We are seeking an expert Senior Predictive Analytics Analyst to champion the design, execution, and interpretation of advanced mathematical and statistical models. In this role, you will manipulate large-scale datasets within enterprise cloud environments, code data-driven algorithms, and build interactive predictive systems. You will bridge the gap between complex behavioral data science, digital tag tracking, and executive-level business intelligence visualization.
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Location: Toronto, ON (Onsite, 7.25 hours per day between 8:00 AM and 5:00 PM)
Duration: 9-month contract
Advantages
Elite Predictive Scale: Lead high-visibility initiatives that leverage advanced econometric and behavioral science modeling to directly influence long-term enterprise strategies.
Diversified Toolset Synergy: Expand your profile by commanding an advanced technical stack that unifies deep Python/SQL data science with Google marketing tech and Power BI analytics.
Operational Independence: Take absolute ownership of your models—from initial data ingestion, pipeline engineering, and algorithm deployment up to final dashboard delivery.
Structured Workspace: Benefit from a highly reliable, standard daytime corporate schedule within an collaborative environment in downtown Toronto.
Responsibilities
Advanced Mathematical Modeling: Design, build, and run sophisticated predictive models using advanced analytics techniques, including multivariate regressions, time-series forecasting, panel data methods, survival analysis, conjoint analysis, and factor modeling.
Data Pipeline Engineering: Extract, transform, and structure massive structured and unstructured datasets across enterprise data lakes and repositories using automated pipelines.
Cloud Computing & Analytics: Architect and manage scalable data science workflows within Microsoft Databricks and cloud-native computing frameworks.
Digital Tracking Operations: Implement, audit, and manage tracking scripts and custom trigger configurations using Google Analytics and Google Tag Manager (GTM) to capture user interaction data.
Business Intelligence & Visualization: Translate complex algorithmic outcomes into interactive, clear enterprise dashboards and executive data visualizations utilizing Power BI.
Database Programming: Query, optimize, and manage large-scale data architectures using high-performance SQL and relational/NoSQL configurations.
Collaborative Data Governance: Act as a senior consultant to infrastructure engineers, developers, and product leads, ensuring algorithmic solutions align cleanly with data privacy and compliance guidelines.
Qualifications
Core Analytics Seniority: 5+ years of progressive professional experience in a data science, econometric modeling, or predictive analytics capacity.
Technical Programming Stack: Expert-level, hands-on programming skills in Python (and/or R) paired with advanced SQL scripting.
Big Data & Cloud Systems: Direct experience working within Databricks and building workflows inside Microsoft Azure or a comparable enterprise cloud environment.
Web Telemetry Mastery: Proven experience implementing, debugging, and managing Google Analytics and Google Tag Manager tracking implementations from scratch.
Statistical Systems Acumen: Practical familiarity with dedicated statistical tools (such as SAS, SPSS, Stata, or Hadoop environments) alongside advanced time-series forecasting and trend analysis.
Education: Bachelor’s or Master's degree in Data Science, Statistics, Economics, Mathematics, Computer Science, or a related quantitative field.
Summary
If you're interested in the Senior Predictive Analytics Analyst role based in Toronto, we encourage you to apply online at www.randstad.ca. Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
We are seeking an expert Senior Predictive Analytics Analyst to champion the design, execution, and interpretation of advanced mathematical and statistical models. In this role, you will manipulate large-scale datasets within enterprise cloud environments, code data-driven algorithms, and build interactive predictive systems. You will bridge the gap between complex behavioral data science, digital tag tracking, and executive-level business intelligence visualization.
Location: Toronto, ON (Onsite, 7.25 hours per day between 8:00 AM and 5:00 PM)
Duration: 9-month contract
Advantages
Elite Predictive Scale: Lead high-visibility initiatives that leverage advanced econometric and behavioral science modeling to directly influence long-term enterprise strategies.
Diversified Toolset Synergy: Expand your profile by commanding an advanced technical stack that unifies deep Python/SQL data science with Google marketing tech and Power BI analytics.
Operational Independence: Take absolute ownership of your models—from initial data ingestion, pipeline engineering, and algorithm deployment up to final dashboard delivery.
...
Structured Workspace: Benefit from a highly reliable, standard daytime corporate schedule within an collaborative environment in downtown Toronto.
Responsibilities
Advanced Mathematical Modeling: Design, build, and run sophisticated predictive models using advanced analytics techniques, including multivariate regressions, time-series forecasting, panel data methods, survival analysis, conjoint analysis, and factor modeling.
Data Pipeline Engineering: Extract, transform, and structure massive structured and unstructured datasets across enterprise data lakes and repositories using automated pipelines.
Cloud Computing & Analytics: Architect and manage scalable data science workflows within Microsoft Databricks and cloud-native computing frameworks.
Digital Tracking Operations: Implement, audit, and manage tracking scripts and custom trigger configurations using Google Analytics and Google Tag Manager (GTM) to capture user interaction data.
Business Intelligence & Visualization: Translate complex algorithmic outcomes into interactive, clear enterprise dashboards and executive data visualizations utilizing Power BI.
Database Programming: Query, optimize, and manage large-scale data architectures using high-performance SQL and relational/NoSQL configurations.
Collaborative Data Governance: Act as a senior consultant to infrastructure engineers, developers, and product leads, ensuring algorithmic solutions align cleanly with data privacy and compliance guidelines.
Qualifications
Core Analytics Seniority: 5+ years of progressive professional experience in a data science, econometric modeling, or predictive analytics capacity.
Technical Programming Stack: Expert-level, hands-on programming skills in Python (and/or R) paired with advanced SQL scripting.
Big Data & Cloud Systems: Direct experience working within Databricks and building workflows inside Microsoft Azure or a comparable enterprise cloud environment.
Web Telemetry Mastery: Proven experience implementing, debugging, and managing Google Analytics and Google Tag Manager tracking implementations from scratch.
Statistical Systems Acumen: Practical familiarity with dedicated statistical tools (such as SAS, SPSS, Stata, or Hadoop environments) alongside advanced time-series forecasting and trend analysis.
Education: Bachelor’s or Master's degree in Data Science, Statistics, Economics, Mathematics, Computer Science, or a related quantitative field.
Summary
If you're interested in the Senior Predictive Analytics Analyst role based in Toronto, we encourage you to apply online at www.randstad.ca. Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
