Business Analyst

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're 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

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

Excellent communication skills with the ability to present complex data and insights clearly to stakeholders

These are additional nice to haves:

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 base salary hiringrange for thisexisting position is CAD $90,000 - $130,000 CAD. The specific base 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. Please note that an artificial intelligence (AI) tool may be used in the screening and assessmentof applicants for this position.

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients.

This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal…