Analytics Engineering & Measurement Student

OLG; Toronto; On-site; CAD 25,000 - 39,000; Full time

Benefits offered by this job

Growth Focus: new opportunities and/0r

Comprehensive Learning: 24/7 online学习

Equity, diversity, and inclusion

Job summary

OLG is seeking an Analytics Engineering & Measurement Student for winter 2027, based in Sault Ste. Marie or Toronto. The role focuses on developing and maintaining measurement, reporting, and analytics capabilities to improve enterprise data assets and governance.

You will support dashboards, reporting structures, and reusable analytical assets under supervision. Ideal candidates are enrolled in or recently completed a post-secondary program in data analytics or related fields, with foundational

Qualifications

• Foundational knowledge of data analysis, reporting, and dashboard concepts.
• Basic understanding of SQL, spreadsheets, and analytics/visualization tools.
• Experience with data analysis, reporting, and BI concepts is desirable.

Responsibilities

• Support development and maintenance of trusted data assets, measurement outputs, reporting structures, and BI capabilities.
• Assist in implementing measurement frameworks, dashboards, and analytical solutions for decision-making.
• Identify trends, anomalies, and data quality issues in reporting assets and support monitoring.

Skills

Foundational knowledge of data分析?

SQL basics

Spreadsheets basics

Analytics/Visualization tools

Education

Post-secondary program completion in data analytics / related field

Job description

Job Description

Analytics Engineering & Measurement Student

Location: Sault Ste. Marie or Toronto

Duration: Winter (January-April 2027)

Type: Student Full Time

Range: $18.50 - $28.50

We are ready to take this game to the next level and need someone passionate to support the development, implementation, and continuous improvement of enterprise measurement, reporting, analytics engineering, and digital analytics capabilities. The Analytics Engineering & Measurement Analyst applies established tools, standards, and methods under supervision to help advance these capabilities. The role contributes to measurement frameworks, trusted data assets, reporting foundations, reusable analytical assets, and knowledge resources that improve consistency, scalability, and adoption of enterprise analytics capabilities across OLG.

YOUR ROLE IN THE GAME

• Support development and maintenance of trusted data assets, measurement outputs, reporting structures, and business intelligence capabilities that improve visibility into business performance.
• Assist in the implementation, testing, validation, and maintenance of measurement frameworks, reporting assets, dashboards, and analytical solutions used to support business decision-making.
• Assist in identifying trends, anomalies, and data quality issues within reporting and measurement assets while supporting ongoing monitoring, validation, and improvement activities.
• Contribute to the development and maintenance of documentation, metric definitions, business rules, reporting standards, and reusable knowledge assets that support measurement consistency and repeatable delivery
• Assist with analytics enablement and adoption activities by supporting training materials, knowledge-sharing assets, playbooks, and self-service reporting resources while following established governance and responsible AI practices.
• Support enterprise measurement, reporting, and analytics engineering initiatives by applying established measurement, reporting, and analytical practices under supervision.
• Support analytics engineering, data preparation, instrumentation, and technical implementation activities through testing, validation, issue identification, and maintenance of analytical assets and reporting solutions.

WHAT YOU BRING TO THE GAME

• Enrollment in or recent completion of a post-secondary program in data analytics, computer science, statistics, mathematics, information systems, business analytics, or a related field
• Foundational knowledge of data analysis, reporting, and dashboard concepts
• Basic understanding of SQL, spreadsheets, and one or more analytics or visualization tools
• Awareness of data quality, metric definition, and documentation practices
• Basic understanding of privacy, security and responsible handling of business data
• Some practical experience through co-op, internship, academic projects, or entry-level work in data analysis, reporting, business intelligence, or analytics engineering support
• Experience working with structured data, validating outputs, and preparing simple reports or dashboards
• Experience documenting work, findings, or business rules in a clear and organized manner

Relevant Skills

• Measurement: Developing and operating a measurement capability to support agreed organizational information needs.
• Data Management: Developing and implementing plans, policies and practices that control, protect and optimize the value and governance of data assets.
• Business Intelligence: Developing, producing and delivering regular and one-off management information to provide insights and aid decision-making
• Data science: Applying mathematics, statistics, data mining and predictive modelling techniques to gain insights, predict behaviours and generate value from data.
• Data engineering: Designing, building, operationalizing, securing and monitoring data pipelines, stores and real-time processing systems for scalable and reliable data management.
• Data analytics: Enabling data-driven decision making by extracting, analysing and communicating insights from structured and unstructured data.
• Knowledge management: Systematically capturing, developing and leveraging vital knowledge to create value and enhance organizational performance.
• Learning delivery: Transferring knowledge, developing skills and changing behaviours using a range of techniques, resources and media.
• Data modelling and design: Developing models and diagrams to represent, communicate and manage data requirements and data assets.
• Programming/software development: Developing software components to deliver value to stakeholders

Benefits Of Joining The Winning Team

• Growth Focus: Become your best self with access to new opportunities and personalized support programs.
• Comprehensive Learning: 24/7 access to robust online learning programs.
• Equity, diversity, and inclusion: Core to OLG’s culture, empowering employees to bring their authentic selves and make a meaningful impact across Ontario.

To learn more about our organization and other opportunities visit our career site.

Application Deadline: November 15, 2026.

Please Note: Unless otherwise specified, all positions are required to work fully onsite.

OLG is an equal opportunity employer. We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Please contact Human Resources at [e-mail] if you require accommodation at any time throughout the hire process.

We welcome applicants from all backgrounds and experiences. If you bring relevant skills and a willingness to learn, we encourage you to apply—even if you don’t meet every listed qualification. We sincerely appreciate your interest; while we are unable to contact everyone, those selected for the next steps will be notified.

We thank you for your interest in this opportunity; however only those individuals selected for an interview will be contacted.

Personal information is collected by the Ontario Lottery & Gaming Corporation (OLG) and/or its third party service provider(s) under the authority of the Ontario Lottery and Gaming Corporation Act, 1999, SO 1999, c 12, Sch L and the Employment Standards Act, 2000, S.O. 2000, c. 41 (as amended) and will be used for the purpose of determining qualifications for employment with OLG and for recruitment modernization initiatives. The information will be managed in accordance with all applicable laws, OLG’s Protection of Privacy Policy (the Policy) and related policies and procedures. For any questions about this collection, please contact [e-mail], 800-70 Foster Drive, Sault Ste. Marie, ON, P6A 6V2.