Manager
Required Technical Skills
Data Analysis & Modelling
- Data profiling and data quality analysis
- Source-to-target mapping
- Data lineage and impact analysis
- Functional and business requirement gathering
- SQL querying and data validation
- Understanding of data warehousing concepts and dimensional modeling
Programming & Cloud
- Python (Pandas, NumPy)
- SQL
- Google Cloud Platform (BigQuery, Cloud Storage)
- Understanding of ETL/ELT concepts
Legacy Platform Understanding
- SAS datasets and SAS reporting concepts
- SAS data structures and business rules analysis
- Experience supporting SAS migration initiatives is highly desirable
Documentation Tools
- Excel
- Visio
- JIRA
- Confluence
- PowerPoint
Key Responsibilities
Business & Data Analysis
- Analyze existing SAS datasets, reports, and data pipelines.
- Gather and document business, functional, and data requirements from stakeholders.
- Conduct source-to-target mapping and data lineage analysis.
- Identify business rules embedded within SAS programs and workflows.
- Create detailed Functional Requirement Documents (FRD), Business Requirement Documents (BRD), and mapping specifications.
- Support data profiling and data quality assessments.
Migration Support
- Assist in discovery and assessment of SAS assets targeted for migration.
- Collaborate with Data Engineers to understand SAS transformation logic and convert business requirements into Python and GCP-based solutions.
- Validate transformed datasets in GCP against legacy SAS outputs.
- Participate in reconciliation activities and defect analysis.
- Support UAT planning and stakeholder sign-off processes.
Data Quality & Governance
- Define data quality rules and validation criteria.
- Conduct data reconciliation between source and target platforms.
- Analyze data anomalies, discrepancies, and migration issues.
- Support metadata documentation and data governance initiatives.
- Ensure compliance with security, privacy, and regulatory requirements.
Reporting & Stakeholder Management
- Prepare project status reports, data analysis summaries, and migration readiness reports.
- Facilitate workshops with business users, SMEs, and technical teams.
- Present findings, recommendations, and migration impacts to stakeholders.
Support change management and user adoption activities.
Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.