Data Marketing Analyst II

📌 Core Information

🔹 Job Title: Data Marketing Analyst II

🔹 Company: Capgemini

🔹 Location: Brazil (Remote/Hybrid)

🔹 Job Type: Full-Time

🔹 Category: Data & Analytics

🔹 Date Posted: May 23, 2025

🔹 Experience Level: 3-5 years

🔹 Remote Status: Remote/Hybrid

🚀 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 strong analytical skills, stakeholder management, and a solid understanding of data marketing principles.

📋 Key Responsibilities

✅ Collaborate with stakeholders to understand business needs and translate them into technical tasks.

✅ Analyze data related to incentive programs using SQL, Python, Excel, and Power BI.

✅ Validate data pipelines built by data engineering to ensure accurate data flow.

✅ Research market trends and help identify opportunities for advanced analytics projects.

✅ 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, requiring adaptability and a willingness to learn.

🎯 Required Qualifications

Education: Bachelor's degree

Experience: 3-5 years of experience

Required Skills:

• Proficiency in English
• SQL – Advanced
• Python – Intermediate
• Excel - Intermediate
• Power BI - Entry Level

Preferred Skills:

• Experience in the insurance industry
• Knowledge of data visualization tools

ASSUMPTION: While not explicitly stated, having experience in the insurance industry or knowledge of data visualization tools could be beneficial for this role.

💰 Compensation & Benefits

Salary Range: Based on industry standards for a Data Marketing Analyst II role in Brazil, the estimated salary range is R$60,000 - R$90,000 per year (USD$12,000 - USD$18,000).

Benefits:

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements
• Dynamic and inclusive work culture
• 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 is an estimate based on market research and may vary depending on the candidate's skills and experience.

📌 Applicant Insights

🔍 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 314,000 employees worldwide.

Founded: Capgemini was founded in 1967 and has since grown into a globally renowned group.

Company Description:

• Capgemini is 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, and sustainable IT.
• Capgemini is known for its dynamic and inclusive work culture, offering competitive compensation and benefits packages.

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 extensive experience and global presence provide a stable and growth-oriented environment for employees.

📊 Role Analysis

Career Level: This is an intermediate-level role, suitable for candidates with 3-5 years of experience.

Reporting Structure: The Data Marketing Analyst II will report directly to the Data Marketing Manager.

Work Arrangement: This role is offered on a remote/hybrid basis, with the option to work from home or in the office.

Growth Opportunities:

• Potential career progression to a Senior Data Marketing Analyst or Data Marketing Manager role.
• Opportunities to work on diverse projects and gain exposure to different industries.
• Access to training and development programs to enhance skills and knowledge.

ASSUMPTION: Given Capgemini's size and global presence, there are ample opportunities for career growth and development.

🌍 Location & Work Environment

Office Type: Capgemini offers a hybrid work environment, with the option to work from home or in the office.

Office Location(s): The primary office location for this role is in Brazil, with the option to work remotely.

Geographic Context:

• Brazil is the largest country in South America, with a diverse culture and a growing economy.
• The role's remote nature allows for flexibility in living and working arrangements.
• The time zone for this role is Pacific Time, which may require some adjustment for candidates living in different time zones.

Work Schedule: The standard work schedule is from 8 am to 5 pm (Pacific Time).

ASSUMPTION: The hybrid work arrangement offers a good balance between work-life integration and collaboration with team members.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening
• Technical assessment (data analysis task)
• Final round interview with the hiring manager

Key Assessment Areas:

• Data analysis and interpretation skills
• Stakeholder management and communication skills
• Problem-solving abilities
• Cultural fit with Capgemini's values

Application Tips:

• Highlight relevant experience and skills in your resume, focusing on data analysis, marketing, and stakeholder management.
• Tailor your cover letter to demonstrate your understanding of the role and your fit with Capgemini's values.
• Prepare for the technical assessment by brushing up on your SQL, Python, and Excel skills.

ATS Keywords: Data analysis, marketing, stakeholder management, SQL, Python, Excel, Power BI, insurance industry, market trends, financial impact

ASSUMPTION: The interview process may vary depending on the specific needs of the hiring manager and the client.

🛠️ Tools & Technologies

• SQL
• Python
• Excel
• Power BI
• Data visualization tools (e.g., Tableau, Power BI)

ASSUMPTION: The required tools and technologies may evolve based on the client's needs and the projects at hand.

👔 Cultural Fit Considerations

Company Values:

• Honesty
• Boldness
• Trust
• Freedom
• Client Value Creation
• Humility

Work Style:

• Collaborative
• Inclusive
• Agile
• Innovative

Self-Assessment Questions:

• Do you thrive in a collaborative 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?

ASSUMPTION: Capgemini values a diverse and inclusive work culture, where employees are encouraged to be themselves and bring their unique perspectives to the table.

⚠️ Potential Challenges

• The role may require working with large and complex datasets, which can be challenging to analyze and interpret.
• Stakeholder management can be demanding, as the role requires balancing the needs of various parties with differing priorities and expectations.
• The role may involve working on multiple projects simultaneously, requiring strong organizational skills and the ability to manage time effectively.
• The remote nature of the role may present challenges in terms of communication and collaboration with team members and stakeholders.

ASSUMPTION: These challenges can be overcome with strong problem-solving skills, effective communication, and a proactive approach to time management.

📈 Similar Roles Comparison

• Compared to a Data Analyst role, this position requires a stronger focus on marketing and stakeholder management.
• Unlike a Data Scientist role, this position does not require advanced statistical modeling or machine learning skills.
• Compared to a Business Analyst role, this position requires a deeper understanding of data analysis and marketing principles.

ASSUMPTION: This role is unique in its blend of data analysis, marketing, and stakeholder management skills, making it an attractive opportunity for candidates with a diverse skill set.

📝 Sample Projects

• Analyzing customer data to identify trends and opportunities for targeted marketing campaigns.
• Developing data visualizations to communicate complex insights to non-technical stakeholders.
• Collaborating with data engineering teams to optimize data pipelines and ensure accurate data flow.

ASSUMPTION: These sample projects are intended to illustrate the types of tasks the Data Marketing Analyst II may be responsible for, but the specific projects will vary based on the client's needs and the current priorities of the team.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and how this role fits within the organization?
• What are the most pressing challenges facing the team, and how can this role contribute to addressing them?
• How does Capgemini support the professional development and growth of its employees?
• What is the typical career path for someone in this role, and what opportunities exist for growth and advancement?
• How does Capgemini foster a culture of innovation and continuous learning?

ASSUMPTION: These questions are designed to provide insight into the role, the team, and the company culture, helping candidates make an informed decision about whether the position is the right fit for them.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through the following link: Apply Now
• Tailor your resume to highlight your relevant experience and skills, focusing on data analysis, marketing, and stakeholder management.
• Write a compelling cover letter that demonstrates your understanding of the role and your fit with Capgemini's values.
• Prepare for the technical assessment by brushing up on your SQL, Python, and Excel skills.
• Follow up with the hiring manager one week after submitting your application to express your interest in the role.

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