Azure Business Data Analyst (Hybrid)

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

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.