We are seeking a Data Analyst/Scientist to help drive data-informed decision making across product, customer experience, and operations.This role partners closely with cross-functional teams to bui...Show moreLast updated: 1 day ago
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Veemtoronto, ON, CA
Full-time
Quick Apply
Why Veem Work on Real Financial Infrastructure At Veem, you’re not building surface-level features — you’re working on systems that power real money movement across countries, currencies, and finan...Show moreLast updated: 7 days ago
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Full-time +1
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New!
Data Engineer
0000050007 Royal Bank of CanadaTORONTO, Ontario, Canada
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KindsightCA
Full-time
Quick Apply
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Data Analyst
InitiateToronto, ON, Canada
Remote
Full-time
Quick Apply
We are partnering with an innovative Canada-based online sportsbook and casino to appoint a commercially focused.Reporting to the Head of Data & Analytics, this role sits at the heart of strategic ...Show moreLast updated: 26 days ago
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Randstad CanadaQuébec, Quebec, CA
Temporary
Quick Apply
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Data Architect
Project XToronto, ON, CA
Full-time
Quick Apply
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DELANMontréal, QC, ca
Full-time
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Data Engineer
LGM Financial ServicesVancouver, BC
Full-time
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We are seeking a Data Analyst/Scientist to help drive data-informed decision making across product, customer experience, and operations. This role partners closely with cross-functional teams to build trusted analytics foundations, deliver insights and support strategic initiatives through data.
Requirements
Responsibilities
Partner with cross-functional teams to define data requirements and build source-of-truth dashboards, curated datasets, and reporting assets used in day-to-day operations.
Develop and maintain analytical data models that enable scalable and reliable analysis.
Deliver actionable insights on customer behavior, product performance, and subscriptions, supporting decisions across Product, Marketing, and Operations.
Design, develop, and implement predictive models (e.g., churn risk, customer lifetime value, propensity scoring) and integrate model outputs into operational dashboards and decision-making workflows.
Automate recurring analyses, segmentation logic, and reporting workflows to improve scalability and reduce manual effort.
Lead data unification initiatives, including data source evaluation, integration strategy, and canonical dataset design.
Contribute to analytics and data engineering best practices, including documentation, validation, and data quality standards.
Qualifications
5+ years of experience in data analytics, business analytics, or product analytics roles.
Strong SQL skills and hands-on experience working in cloud data warehouses (e.g., Amazon Redshift), including designing analytical data models, creating and managing views, and optimizing queries.
Demonstrated experience developing and validating predictive models using statistical and machine learning techniques and packages i.e. Scikit-learn and Tensorflow
Proficiency with modern BI and visualization tools (e.g., Power BI, Tableau).
Ability to translate business questions into structured analytical approaches and data requirements.
Strong cross-functional collaboration and communication skills, with the ability to present insights clearly to technical and non-technical stakeholders.
Benefits
What We Offer:
Competitive salary and benefits including 100% employer paid supplemental medical policy (Canada)
Remote working environment
An opportunity to make a significant impact in a fast-growing company
Generous PTO
Collaborative, creative, and supportive work environment