114 Data Analytics jobs in Toronto

Aramco energizes the world economy.

Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Position description

We are seeking Data Analytics Specialist to join our Digital Engineering Solutions Division under Process & Control Systems Department.

Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco.

As a Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency.

Duties and Responsibilities

As a successful candidate you will be required to perform the following:

• Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
• Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
• Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
• Explore diverse data sources to improve predictive modeling and optimize business strategies.
• Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
• Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
• Generate documentation in line with established standards to support the development and deployment process.
• Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
• Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
• Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
• Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation.
• Provide leadership and mentorship to junior team members and specialists.

Minimum Requirements

As a successful candidate you will hold a:

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred.
• 20 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in the industry.
• Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
• Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
• Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
• Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools.
• Experience with IT architecture and deploying models in on-prem environments.
• Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks.
• Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers.

Job Post Duration

Job posting start date: 07/10/2025

Job posting end date: 12/31/2025

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Aramco energizes the world economy.

Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Position description

We are seeking Data Analytics Specialist to join our Digital Engineering Solutions Division under Process & Control Systems Department.

Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco.

As a Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency.

Duties and Responsibilities

As a successful candidate you will be required to perform the following:

• Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
• Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
• Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
• Explore diverse data sources to improve predictive modeling and optimize business strategies.
• Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
• Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
• Generate documentation in line with established standards to support the development and deployment process.
• Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
• Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
• Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
• Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation.
• Provide leadership and mentorship to junior team members and specialists.

Minimum Requirements

As a successful candidate you will hold a:

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred.
• 20 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in the industry.
• Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
• Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
• Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
• Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools.
• Experience with IT architecture and deploying models in on-prem environments.
• Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks.
• Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers.

Job Post Duration

Job posting start date: 07/10/2025

Job posting end date: 12/31/2025

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Aramco energizes the world economy.

Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Position description

We are seeking Data Analytics Specialist to join our Digital Engineering Solutions Division under Process & Control Systems Department.

Process and Control Systems Department provides services in the field of process engineering, automation, new energy and digitalization to various entities within Aramco.

As a Data Analytics Engineer your role will be to lead innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. You will identify and solve strategic and tactical analytic business problems to enhance operational efficiency.

Duties and Responsibilities

As a successful candidate you will be required to perform the following:

• Identify and develop advanced analytics use cases to resolve complex technical challenges, optimize processes, enhance revenue, ensure environmental sustainability, and improve safety.
• Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
• Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
• Explore diverse data sources to improve predictive modeling and optimize business strategies.
• Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
• Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
• Generate documentation in line with established standards to support the development and deployment process.
• Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
• Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
• Publish research papers for peer-reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
• Promotes a learning environment through knowledge-sharing, and fosters a culture of continuous learning and innovation.
• Provide leadership and mentorship to junior team members and specialists.

Minimum Requirements

As a successful candidate you will hold a:

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred.
• 20 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in the industry.
• Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
• Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
• Proficiency in Platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
• Expertise in visualization tools and packages; User Interface (UI) experience with Power Business Intelligence (Power BI) or similar tools.
• Experience with IT architecture and deploying models in on-prem environments.
• Strong understanding of continuous integration / continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and automation frameworks.
• Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers.

Job Post Duration

Job posting start date: 07/10/2025

Job posting end date: 12/31/2025

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

The Data Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
**Responsibilities:**
+ Integrates subject matter and industry expertise within a defined area.
+ Contributes to data analytics standards around which others will operate.
+ Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function.
+ Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.
+ Resolves occasionally complex and highly variable issues.
+ Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken.
+ Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning.
+ Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
**Qualifications:**
+ 6-10 years experience using codes for statistical modeling of large data sets
+ Strong hands-on experience in data related technologies and data visualization tools.
**Education:**
+ Bachelor's/University degree or equivalent experience, potentially Masters degree
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
---
**Job Family Group:**
Technology
---
**Job Family:**
Data Analytics
---
**Time Type:**
Full time
---
**Primary Location Full Time Salary Range:**
$120,800.00 - $170,800.00
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

**We are seeking a talented and experienced Data Analytics Developer to join our team. You will play a key role in designing, developing, and maintaining our next-generation data analytics platform. This involves building scalable and efficient data pipelines, optimizing query performance, and implementing robust solutions to enable real-time and historical data analysis for business stakeholders.**
**Your expertise will be crucial in leveraging modern data lake architecture principles with tools like OLAP, Apache Druid, Starburst (Trino), Impala, and Apache Iceberg. You will work closely with data scientists, data engineers, and business analysts to translate complex data requirements into technical solutions that drive business intelligence and operational efficiency.**
**Responsibilities:**
**Design, develop, and maintain data ingestion and processing pipelines to move large volumes of data from various sources into the data platform.**
**Utilize** **Apache Druid** **to build high-performance, real-time analytics solutions, focusing on data ingestion, indexing, and query optimization.**
**Leverage** **Starburst (Trino)** **to implement a data mesh architecture and enable query federation across different data sources, including data warehouses, data lakes, and other systems.**
**Develop and optimize analytical queries and reporting views using SQL within** **Impala** **for high-performance interactive and batch queries on large datasets.**
**Implement and manage datasets using** **Apache Iceberg** **, ensuring features like schema evolution, partitioning, and time-travel are leveraged for robust and reliable data lake operations.**
**Apply OLAP (Online Analytical Processing) techniques and tooling to design and develop multidimensional data models (cubes) for fast and efficient analysis.**
**Collaborate with data architects and business intelligence teams to create and maintain optimal data models and data warehouse structures.**
**Troubleshoot and resolve performance issues, data processing bottlenecks, and data quality problems within the data analytics ecosystem.**
**Maintain comprehensive documentation for all data processes, architectures, and data flows.**
**Qualifications:**
**5-8 years of relevant experience**
**Proven hands-on experience in a data engineering or analytics developer role.**
**Strong expertise with SQL and experience with various data analytical tools.**
**Deep experience with Apache Druid** **, including cluster management, data ingestion, and query optimization.**
**Hands-on experience with Starburst (Trino)** **, including query federation and performance tuning across data sources.**
**Solid understanding and experience with Apache Impala** **for fast, interactive SQL queries on Hadoop or cloud data storage.**
**Strong expertise with Apache Iceberg** **, including implementation for data lake architectures, schema evolution, and partitioning.**
**Experience with** **OLAP cube development** **, including knowledge of multidimensional expressions (MDX) and best practices.**
**Proficiency in one or more of Java, Python or PySpark for data processing and pipeline development is desirable.**
**Experience with cloud platforms such as AWS, GCP, or Azure is a plus.**
**Excellent problem-solving, communication, and collaboration skills.**
**Education:**
**Bachelor's degree/University degree or equivalent experience**
**Bachelor's degree in Computer Science, Data Engineering, or a related field.**
**This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.**
---
**Job Family Group:**
Technology
---
**Job Family:**
Applications Development
---
**Time Type:**
Full time
---
**Primary Location Full Time Salary Range:**
$94,300.00 - $141,500.00
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Job Description

Job Description

Job Summary

Director of Data & Analytics

Pillway

Full-time

In-Office | Brampton, ON, Canada

Job Description About Pillway

Pillway is transforming the digital pharmacy experience through data and innovation. As Director of Data & Analytics, you will lead our data strategy, infrastructure, and insights to support business growth and operational excellence across our healthcare platform.

Position Summary

We are looking for an experienced and strategic Director of Data & Analytics to lead our data function end-to-end. This person will oversee data infrastructure, governance, and analytics while driving business impact through data-informed decisions. This role blends deep technical expertise with strong business acumen and stakeholder management.

Key Responsibilities

• Lead the vision, strategy, and execution of Pillway’s data and analytics function.

• Build and manage modern data infrastructure using tools such as Snowflake, MS Fabric, Databricks, Power BI, etc.

• Partner cross-functionally (Product, Marketing, Operations, Pharmacy) to drive data initiatives and KPIs.

• Design and implement data governance and compliance frameworks (PHIPA, HIPAA, PIPEDA).

• Oversee the development of dashboards, data products, and reporting layers for internal and external use.

• Guide the integration of data across APIs, cloud services, CRM, and pharmacy systems.

• Enable self-serve analytics capabilities for business teams.

• Manage and mentor a team of data engineers and analysts.

• Lead the evaluation and adoption of AI/ML use cases to enhance personalization, predictive analytics, and operational efficiency.

Qualifications

• 5+ years of experience in data engineering, analytics, or related leadership roles.

• Proven ability to architect and scale modern data platforms (e.g., Snowflake, MS Fabric, dbt, Airflow, Power BI).

• Strong knowledge of data modeling, warehousing (ELT/ETL), and data lakes.

• Experience with Python, SQL, APIs, and orchestration tools.

• Track record of aligning data strategy with business goals and delivering measurable results.

• Familiarity with regulatory and privacy frameworks (PHIPA, PIPEDA, HIPAA).

• Excellent communication, stakeholder engagement, and leadership skills.

Nice to Have

• Prior experience in health tech, pharmacy, or other regulated industries.

• Exposure to AI/ML pipelines and model deployment strategies.

• Experience with Microsoft Fabric or Azure Synapse Analytics.

  
  Interview Process

1. Initial Screening: Shortlisted candidates will be contacted by our Head of Development for the first interview.

2. Leadership Meet-and-Greet: Successful candidates will have a 30-minute interview with our CEO, offering a unique opportunity to understand our vision directly from the top.

3. Cross-Functional Team Interview: Engage with various team members across the organization to ensure a mutual fit.

4. Final Steps: The ideal candidate will be selected after a comprehensive review. We are an equal opportunity employer and will reach out to those who best fit the qualifications for this role.

Join us at Pillway for a chance to shape the future of digital healthcare, where your work impacts lives daily, and innovation meets inclusivity.

Job Description

Job Description

Join one of Canada’s fastest-growing companies and be part of something extraordinary – welcome to goeasy ! At goeasy , our people and culture are at the heart of everything we do, and we’re proud to be recognized for it. We’ve earned prestigious accolades such as Waterstone Canada’s Most Admired Corporate Cultures , Canada’s Top Growing Companies , and the TSX30 , highlighting us as one of the top performers on the TSX . We’re also thrilled to be named a Greater Toronto Top Employer and proudly certified as a Great Place to Work®. These honors reflect our commitment to fostering an inclusive, high-performance culture where talent thrives, and innovation drives us forward.

As one of Canada’s leading alternative consumer lenders, we’re passionate about helping everyday Canadians create a brighter future. Our vision is to provide a path to a better tomorrow, today. We offer a full range of products, including non-prime leasing, unsecured and secured loans, and point-of-sale financing through easyhome , easyfinancial , and LendCare .

If you're seeking an exciting, high-growth environment where your contributions truly matter, we want to hear from you! Join us, and together, let's create a future of financial empowerment.

We’re looking for a Senior Analyst, Marketing Data & Analytics to join our growing team. This role is ideal for someone who thrives on solving business problems with data, is deeply curious, and is passionate about driving performance through actionable insights. In this position, you’ll play a key role in support Salesforce Marketing Cloud (MCP) personalization initiatives and optimizing affiliate marketing performance, while contributing to the broader measurement and analytics strategy for goeasy’s digital marketing efforts.

You collaborate closely with stakeholders across Digital Marketing, Lifecycle, Affiliate, Business Intelligence, and Risk & Analytics, supporting campaign performance measurement, channel attribution, and customer segmentation strategies that enable more effective, data-driven decision-making.

What you will be doing?

• Analyze and report on marketing performance across key channels, including affiliate marketing, email/SMS (via Salesforce Marketing Cloud), paid media (Google, Meta), web, and emerging platforms.
• Collaborate with lifecycle marketers and Salesforce MCP users to track, analyze, and optimize personalized journeys, ensuring timely and relevant insights are shared with campaign owners.
• Develop performance dashboards and automated reporting solutions to provide visibility into personalization KPIs, customer engagement metrics, and the affiliate channel’s contribution to loan growth and revenue.
• Support the execution of our multi-touch attribution model to evaluate and improve cross-channel performance throughout the customer journey.
• Work with internal BI and analytics teams to integrate first-party data into segmentation strategies and enhance targeting precision across CRM and paid channels.
• Contribute to tagging, tracking, and attribution frameworks for affiliate and MCP campaigns, ensuring proper UTM usage and consistent source data across platforms (e.g. Google Analytics, Salesforce, etc.).
• Assist with the implementation and management of GA4 and GA360 to ensure accurate capture of digital marketing activity and enable robust performance analysis.
• Partner with external stakeholders (e.g. Salesforce, affiliate networks, agencies) to maximize platform value and apply best practices that drive ROI.
• Deliver regular and ad hoc insights to marketing stakeholders to inform budget allocation, test-and-learn strategies, and campaign optimization.
• Build models or forecasts to support loan volume growth, customer acquisition goals, and personalized offer effectiveness using internal and third-party data sources.

What experience do you have?

• 3–5 years of experience in marketing or digital analytics, ideally in a performance-driven environment.
• Strong understanding of digital media, affiliate marketing, and CRM analytics.
• Hands-on experience with Salesforce Marketing Cloud and affiliate marketing platforms or networks is strongly preferred.
• Proficiency in Google Analytics 4, UTM frameworks, and data visualization tools such as Tableau or Power BI.
• Comfortable working with data manipulation tools like advances Excel; experience with SQL or BigQuery is a plus.
• Proven ability to translate complex datasets into clear, actionable insights for both operational and executive audiences.
• Experience collaborating cross-functionally with marketing, data, and technology teams to drive measurable outcomes.
• Strong project management, prioritization, and communication skills.
• Analytical mindset with a passion for experimentation, testing, and continuous performance improvement.

We offer a Flexible Work Program that provides you the ability to work three days onsite per week , between our Mississauga and downtown Toronto office.

Internal Applicants: please apply through the link and provide written endorsement from your current manager.

Why should you work for goeasy?

In keeping with our mission to create better tomorrows for our employees, each year goeasy commits to continuously enhancing its total rewards. Here are some of the perks we offer…

Financial Benefits:

• Leverage our RRSP match and Employee Share Purchase Plan programs.
• Annual bonus that rewards your hard work and dedication.
• Employee discounts on furniture, electronics, and appliances.
• MAT & PAT leave top-up.
• Expand your financial knowledge through engaging Financial Literacy Learning opportunities.

Health and Lifestyle:

• Enjoy company-paid volunteer days to give back to the community.
• Access 24/7 healthcare with Virtual Doctor Appointments.
• Personalize your benefits with a flexible modular benefits package.
• Stay fit and energized with exclusive access to our on-site private gym at our head office.

Employee Perks:

• Fuel your growth with the Tuition Assistance Program.
• Double the impact of your generosity with Company Matched Charitable Donations.
• Internal development training programs and platforms including job-specific training, career coaching, leadership excellence, mentorship, and many others.
• Enjoy a state-of-the-art office space with perks like a games room, a healthy snack program, a fitness studio, free gated parking, and more!

Diversity, Inclusion, and Equal Opportunity Employment:
At goeasy, we believe that we can only be the best when people are able to bring their best selves to work every day. This means that we are committed to cultivating and preserving a work culture where we celebrate who we are, where everyone feels seen and heard and where every employee can fulfill their potential. As an equal opportunity employer, we are committed to providing accommodations for applicants upon request at any stage of the recruitment process in accordance with all legislative requirements throughout Canada. Please let us know if you require an accommodation during any aspect of the recruitment process and we will work with you to address your needs.

Additional Information:
All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire. We thank all interested applicants, however we will only be contacting those for interview who possess the skills and qualifications outlined above.

Job Description

Job Description

Company Description

You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities. 

Job Description

We are looking for Data Scientists passionate about Data Analytics and Infrastructure, with strong foundations in data engineering, analytics, and statistics. You should enjoy working with large, complex datasets and developing efficient pipelines that enable scalable, reliable data analytics.

You’ll be responsible for designing and maintaining data infrastructure, automating workflows, and enabling data accessibility across teams. Your work will directly impact business decisions by delivering high-quality insights and building robust analytics systems. Strong problem-solving, communication, and collaboration skills are key for this role.

Qualifications

• BS (or higher, e.g., MS, or PhD) in Computer Science, Data Engineering, or a related technical field

• Experience building and maintaining data pipelines and infrastructure in production environments

• Proficient in SQL and data wrangling at scale (e.g., Spark, Airflow, dbt, etc.)

• Strong grasp of statistics, data modeling, and performance tuning

• Skilled in Python (Pandas, Numpy, etc.) and data visualization tools (e.g., Tableau, Power BI)

• Familiarity with cloud data platforms (e.g., AWS, GCP, Azure)

• Ability to design data schemas and implement analytics tracking strategies

• Analytical mindset with a focus on impact, efficiency, and scalability

Additional Information

We have competitive compensation.

Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.

Application Deadline:

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

Supports the research and development of stress testing and scenario analysis methodologies and related strategies in support of the management of risks arising from changes in the market and external environment for business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop models, methodologies and supplementary stress testing tools and infrastructures that assess the impact of a stress on risk capital and ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. defining tolerance for adverse outcomes, capital modelling, assess capital and liquidity, recovery actions, portfolio and risk management strategies and tactics.

• Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
• Provides advice and guidance to assigned business/group on implementation of solutions.
• Assists with the interpretation of new or changing regulations and assessing impacts to the governance frameworks.
• Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
• Helps determine business priorities and best sequence for execution of business/group strategy.
• Conducts independent analysis and assessment to resolve strategic issues.
• Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
• Manages databases and provides support for analysis, forecasting and/or data visualization, ensuring adherence with data governance standards.
• Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
• Leads or participates in defining the communication plan designed to positively influence or change behaviour; develops tailored messaging; and identifies appropriate distribution channels.
• Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the stress testing and scenario analysis program to various internal & external stakeholder audiences.
• Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcomes; models and frames business scenarios which impact critical business processes and/or decisions.
• Administers and evaluates changes to stress scenarios and / or model parameters in response to changes in the market and the external environment.
• Identifies where corrective actions are required and escalates per guidelines; ensures corrective action is taken as necessary.
• Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
• Consults with stakeholders to improve consistency and transparency of risk measurement, metrics and reporting.
• Develops and maintains in-depth knowledge of business and related risk management requirements and legislative/ regulatory directives and guidance.
• Supports the management of governance meetings (e.g. committee, management, board meetings, etc.) as required; facilitates development and approval of agendas, gathering and distribution of documentation related to agendas, and creation of meeting minutes/output.
• Builds effective relationships with internal/external stakeholders.
• Ensures alignment between stakeholders.
• Analyzes data and information to provide insights and recommendations
• Monitors and tracks performance; addresses any issues.
• Leads/participates in the design, implementation and management of core business/group processes.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently on a range of complex tasks, which may include unique situations.
• Broader work or accountabilities may be assigned as needed.

  Qualifications:

• Typically between 2 - 4 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Knowledge and understanding of stress testing and scenario analysis methodologies and frameworks.
• Proficiency in statistical/numerical software.
• Strong programming skills and experience in multiple programming languages (Python and/or pyspark knowledge is an asset).
• Experience in quantitative risk modeling, calculation of Regulatory (IFRS9/CECL) and Economic Capital is a bonus.
• Technical proficiency gained through education and/or business experience.
• Verbal & written communication skills - In-depth.
• Collaboration & team skills - In-depth.
• Analytical and problem solving skills - In-depth.
• Influence skills - In-depth.
• Data driven decision making - In-depth.

Salary :

$56,000.00 - $103,500.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: 

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at .

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.