Analyst, Data Science and Analytics Solutions

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 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:

• 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.

• Undertake 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.  Provides guidance on 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, NumPy, MatLab, 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 to Management.

• Participates in the integration of multiple data sources (data warehouse, portals, dashboards, reports, systems) into specific solutions to answer reporting needs using all relevant data. This is to meet HOOPP’s immediate and future information needs in collaboration with IT. 

• Creates, develops and maintains Analytics platforms.

What you bring: ​

Analytical

• Understands the why (curious, asks probing questions, digs deep, open-minded)

• Ability to create clarity and get everyone on the same page

• Excellent Requirements documentation (clear, concise)

• Has strong trust and confidence in team and business.

Teamwork

• Strong 1:1 working experience with Analysts, business leaders, stakeholders and management.

• Provides honest, constructive feedback in an empathetic manner

• Identifying and engaging in difficult conversations; Ability to table conflict or team tensions

• Ability to improve Team Norms/processes by influencing

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.

• 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

• BSc/BA in Computer Science, Statistics, Data Management or related field

• Background in mathematics, data analytics and reporting technologies

• Solid experience in data analysis; experience in the pension industry is preferred