Senior Business Analyst - People Analytics Cloud Migration

• Bachelor’s degree in Information Systems, Computer Science, Industrial Engineering, Business Administration, or equivalent experience.
• 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.
• Skilled in preparing functional specifications, source-to-target mappings, data dictionaries, user stories, test scenarios, and acceptance criteria.
• Experience supporting data migration, validation, reconciliation, SIT, UAT, and production cutover.
• Experience collaborating with business stakeholders, data engineers, data architects, database specialists, QA, platform teams, Security, and Data Privacy.
• Preferred experience in HR, HRBI, People Analytics, SuccessFactors, or Human Capital Management data domains.
• Strong skills in translating business processes and legacy system behavior into precise data and ETL 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 documentation.
• Practical SQL skills for data analysis, profiling, validation, and investigation of data defects.
• Experienced with source-to-target mapping and documentation of cleansing, derivation, transformation, aggregation, and validation rules.
• Ability to analyze large legacy solutions, identify undocumented logic, and 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 requirement workshops and communicate effectively with both business and technical stakeholders.
• Strong analytical, problem-solving, documentation, prioritization, and decision-tracking skills.
• Ability to manage multiple domains/workstreams simultaneously and collaborate closely with another Business Analyst.
• High attention to detail and commitment to ensuring accuracy, completeness, and traceability of migrated data and business logic.

• Lead business analysis for migrating People Analytics HRBI data platform from Oracle to Azure Databricks.
• Analyze existing ETL processes, database objects, data models, transformation logic, dependencies, schedules, controls, and operational procedures.
• Collaborate with HR data owners, subject-matter experts, technical teams, and architects to clarify and document target data solution behavior.
• Decompose HRBI solution into data domains and define detailed migration scope.
• Create and maintain business requirements, functional specifications, user stories, acceptance criteria, data dictionaries, and source-to-target mappings.
• Document current-state and target-state data flows including source systems, ingestion, transformation rules, database entities, and downstream interfaces.
• Identify facts, dimensions, history, calculations, business rules, and shared Core HR elements per domain.
• Ensure full understanding and documentation of existing HRBI logic before rebuilding in Azure Databricks.
• Work closely with Data Engineers to translate requirements into ETL and database development tasks.
• Support definition and review of target data models, database structures, naming conventions, and reusable data-processing patterns.
• Define data-quality checks, reconciliation rules, control totals, and acceptance thresholds.
• Prepare test scenarios and expected results for data ingestion, transformation, and reconciliation.
• Support System Integration Testing, User Acceptance Testing, defect analysis, and validation.
• Analyze data differences between Oracle HRBI and Azure Databricks, coordinate root-cause analyses.
• Identify cross-domain dependencies, sequencing constraints, migration risks, and prerequisites.
• Support domain cutover planning, parallel runs, production-readiness reviews, and retirement of Oracle components.
• Maintain domain backlog, track open requirements and decisions, provide status updates on progress, risks, and blockers.
• Work independently across assigned domains and collaborate with a second Business Analyst and delivery team.

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