Full-time jobs in Vaughan, Ontario

Find full-time jobs in Vaughan, Ontario and nearby towns within 25 km. Read the full details and apply.

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Within 25 km of Vaughan

Added 10 days ago
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Azure Business Data Analyst (Hybrid)
Cognizant
Toronto, ON
Added 10 days ago
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Cognizant

Azure Business Data Analyst (Hybrid)

Toronto, ON, Canada

The base salary for this position ranges between $75000– $100000 per year. · Full-time

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Pay: The base salary for this position ranges between $75000– $100000 per year.
Job type: Full-time
Apply by: Nov 20, 2026
Experience: 5+ years of Business Data Analyst experience, preferably in Banking or Financial Services.
Posted: Oct 21, 2026

Original job description

Business Data Analyst – Banking | Azure & Databricks

Role Overview

We are looking for an experienced Business Data Analyst with strong Banking domain knowledge and exposure to Azure and Databricks. The role will bridge business, data, and technology teams to define requirements for cloud-based data engineering, analytics, migration, and modernization initiatives.

Key Responsibilities

Work with Banking stakeholders to gather, analyze, and document business, functional, data, and reporting requirements.
Translate business requirements into BRDs, functional specifications, user stories, acceptance criteria, process flows, and data requirements.
Work closely with Azure and Databricks Data Engineers, Architects, Product Owners, QA, and business teams.
Gather requirements for data ingestion, transformation, migration, integration, reconciliation, and reporting.
Understand and document source-to-target mappings, business rules, data lineage, data quality rules, and transformations.
Support migration of legacy/on-premise banking data platforms to Azure and Databricks.
Facilitate workshops covering current-state and target-state business/data processes.
Support banking use cases across Customers, Accounts, Transactions, Payments, Lending, Deposits, Cards, KYC/AML, Risk, and Regulatory Reporting.
Define requirements associated with Azure Data Lake Storage (ADLS), Azure Data Factory, Databricks, Delta Lake, and Power BI.
Partner with data teams to validate data quality, reconciliation, completeness, and business rules.
Support SIT/UAT, including test scenarios, requirement traceability, defect clarification, and business validation.
Participate in Agile ceremonies, including backlog refinement, sprint planning, demos, and retrospectives.

Required Skills

5+ years of Business Data Analyst experience, preferably in Banking or Financial Services.
Strong Banking domain knowledge across one or more areas such as Retail Banking, Commercial Banking, Payments, Lending, Cards, or Deposits.
Experience working on data, cloud migration, data warehouse, data lake, or modernization programs.
Good understanding of Microsoft Azure and Databricks ecosystem.
Familiarity with Azure Data Factory, ADLS, Databricks, Delta Lake, SQL, and Power BI.
Strong understanding of ETL/ELT, data pipelines, data mapping, data quality, reconciliation, and data lineage.
Ability to perform basic SQL/data analysis for requirement validation and investigation.
Experience creating user stories, acceptance criteria, process flows, data mappings, and functional specifications.
Experience with Jira, Confluence, Visio, Excel, and Agile/Scrum.
Excellent stakeholder management and communication skills.

Preferred

Experience in legacy data platform to Azure/Databricks migration.
Exposure to Medallion Architecture, Lakehouse concepts, Unity Catalog, and data governance.
Knowledge of banking regulatory and compliance areas such as KYC, AML, PII, data privacy, and regulatory reporting.
Experience working with large Banking/Financial Services transformation programs.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

What you need to have to be considered

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Top 5 most important contributions in descending order
- Only go beyond 5 if absolutely necessary
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- Related duties should be combined

These will help you stand out

List the most important nice-to-haves in descending order
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- Only go beyond 5 if absolutely necessary
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We're excited to meet people who share our mission and can m

an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Total Compensation

We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $75000– $100000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing

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More about this job

Responsibilities

Gather and document banking business, functional, data, and reporting requirements, translating them into specifications, user stories, mappings, and acceptance criteria. Partner with business and technical teams on Azure and Databricks data migration and modernization, data validation, and SIT/UAT activities.

Requirements

Requires 5+ years of business data analyst experience, preferably in banking or financial services, with strong banking domain knowledge and experience in data, cloud migration, or modernization programs. Candidates should understand Azure and Databricks, data pipelines and quality, basic SQL, requirements documentation, Agile/Scrum, and stakeholder collaboration.

Skills

Banking Domain Knowledge
Business Requirements Analysis
Data Analysis
Microsoft Azure
Databricks
SQL
Azure Data Factory
Azure Data Lake Storage
Delta Lake
Power BI
ETL/ELT
Data Mapping
Data Quality
Data Reconciliation
Agile/Scrum
Stakeholder Management

Benefits

Wellbeing Programs
Performance-Based Bonus

Visa sponsorship

Not detected in the job text

Keywords

Banking
Financial Services
Business Data Analysis
Microsoft Azure
Databricks
Azure Data Factory
Azure Data Lake Storage
Delta Lake
Power BI
SQL
ETL/ELT
Data Pipelines
Data Migration
Data Warehousing
Data Lakes
Data Mapping
Source-to-Target Mapping
Data Lineage
Data Quality
Data Reconciliation
Medallion Architecture
Lakehouse
Unity Catalog
Data Governance
KYC/AML
Regulatory Reporting
Jira
Confluence
Visio
Agile/Scrum

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