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Sr. Analyst, Data Science and Analytics Solutions

Job in Toronto, Ontario, M5A, Canada
Listing for: Healthcare of Ontario Pension Plan
Full Time, Contract position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Position: Sr. Analyst, Data Science and Analytics Solutions - 12 Months Contract

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 Linked In 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.

    What you will do:

    Business Delivery

  • Lead the business delivery of projects and initiatives and collaborate with the business stakeholders to ensure the deliverables that meet their overall objectives, while also meeting the Pension Operations objectives.

  • Execute, evolve the business analytics product vision and product roadmap, including use/acquisition and evaluation of analytics tools,

  • Work with business to identify, specify and refine analytics requirements, including data analysis and continued expansion of data dictionary

  • Establish a process to prioritize the requirements into the backlog and communicate the status of the prioritization results

  • Perform triage and prioritization of business needs as ongoing analytics, ad hoc requests, data analytics, and project streams are identified

  • Be the advocate for the business, articulating its vision, anticipating its needs, and gaining buy-in

  • Oversee solution development, evaluate progress, and make decisions/recommendations on product deliverables

  • Communicate with stakeholders to ensure objectives are clear and met

  • Strategic Analytics

  • Provides strategic Analytics such as forecasts, projections and high-level overview as well as operational (e.g. processing or phone statistics) reporting to management

  • Provides daily, weekly, monthly, quarterly, annual or ad hoc reporting as required by utilizing standard reports or builds. Extracts data from sources such as data warehouse, as well as converts operation-specific data into reports.

  • Develop broad subject matter expertise in data and perform an in-depth analysis of data to gather insights and communicate results.

  • Provides analytics support and data solutions to all areas of HOOPP as required by analysis and communication, acting on requests for data and reporting information. Contributes to the structure of databases, drafting of queries, compiling of CRM operational type analytics to all departments.

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

  • Experience with common data science toolkits, such as R, Weka, Num Py, Mat Lab, etc. Excellence in at least one of these is highly desirable

  • Provides statistical analysis and interpretation in clear user language on data information and provides written summary reporting as well as communication on that analysis. Ability to synthesize large datasets into clear actionable decision-making for presentation…

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