Lead, Analytics

**Position Term**: Permanent Full-Time
**Location**: Toronto, ON
**Level**: 11
**Salary Range**: Min: $110,625 to Max: $138,293
iGaming Ontario leads the Province of Ontario’s dynamic internet gaming (iGaming) market that, in its third year generated $83 billion in total wagers, a 31% increase over the previous year. This resulted in $3.2 billion in total gaming revenue from over 80 gaming sites. Even more, Ontario’s iGaming market sustained almost 15,000 full-time equivalent jobs across the province. To achieve these results, iGaming Ontario is guided by its vision to Lead the World’s Best Gaming Market.
iGaming Ontario is seeking an experienced Lead, Analytics & Data Science, who will be responsible for the delivery of custom analysis and advanced analytics solutions, that will inform data-driven decisions across all departments of iGO to support financial management, AML activities & workflows optimizations, development of policies and responsible gambling tools, and market & player insights. This role will mentor talent, supervise outputs, ensure seamless operations, promote data-driven strategies and best industry practices of Data Science, and act as a liaison between Analytics, stakeholders and technical support functions.
**Reporting to the Manager, Analytics & BI you will**:

- Lead design, development and successful delivery of player, operator and market’ analysis and advanced analytics solutions, to inform financial, AML, responsible gambling, and policy development decisions:

- Collaborate with the stakeholders across different departments within the organization to understand their needs and objectives.
- Develop approaches and methodologies for tailored exploratory analysis, predictive & forecasting models and segmentation solutions, leveraging deep business insight and solid statistical rigor to ensure alignment with business objectives, accuracy & robustness of results, scalable design and efficient execution.
- Plan, lead and provide hands-on execution of exploratory and advanced analytics initiatives, ensuring timely, high-quality, efficient delivery on commitments.
- Define analytical data requirements and drive the development of engineered features that deepen analytical insights and improve performance of advanced analytics solutions.
- Create presentations that deliver analysis, insights and recommendations to the stakeholders in a clear and business-friendly manner.
- Liaise with technical partners on the deployment of analytic solutions into production for ongoing use.
- Ensure ongoing performance of analytics in production through regular performance validations and identification of improvement opportunities. Initiate and drive revisions and improvements, as necessary.
- Spearhead automations & optimizations to data and analytical capabilities and workflows:

- Drive implementation and compliance with the Best Practices of advanced analytics, analytical data design and coding practices.
- Continuously enrich & standardize analytical data and spearhead the deployment of new engineered data artifacts into the Analytical Datamart for shared use.
- Create, standardize and automate code used for the development of exploratory analysis (e.g. profiling analysis), as well as development & deployment of predictive models & segmentation solutions.
- Contribute to the development of data, coding and analytical skills of the team through coaching and mentorship:

- Review work outputs for more junior members of the team to ensure accuracy and compliance with best practices.
- Provide 1:1 coaching to more junior members of the team, as needed, to improve skills and develop talent.
- Develop training materials, maximizing the technical competence of the team.
- Oversee the execution of the operational tasks performed by Analysts / Sr. Analysts
- Support organizational improvement initiatives and implementation of data-centric culture.
- Contribute to the continuous improvement in departmental processes, workflows and culture.
- Familiarity with the gaming industry including knowledge of casino gambling and sports wagering is an asset.
- University Degree in Analytics, Data Mining, Machine Learning, Statistics, Business Administration, Economics or any other relevant field.
- 5+ of experience designing and developing exploratory analysis in the conditions of ambiguity and open-ended business questions, based on own methodologies tailored to business objectives.
- 5+ of experience designing and developing predictive models and segmentations using advanced analytics techniques (e.g. linear and logistic regression, decision trees (e.g. CHAID), clustering techniques (e.g. K-Means)) based on own methodologies tailored to business objectives.
- Strong experience executing statistical analysis (e.g. correlation analysis) and data reduction techniques (e.g. principal components / factor analytics, stepwise regression, variable clustering).
- Advanced SQL, Python and R coding skills and ability to crea