Senior Data Modeler/Analyst

Toronto, Ontario

On-site

Full-time

No salary posted5 days ago

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Employment type: Full-time · On-site
Posted: November 8, 2026
Province: Ontario (ON)

Hiring confidence: Sparse posting · 22/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

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One of our Financial Services clients is building a world-class data organization that leverages artificial intelligence and modern cloud-native architectures to transform how capital markets professionals access and consume data. We are seeking a Senior Business Analyst to support the design and delivery of enterprise-grade data solutions across a cloud-based data platform. In this role, you will partner with business stakeholders, data architects, and engineering teams to drive requirements, …

This role is based in Ontario. EPAM Systems is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Senior Data Modeler/Analyst in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.

NOC code

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Typical qualifications for Canadian employers

Senior-level experience in data modeling or business analysis
Knowledge of cloud-native architectures
Experience with AI/ML applications
Ability to work with cross-functional teams
Capital markets or financial services domain knowledge (preferred)

Fit check

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What you'll do

Design and deliver enterprise-grade data solutions
Support cloud-based data platform development
Partner with business stakeholders on requirements
Collaborate with data architects and engineering teams
Drive requirements definition and delivery
Transform how capital markets professionals access and consume data

What you'll need

Senior-level experience in data modeling or business analysis
Knowledge of cloud-native architectures
Experience with AI/ML applications
Ability to work with cross-functional teams
Capital markets or financial services domain knowledge (preferred)
Enterprise data platform experience