Senior Business Analyst - People Analytics Cloud Migration
D
DCV TechnologiesPharmaceutical or manufacturing
Warszawa, Warszawa, Warszawa, Country code: PLFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- Minimum 5 years of experience as a Business Analyst in data warehouse, ETL, data lake, database migration, or enterprise data-platform projects.
- Required Skills
- SQLArtificial IntelligenceBusiness AnalysisETL
Requirements
- Minimum 5 years of experience as a Business Analyst in data warehouse, ETL, data lake, database migration, or enterprise data-platform projects.
- Experience in the pharmaceutical or manufacturing industry.
- Hands-on experience in AI.
- Bachelor’s degree in Information Systems, Computer Science, Industrial Engineering, Business Administration, or equivalent.
- Proven experience analyzing complex ETL processes, relational databases, and data models.
- Experience preparing functional specifications, source-to-target mappings, data dictionaries, and test scenarios.
- Experience supporting data migration, validation, SIT, UAT, and production cutover activities.
- Strong SQL skills for data analysis, profiling, and validation.
- Understanding of ETL/ELT concepts, data warehousing, and data lineage.
- Experience working with cross-functional teams including business stakeholders, engineers, and data architects.
- Familiarity with Azure Databricks, Azure Data Factory, and Delta Lake is preferred.
Responsibilities
- Lead business analysis activities for the migration of the People Analytics HRBI data platform from Oracle to Azure Databricks.
- Analyze existing ETL processes, database objects, data models, transformation logic, and dependencies.
- Create and maintain business requirements, functional specifications, user stories, data dictionaries, and source-to-target mappings.
- Document current and target-state data flows, including ingestion processes and transformation rules.
- Translate business and data requirements into implementable ETL and database development tasks for Data Engineers.
- Define data-quality checks, reconciliation rules, and test scenarios for SIT and UAT.
- Coordinate root-cause analysis for data differences and support production cutover planning.
View Full Description & ApplyYou'll be redirected to the employer's site
