Business Analyst, L&H - Hybrid, 3 days in the office

This role is not eligibile for any form or work authorization support.  
Our company has a hybrid work model where the expectation is that you will be in the office three days per week. 

About the Role:

As a Business Analyst, you'll collaborate with stakeholders across the organization to understand their requirements and develop and deliver data-driven insights that solve real business challenges.

Key Responsibilities

• Translate business requirements into effective data mapping solutions
• Develop sophisticated data transformation processes using ETL, Python, SQL, and other tools to deliver high-quality data for Life & Health stakeholders
• Design and execute test cases to validate data transformations, resolving discrepancies to ensure data integrity
• Perform rigorous data quality checks to ensure reliable data ingestion and consumption
• Analyze large, complex datasets to identify trends and support strategic business decisions
• Recommend and implement solutions for business challenges, including process improvements, system enhancements, or user training
• Serve as a liaison between business stakeholders and data experts, leading data-driven projects
• Conduct ad hoc analyses to address specific business questions or support new initiatives
• Collaborate with peers to apply advanced analytics and automate smart business decisions

About the Team

Our innovative Data Management & Insights team is passionate about transforming data into actionable insights that drive business excellence. Our mission is to make data accessible and valuable by systematically acquiring, ingesting, and analyzing client data. We thrive in a collaborative environment and are eager to make a meaningful impact through data-driven solutions.

About You

You are a data enthusiast with strong analytical skills and a talent for translating complex information into clear insights. You enjoy solving problems and working collaboratively with stakeholders to understand their needs and deliver value. You're comfortable navigating ambiguity and have a proactive approach to identifying opportunities for improvement.

We are looking for candidates who meet these requirements:

• Bachelor's degree in computer science with 5+ years of relevant experience in US Corporation (outside of internships and school projects)
• Excellent communication skills with the ability to present complex data and insights clearly to stakeholders
• Strong skills in data mapping, ETL processing, and data integration
• Proficiency in SQL and Python, with experience working with relational databases
• Experience working with large volumes of structured and unstructured data

These are additional nice to have:

• Experience with large language models (LLMs) and AI-assisted analytics for insight generation
• Data visualization skills and experience with tools like Tableau or Power BI
• Knowledge of Life & Health Reinsurance
• Experience with agile methodologies and project management

The estimated base salary range for this position is $88,000 to $132,000.  The specific salary offered for this, or any given role will take into account a number of factors including but not limited to job location, scope of role, qualifications, complexity/specialization/scarcity of talent, experience, education, and employer budget.  At Swiss Re, we take a "total compensation approach" when making compensation decisions. This means that we consider all components of compensation in their totality (such as base pay, short-and long-term incentives, and benefits offered), in setting individual compensation.