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
- optional membership in HOOPP’s world class defined benefit pension plan, which can serve as an important part of your retirement security
- virtual fitness, yoga and meditation classes, nutritional consultations and wellness seminars
- flexible hybrid work model that embraces remote work
- 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
Application Deadline: September 17, 2024
Application Requirements: Resume & Transcript
Please note after initial screening a potential skills test will be administered to assess competencies.
Job Summary
Are you a bold, quick-thinking, and driven individual seeking the growth and challenge that comes from working with collaborative teams for a dynamic company? Are you intrinsically passionate as a change agent, influencer of growth and have the desire to “move the needle?” If you feel satisfaction at seeing your team’s ideas and dreams become reality and answered yes to any of these questions, we want to hear from you!
The Plan Operations Analytics Group at HOOPP (Healthcare of Ontario Pension Plan) is looking for an experienced individual to fill an Analyst, Data Science and Analytics Solutions 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:
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.
- Undertake broad subject matter expertise in data and perform 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 provide 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 the integration of multiple data sources (data warehouse, portals, dashboards, reports, systems) into specific solutions to answer reporting needs using all relevant data. This to meet HOOPP’s immediate and future information needs in collaboration with IT.
- Creates, develops, and maintains Analytics platforms.
Who You Are:
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 of 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
What you bring:
- 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 business.
- Background in mathematics, data analytics and reporting technologies
- Solid experience in data analysis; experience in the pension industry is preferred
- BSc/BA in Computer Science, Statistics, Data Management or related field
- 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