WHY YOU’LL LOVE WORKING HERE:

• high-performance, people-focused culture
• our commitment that equity, diversity, and inclusion are fundamental to our work environment and business success, which helps employees feel valued and empowered to be their authentic selves
• learning and development initiatives, including workshops, Speaker Series events and access to LinkedIn Learning, that support employees’ career growth
• membership in HOOPP’s world class defined benefit pension plan, which can serve as an important part of your retirement security
• competitive, 100% company-paid extended health and dental benefits for permanent employees, including coverage supporting our team’s diversity and mental health (e.g., gender affirmation, fertility and drug treatment, psychological support benefits of $2,500 per year, parental leave top-up, and a health spending account).
• optional post-retirement health and dental benefits subsidized at 50%
• yoga classes, meditation workshops, nutritional consultations, and wellness seminars
• the opportunity to make a difference and help take care of those who care for us, by providing a financially secure retirement for Ontario healthcare workers

JOB SUMMARY:

The Plan Operations Analytics Group at HOOPP (Healthcare of Ontario Pension Plan) is looking for an experienced individual to fill a permanent, full-time Senior Data Scientist role for the Analytics Team. The team delivers insights, analytics, reporting, data governance and subject matter expertise in data warehouse knowledge.
The team’s principles are focused on delivering true stakeholder value in a dynamic and fast-paced environment. They value challenging the status quo, innovative solutions, team collaboration and practicality.

ADDITIONAL SKILLS AND ABILITIES

• Able and comfortable in working with all levels of management to understand, and when needed negotiate requirements and priorities
• Solid communication skills to interact across organizations and offer insights to the business.
• Background in mathematics, data analytics and reporting technologies
• Knowledge of Excel, R, Python and MS SQL Server; familiarity with analytics tools specifically Power BI
• Knowledge of relational database structures and applications.
• Competency in agile software development