Data Marketing Analyst II

Job not on LinkedIn

May 23

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Logo of Capgemini

Capgemini

Enterprise • Artificial Intelligence • Cybersecurity

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Capgemini is seeking a proactive and skilled Data Marketing Analyst to join our team supporting one of the top 10 U.S. insurance carriers. • This is a prime opportunity to advance your career, gain international experience, and play a key role in driving business success through data-driven decision-making. • Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products. • They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states. • Location: Brazil (Remote/Hybrid) – Working Hours: 8 am to 5 pm (Pacific Time) • 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.

🎯 Requirements

• Experience: • 3-5 years of experience. • Skills: • Proficiency in English • Bachelor's degree • SQL – Advanced • Power BI - Entry Level • Python – Intermediate • Excel - Intermediate

🏖️ Benefits

• 1. Competitive compensation and benefits package: • 2. Competitive salary and performance-based bonuses • 3. Comprehensive benefits package • 4. Career development and training opportunities • 5. Flexible work arrangements (remote and/or office-based) • 6. Dynamic and inclusive work culture within a globally renowned group • 7. Private Health Insurance • 8. Pension Plan • 9. Paid Time Off • 10. Training & Development • 11. Performance Bonus • Note: Benefits differ based on employee level.

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