Senior Business Analyst - People Analytics Cloud Migration

• Experience in pharmaceutical or manufacturing industry combined with hands-on AI experience.
• Bachelor’s degree in Information Systems, Computer Science, Industrial Engineering, Business Administration, or equivalent.
• Minimum 5 years as a Business Analyst in data warehouse, ETL, data lake, database migration, or enterprise data-platform projects.
• Proven experience analyzing complex ETL processes, relational databases, data models, transformation logic, and dependencies.
• Experience preparing functional specifications, source-to-target mappings, data dictionaries, user stories, test scenarios, and acceptance criteria.
• Experience with data migration, validation, reconciliation, SIT, UAT, and production cutover.
• Experience working with cross-functional teams including business stakeholders, data engineers, architects, QA, platform, Security, and Data Privacy.
• Preferred experience in HR, HRBI, People Analytics, SuccessFactors, or Human Capital Management data domains.
• Strong business analysis skills translating business processes and legacy system behavior into ETL and data requirements.
• Strong understanding of ETL/ELT concepts, relational databases, data warehousing, data lakes, facts, dimensions, history management, and data lineage.
• Ability to read and analyze SQL, database schemas, mapping documents, ETL specs, and technical data-flow docs.
• Practical SQL skills for data analysis, profiling, validation, reconciliation, and defect investigation.
• Experience with source-to-target mapping and documentation of cleansing, derivation, transformation, aggregation, and validation rules.
• Ability to analyze complex legacy solutions, identify undocumented logic, structure requirements by data domain and migration wave.
• Understanding of data-quality principles, reconciliation methods, control totals, exception handling, and auditability.
• Familiarity with Azure Databricks, Azure Data Factory, Delta Lake, Medallion Architecture, and cloud data-platform concepts preferred.
• Ability to facilitate requirements workshops and communicate effectively with business and technical stakeholders.
• Strong analytical, problem-solving, documentation, prioritization, and decision-tracking skills.
• Ability to manage multiple domains or workstreams simultaneously and collaborate with other Business Analysts.
• High attention to detail ensuring migrated data and business logic remain accurate, complete, and traceable.

• Lead business analysis activities for migration from Oracle to Azure Databricks.
• Analyze existing ETL processes, database objects, data models, transformation logic, dependencies, schedules, controls, and procedures.
• Collaborate with HR data owners, experts, technical teams, and architects to clarify and document requirements.
• Decompose HRBI solution into data domains and define migration scopes.
• Create and maintain business requirements, functional specifications, user stories, acceptance criteria, data dictionaries, and source-to-target mappings.
• Document current and target data flows, including source systems, ingestion processes, transformation rules, and data interfaces.
• Identify facts, dimensions, history, calculations, business rules, and Core HR elements per domain.
• Ensure existing HRBI logic is understood and documented before rebuilding in Azure Databricks.
• Work with Data Engineers to translate requirements into ETL and database development tasks.
• Support definition and review of target data models, database structures, data layers, naming conventions, and reusable data-processing patterns.
• Define data-quality checks, reconciliation rules, control totals, and acceptance thresholds.
• Prepare test scenarios for data ingestion, transformation, history, data quality, and reconciliation.
• Support System Integration Testing (SIT), User Acceptance Testing (UAT), defect analysis, and validation of migrated outputs.
• Analyze data differences between Oracle and Azure Databricks, coordinate root-cause analysis and issue resolution.
• Identify cross-domain dependencies, sequencing constraints, migration risks, and prerequisites.
• Support cutover planning, parallel-run activities, production readiness reviews, and retirement of Oracle components.
• Maintain backlog, track requirements and decisions, provide progress, risks, and issue updates.
• Work independently across domains while collaborating with other Business Analysts and delivery team.

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