Safer Gambling data student analyzing OLG PlaySmart initiatives and player-risk metrics. Querying Hadoop data with SQL/Python and producing statistical reports and Power BI dashboards.
Responsibilities
Support research, analytical initiatives, and projects related to Safer Gambling
Analyze Safer Gambling program data to provide insights
Query big data through the Hadoop data lake using SQL and Python
Apply machine learning techniques such as regression and clustering to support business insights
Prepare, clean, analyze, and interpret data using statistical techniques
Produce reports and PowerBI dashboards
Analyze Safer Gambling initiatives and A/B testing performance
Create documentation for analysis findings, presentations, reports, and templates
Support research studies to facilitate data collection and analysis
Manage, prioritize, and respond to ad-hoc data requests
Requirements
Interest in research, public policy, and social sciences
Experience using Python and SQL required
Experience with descriptive and inferential statistics and analyses
Ability to present technical concepts to a business audience
Strong communication skills and ability to describe technical results succinctly and compellingly
Student in a program dedicated to Statistics, Mathematics, Math and Business, or Master of Management Science
Creative and persuasive writing, reporting, and analytical skills
Ability to manage projects and build relationships with internal and external stakeholders
Ability to work collaboratively within an agile environment
Benefits
Growth Focus: access to new opportunities and personalized support programs
24/7 access to robust online learning programs
Equity, diversity, and inclusion culture
Employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act
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