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.
Team Function:
The team is responsible for:
- Communicating with business partners in fluent English to understand their needs and translate those needs to technical action.
- Using SQL and other tools to perform data analysis on incentive programs relating to agent and district manager performance.
- Writing work request tickets for our data engineering partners to consume in order to establish necessary data pipelines for incentive programs.
- Developing validations in SQL to ensure that data pipelines developed by IT are working properly.
- Produce cost estimates for proposed incentive programs based on historical data pulled from our data warehouse.
Role Description:
- Communicates fluently in English in a business environment to understand requests from stakeholders and independently drive projects forward.
- Become a subject matter expert on our SQL Server data warehouse.
- Develops validations using SQL to ensure that data pipelines built by our data engineering team are functioning properly.
- Perform data analysis upon request using Python (pandas, numpy), SQL (CTEs, window functions), Excel (VLOOKUPs, pivot tables), Power BI, and other tools.
- Assist the team in maintaining an organized shared data storage environment and writing/editing documentation on the technical processes we develop.
- Ensures a brand maintains relevance with ever-changing consumer preferences. Analyzes demographics, evaluates consumer research and studies product features in order to understand the consumer. Uses knowledge of the consumer to improve customer experience and marketing effectiveness, leading to tangible business outcomes.
- Able to design and analyze research studies and tests aimed at understanding consumer behaviors and attitudes. Recommend next steps to use those learnings to improve marketing and customer experience.
- Applies knowledge of data mining practices, tools, and technologies to find persistent patterns in data. Able to convert data into actionable recommendations.
- Collects, cleans, and organizes data for processing and analysis.
- Applies data visualization knowledge and techniques to create impactful data visualizations which enable data-driven decision-making.
Requirements
Total Work Experience
- Preferred: 4-6
Required Education - Required: Bachelor
Other Critical Skills
- English Communication (Written and Verbal) - Advanced
Software / Tool Skills
- SQL - Advanced
- Data Warehouse - Intermediate
- Python - Entry Level
- Excel - Entry Level
Benefits
This position comes with competitive compensation and benefits package:
- 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
- *Note: Benefits differ based on employee level
About 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/