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Azure Business Data Analyst (Hybrid)

Toronto, Ontario, Canada

Pay
$75,000–100,000/year · Base — pay source
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
Read the full posting
Work setting
Hybrid — work setting source
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
Work setup in the employer’s posting: hybrid remote
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Apply at Cognizant

What you’ll work on

Full posting

We are looking for an experienced Business Data Analyst with strong Banking domain knowledge and exposure to Azure and Databricks.

  • 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.

From the employer’s posting
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 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.
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.

What you’ll bring

All qualifications

Core experience

  • 5+ years of Business Data Analyst experience, preferably in Banking or Financial Services.
  • Experience in legacy data platform to Azure/Databricks migration.
  • Experience working on data, cloud migration, data warehouse, data lake, or modernization programs.
  • Knowledge of banking regulatory and compliance areas such as KYC, AML, PII, data privacy, and regulatory reporting.
  • Good understanding of Microsoft Azure and Databricks ecosystem.
  • Experience working with large Banking/Financial Services transformation programs.
Qualification wording
5+ years of Business Data Analyst experience, preferably in Banking or Financial Services.
Experience in legacy data platform to Azure/Databricks migration.
Experience working on data, cloud migration, data warehouse, data lake, or modernization programs.
Knowledge of banking regulatory and compliance areas such as KYC, AML, PII, data privacy, and regulatory reporting.
Good understanding of Microsoft Azure and Databricks ecosystem.
Experience working with large Banking/Financial Services transformation programs.

Tools in this posting

  • SQL
  • Azure
  • Databricks
  • Delta Lake
  • Power BI
Source — Tool mentions in context
- 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.
- 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.
Business Data Analyst – Banking | Azure & Databricks Role Overview
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
- 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.
- 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.
Preferred - Experience in legacy data platform to Azure/Databricks migration. - Exposure to Medallion Architecture, Lakehouse concepts, Unity Catalog, and data governance.

Posting record

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 22, 2026 · 8 days ago
Recorded sightings
27
Last seen by us
Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on careers.cognizant.com. The employer’s form will show what is required.

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Job description

View original posting ↗

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
  • Top 5 most important contributions 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
  • Top 5 most important contributions 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. 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

Source details

View original posting ↗

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Pay
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
Location & working pattern

Toronto, Ontario, Canada

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
Work authorization

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