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Senior Analyst Jobs
Company | Canada Life |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Insurance,Financial Services |
Expires | 2023-07-06 |
Posted at | 11 months ago |
- Design and implement robust data models to support various advanced analytics and reporting solutions.
- Work with the quantitative team to develop and enhance machine learning applications, advanced analytics, risk modeling and robotic process automation projects.
- Support Enterprise Risk Management with data-driven risk reporting and data analysis.
- Act as an expert in Power BI, responsible for building visually appealing and interactive risk reports and dashboards.
- Use advanced Power BI features and functionality to develop insightful visualizations and data-driven storytelling.
- Collaborate with various teams within Risk, Compliance and Actuarial areas to identify reporting requirements, analyze data sources, and automate reporting solutions using Power BI and other tools.
- Conduct in-depth data analysis, identify patterns and trends, and provide actionable insights to support business decision-making.
- Develop and maintain best practices for report automation, ensuring consistency and effectiveness across the organization.
- Stay up to date with the latest industry trends and best practices in data-driven reporting, reporting automation, and data visualization.
- Proven experience in a quantitative role withing the financial industry, specializing in advanced analytics, robotic process automation (RPA), machine learning applications, and risk modeling.
- Demonstrated ability to work independently, manage multiple priorities, and deliver high-quality results within established timelines.
- Proficiency in SQL and data manipulation techniques to extract and transform data from various sources.
- Knowledge of financial markets, products, and industry regulations is a plus.
- Solid understanding of data visualization best practices, with a keen eye for creating intuitive and impactful visualizations.
- Strong programming skills are required (one or more languages, such as Python, R, C++, etc.)
- Experience with data modeling, data management, and data governance principles.
- Proficiency in Power BI, including experience in designing and developing visually compelling and effective reports and dashboards.
- Experience with cloud solutions and reporting platforms.
- Strong interpersonal and business communication skills to collaborate effectively with cross-functional teams, deliver presentations, and facilitate projects.
- Excellent problem-solving skills and the ability to analyze complex datasets.
- Bachelor’s degree in quantitative fields such as Finance, Mathematics, Statistics, Computer Science, or a related discipline. A master’s degree is preferred.
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