Workday Prism Data Specialist

3 weeks ago

Hyderabad, Telangana, India Softbiz Solutions Full time
Job Description

Key Responsibilities

1. Data Discovery & Profiling

- Analyze and profile flat files exported from Preceda
- Identify data quality issues (gaps, duplicates, inconsistent formatting)
- Build a comprehensive data inventory and data dictionary

2. Field Mapping & Documentation

- Map Preceda source fields to Workday Prism datasets
- Collaborate with Payroll SMEs and Workday teams to define transformation logic
- Maintain version-controlled documentation and transformation rules

3. Data Transformation & Preparation

- Cleanse, normalize, and format historical flat file data (multi-year scope)
- Automate repeatable transformation pipelines using Python, SQL, Excel, or Alteryx
- Ensure formats align with Workday Prism ingestion and Australian payroll data standards

4. Workday Prism Integration

- Assist with configuration of Prism staging datasets
- Define relationships, dataset keys, and access/security parameters
- Support ingestion, validation, and troubleshooting with internal Workday teams

5. Validation & Reconciliation

- Reconcile Prism datasets against Preceda reports
- Work with Payroll SMEs to verify earnings, tax, super, and leave accuracy
- Build audit and reconciliation reports to ensure completeness and integrity

6. Reporting & Compliance Readiness

- Support creation of historical payroll dashboards and reports in Prism
- Ensure alignment with ATO STP Phase 2, record-keeping laws, and audit needs
- Document processes and outputs to meet internal and external audit standards

7. Governance & Documentation

- Apply data privacy best practices (e.g., secure handling of TFNs and termination data)
- Ensure adherence to organisational data retention and governance policies
- Prepare clear handover documentation for internal teams post-project

Required Skills & Experience

Mandatory

- 5-8 years of experience in data transformation, migration, or integration
- Strong hands-on experience with flat files (CSV, TXT, Excel) and ETL processes
- Proficiency inSQL(e.g., Snowflake, BigQuery),Python (Pandas),Excel (PowerQuery), and/orAlteryx
- Experience in cross-functional project teams, preferably in payroll or HR environments

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