Azure Business Data Analyst (Hybrid)

Cognizant; Toronto; Hybrid; CAD 75,000 - 100,000; Full time

Job summary

Cognizant is seeking an experienced Business Data Analyst with strong Banking domain knowledge and hands-on experience with Azure and Databricks in Toronto. The role bridges business, data, and technology to define requirements for cloud-based data engineering, analytics, migration, and modernization initiatives.

You will collaborate with data engineers, architects, product owners, and QA teams to gather and document data requirements, design data mappings, and support migration efforts across

Qualifications

• 5+ years of Business Data Analyst experience, preferably in Banking or Financial Services.
• Strong Banking domain knowledge across Retail, Commercial, 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.

Responsibilities

• Gather, analyze, and document business, functional, data, and reporting requirements.
• Translate requirements into BRDs, functional specs, user stories, acceptance criteria, and data requirements.
• Work with Azure and Databricks Data Engineers, Architects, Product Owners, QA, and business teams.
• Define data ingestion, transformation, migration, integration, reconciliation, and reporting requirements.
• Document source-to-target mappings, business rules, data lineage, quality rules, and transformations.
• Support migration of legacy banking data platforms to Azure and Databricks.
• Facilitate workshops on current-state and target-state business/data processes.
• Support banking use cases across Customers, Accounts, Transactions, Payments, Lending, Deposits, Cards, KYC/AML, Risk, Regulatory Reporting.
• Define requirements for 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, test scenarios, traceability, defects, and business validation.
• Participate in Agile ceremonies: backlog refinement, sprint planning, demos, retrospectives.

Skills

Banking domain knowledge

Azure

Databricks

SQL

Power BI

ETL/ELT

Data pipelines

Data mapping

Stakeholder management

Agile/Scrum

Jira

Confluence

Communication

Tools

Azure Data Factory

ADLS

Delta Lake

SQL

Power BI

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

• List the most important qualifications in descending order
  • Only go beyond 5 if absolutely necessary
  • Be concise but informative
  • Related duties should be combined

These will help you stand out

• List the most important nice-to-haves in descending order
  • Only go beyond 5 if absolutely necessary
  • Be concise but informative

We're excited to meet people who share our mission and can m

an impact in a variety of ways. 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.