Sr. Analyst, Data Science and Analytics Solutions - 12 Months Contract

Healthcare of Ontario Pension Plan Trust Fund Company; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading pension plan provider seeks a Senior Data Scientist to join the Analytics Team. The successful candidate will lead project delivery and provide insights through data analysis, while collaborating with various stakeholders to enhance data governance and operational reporting.

Benefits

100% company-paid extended health and dental benefits

Membership in defined benefit pension plan

Learning and development initiatives

Wellness programs, including yoga and meditation workshops

Qualifications

• Experience with data analytics and machine learning techniques.
• Proficient in data science tools including R and Python.
• Detail-oriented and able to communicate complex data insights.

Responsibilities

• Lead project delivery and ensure alignment with business goals.
• Provide operational reporting and forecasts to management.
• Apply machine learning techniques for in-depth data analysis.

Skills

Analytical skills

Effective communication

Teamwork

Agility

Tools

R

Python

MS SQL Server

Power BI

Job description

high-performance, people-focused culture

Our commitment to equity, diversity, and inclusion is fundamental to our work environment and business success, helping employees feel valued and empowered to be their authentic selves.

We offer learning and development initiatives, including workshops, Speaker Series events, and access to LinkedIn Learning, supporting employees' career growth.

Membership in HOOPP’s world-class defined benefit pension plan provides an important part of your retirement security.

We provide competitive, 100% company-paid extended health and dental benefits for permanent employees, including coverage supporting 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 are subsidized at 50%.

We promote wellness through yoga classes, meditation workshops, nutritional consultations, and seminars.

Join us to make a difference by helping to provide a financially secure retirement for Ontario healthcare workers.

Job Summary :

The Plan Operations Analytics Group at HOOPP (Healthcare of Ontario Pension Plan) seeks an experienced individual for a permanent, full-time Senior Data Scientist role within the Analytics Team. The team delivers insights, analytics, reporting, data governance, and data warehouse expertise.

Our principles focus on delivering stakeholder value in a dynamic environment, valuing challenging the status quo, innovative solutions, teamwork, and practicality.

What you will do : Business Delivery

• Lead project delivery and collaborate with stakeholders to meet objectives while aligning with Pension Operations goals.
• Develop and evolve analytics product vision and roadmap, including evaluating analytics tools.
• Identify, specify, and refine analytics requirements, expanding the data dictionary.
• Prioritize requirements, manage backlogs, and communicate progress.
• Triages and prioritizes business needs, requests, and projects.
• Advocate for the business, articulating its vision and securing buy-in.
• Oversee solution development, evaluate progress, and recommend deliverables.
• Ensure clear communication of objectives and outcomes to stakeholders.

Strategic Analytics

• Provide forecasts, projections, and operational reporting to management.
• Generate regular and ad hoc reports, extracting data from sources like data warehouses.
• Develop expertise in data and perform in-depth analysis to gather insights.
• Support analytics needs across HOOPP, including database structuring and query drafting.
• Apply machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, and Decision Forests.
• Utilize data science tools like R, Weka, NumPy, and MATLAB, with proficiency in at least one.
• Communicate statistical analysis clearly, translating large datasets into actionable insights.
• Integrate multiple data sources into solutions to meet current and future information needs.
• Create and maintain analytics platforms.

What you bring :

• Analytical skills: Facilitation, probing questions, curiosity, and clarity in communication.
• Visual skills: Comfort with whiteboarding complex data models and data flow.
• Trust and confidence: Reliable team and business partner, detail-oriented.
• Agility: Anticipate surprises, be creative, and deliver iteratively.
• Decision making: Quick, adaptable, and able to operate in ambiguity.
• Teamwork: Experience working with analysts, leaders, and stakeholders, providing honest feedback and managing conflicts.
• Additional skills: Effective communication, mathematical and data analytics background, proficiency in Excel, R, Python, MS SQL Server, and familiarity with Power BI and relational databases.