
Founded: Capgemini was founded in 1967 and has since grown into a responsible and diverse organization with a strong heritage in technology.
Company Description:
- Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
- It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
- The Group reported 2024 global revenues of β¬22.1 billion.
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 global presence and diverse range of services provide opportunities for candidates to work on various projects and gain international experience.
π Role Analysis
Career Level: This role is at the intermediate level, requiring 3-5 years of experience. It offers opportunities for growth and career advancement within the organization.
Reporting Structure: The Data Marketing Analyst II will report directly to the Data Marketing Manager and work closely with various stakeholders within the client's organization.
Work Arrangement: This is a hybrid role, with a mix of remote and on-site work. The specific work arrangement may vary based on project needs and team preferences.
Growth Opportunities:
- This role provides opportunities to work with a diverse range of clients and projects, allowing for the development of new skills and expertise.
- Capgemini's large organization size offers ample opportunities for career progression and internal mobility.
- The role's focus on data-driven decision-making and stakeholder management can lead to career advancement in data analytics, project management, or business consulting.
ASSUMPTION: The growth opportunities in this role are tied to the individual's performance, the projects they work on, and the organization's needs.
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): Capgemini's SΓ£o Paulo office is located in the Brooklin neighborhood, offering easy access to public transportation and amenities.
Geographic Context:
- SΓ£o Paulo is the largest city in Brazil and the Americas, with a vibrant culture, diverse economy, and a thriving tech industry.
- The city is known for its dynamic business environment, with a strong focus on innovation and technology.
- SΓ£o Paulo's time zone is UTC-3, which may require some flexibility in working hours to accommodate global team members.
Work Schedule: The work schedule for this role is 8 am to 5 pm (Pacific Time), with some flexibility for project needs and team collaboration.
ASSUMPTION: The work environment in SΓ£o Paulo is dynamic and fast-paced, with a strong emphasis on collaboration and innovation.
πΌ Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screening with the HR team
- Technical interview with the Data Marketing Manager
- Final interview with the client's team
Key Assessment Areas:
- Technical skills in data analysis and visualization
- Stakeholder management and communication skills
- Problem-solving and critical thinking abilities
- Cultural fit with Capgemini's values and work environment
Application Tips:
- Highlight relevant experience and skills in data analysis and stakeholder management
- Tailor your resume and cover letter to emphasize your fit for this specific role and client
- Prepare for technical interview questions related to SQL, Python, Excel, and Power BI
- Research Capgemini's company culture and values to demonstrate your cultural fit
ATS Keywords: Data analysis, SQL, Python, Power BI, Excel, stakeholder management, market research, financial impact, incentive programs
ASSUMPTION: The interview process may vary based on the client's specific needs and the project at hand.
π οΈ Tools & Technologies
- SQL
- Python
- Excel
- Power BI
- Market research tools (e.g., SurveyMonkey, Google Forms)
ASSUMPTION: The tools and technologies required for this role may evolve based on the client's needs and the projects at hand.
π Cultural Fit Considerations
Company Values:
- Honesty
- Boldness
- Trust
- Freedom
- Client Value Creation
- Integrity
- Collaboration
- Camaraderie
- Humility
Work Style:
- Collaborative and team-oriented
- Innovative and forward-thinking
- Adaptable and flexible
- Results-driven and focused on delivering value to clients
Self-Assessment Questions:
- Do you thrive in a collaborative, team-oriented work environment?
- Are you comfortable working with diverse stakeholders and managing their expectations?
- Do you have a growth mindset and a willingness to learn and adapt to new situations?
- Are you committed to delivering high-quality work and creating value for clients?
ASSUMPTION: Capgemini's company culture is dynamic, inclusive, and focused on delivering value to clients through innovation and collaboration.
β οΈ Potential Challenges
- The role may require working with large datasets and complex data structures, which can be challenging and time-consuming.
- The role involves collaborating with various stakeholders, which can be demanding and require strong communication and management skills.
- The role may require working on multiple projects simultaneously, which can be challenging in terms of time management and prioritization.
- The role may require working with clients in different time zones, which can impact work hours and communication.
ASSUMPTION: The potential challenges in this role are outweighed by the opportunities for growth, learning, and career advancement.
π Similar Roles Comparison
- This role is similar to a Data Analyst or Business Analyst role, but with a stronger focus on data-driven decision-making and stakeholder management.
- The role is unique in its focus on the insurance industry and the specific client's needs.
- Career progression in this role could lead to opportunities in data analytics, project management, or business consulting.
ASSUMPTION: The comparison points for this role are based on its unique focus on data-driven decision-making, stakeholder management, and the specific client's needs.
π Sample Projects
- Analyzing historical data to identify trends and opportunities for incentive program optimization
- Developing and implementing data pipelines to ensure accurate and efficient data flow
- Researching market trends and competitor activities to inform strategic decision-making
ASSUMPTION: The sample projects provided are illustrative of the types of projects the Data Marketing Analyst II may work on, but the specific projects may vary based on the client's needs and the organization's priorities.
β Key Questions to Ask During Interview
- Can you describe the team structure and how this role fits within it?
- 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 employees?
- What are the most challenging aspects of working with this specific client, and how can I best prepare for them?
- What is the typical career path for someone in this role, and what opportunities are there for growth and advancement?
ASSUMPTION: The key questions to ask during the interview are designed to provide insight into the role, the team, and the organization's culture and values.
π Next Steps for Applicants
To apply for this position:
- Submit your application through the Capgemini careers portal
- Tailor your resume and cover letter to highlight your relevant experience and skills in data analysis, stakeholder management, and market research
- Prepare for technical interview questions related to SQL, Python, Excel, and Power BI
- Research Capgemini's company culture and values to demonstrate your cultural fit
- Follow up with the HR team one week after your application to confirm receipt and express your interest in the role
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.