Data Marketing Analyst II

Capgemini; São Paulo; Teletrabalho; BRL 20.000 - 80.000; Tempo integral

Resumo da oferta

Capgemini is seeking a proactive Data Marketing Analyst to support a leading U.S. insurance carrier. This role offers the chance to advance your career through data-driven decision-making, with responsibilities including data analysis, stakeholder collaboration, and market research. Join a dynamic team in a flexible work environment.

Serviços

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

Qualificações

• 3-5 years of experience in data analysis or related field.
• Proficiency in SQL and experience with Python.
• Intermediate skills in Excel and Power BI.

Responsabilidades

• Collaborate with stakeholders to understand business needs.
• Analyze data related to incentive programs using SQL and Python.
• Validate data pipelines to ensure accurate data flow.

Conhecimentos

Proficiency in English

SQL

Power BI

Python

Excel

Formação académica

Bachelor's degree

Descrição da oferta de emprego

2 days ago Be among the first 25 applicants

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 with gross written premium well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

Location: Brazil (Remote/Hybrid) - Working Hours: 8 am to 5 pm (Pacific Time)

What You'll Do:

• 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

• 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
  
  

Note: Benefits differ based on employee level.

About Capgemini Sobre Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

https://www.capgemini.com/us-en/about-us/who-we-are/

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  IT Services and IT Consulting

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