Sr. Azure Business Analyst

Business Data Analyst – Banking | Azure & DatabricksRole OverviewWe 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 modelBased on this role's business requirements, this is a remote 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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Total CompensationWe regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $75000–$115000 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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