Toronto, ON, CA
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
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 opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.
During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.
Keywords: Business Analyst,
Reference Code: 136189
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Business Analyst, HR, Data Management, Finance, Human Resources, Data