Workday Prism Analytics Lead-5+ Years-HYD/BLR/PUNE

Position: Workday Prism Analytics Lead

Client: One of our Prestigious client

Locations: Hyderabad/Pune/Bangalore.

Mode of hiring: Full time/Permanent

Experience: 5+ Years

Budget: 20-23 LPA

Notice Period: 0-30 days

Share your CV 📧: [email protected]

Use below link for submit the details

https://forms.gle/Cv11HCUftrB7VEnRA

Workday Certification: Active Workday Prism Analytics certification (Pro or Implementer) is strictly required.

Job Description Summary

We are seeking a specialized Workday Prism Analytics Lead to serve as the primary Data Architect for our Workday ecosystem. This role is responsible for the end-to-end lifecycle of data ingestion and reporting—bringing external data (from legacy ERPs, ATS, CRM, or external benchmarks) into Workday to create a unified source of truth.

The ideal candidate blends the skills of a Workday Functional Analyst with those of a Data Engineer, capable of building robust ETL pipelines, managing data governance, and creating high-impact visualizations for executive leadership.

Job Description

Key Responsibilities

Strategic Architecture & Project Delivery

Data Pipeline Architecture: Design and build scalable ETL (Extract, Transform, Load) pipelines to ingest high-volume external data into Workday Prism.

Data Modeling: Utilize the Workday Data Catalog to create curated Prism Data Sets. Perform complex data transformations (Joins, Unions, Group By, Filter) to blend external records with Workday Core HCM/Finance objects (e.g., blending Salesforce Revenue data with Workday Sales Compensation data).

Advanced Visualization: Design and configure executive-level Discovery Boards and Composite Reports that visualize blended data, providing insights that standard Workday reporting cannot achieve.

Security Architecture: Define and enforce Prism Security Domains, ensuring that sensitive external data (e.g., historical payroll or diversity benchmarks) is restricted to appropriate user groups.

Solution Design: Partner with Finance and HR stakeholders to determine the "Buy vs. Build" strategy for reporting—advising when to use Workday Prism versus external data warehouses (e.g., Snowflake, Redshift).

L2 Support & Operational Management

Pipeline Monitoring: specific monitoring of daily scheduled data imports (API/SFTP). Investigate and resolve failures related to "Bad Rows," API timeouts, or schema mismatches.

Performance Tuning: Troubleshoot and optimize slow-running reports or Prism datasets that exceed processing time limits. Refactor inefficient calculated fields or join logic.

Capacity Governance: specific management of Prism Storage Capacity. Implement data retention policies, archive obsolete datasets, and optimize row counts to remain within licensed limits.

Change Management: Perform impact analysis on Prism datasets during bi-annual Workday releases. Ensure that changes to Core Workday objects do not break downstream Prism mappings.

Incident Resolution: Serve as the Tier 2/3 support point for "Data Discrepancy" tickets, investigating root causes where reported numbers in Prism do not match source systems.

Qualifications

Mandatory Education & Certifications

Workday Certification: Active Workday Prism Analytics certification (Pro or Implementer) is strictly required.

Education: Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent experience).

Required Experience

Workday Experience: 4+ years of hands-on experience in the Workday ecosystem.

Prism Expertise: Minimum 2+ years of dedicated experience building Prism Data Sets, pipelines, and Discovery Boards.

Data Engineering Skills: Strong proficiency in SQL concepts (Inner/Outer Joins, Unions, Case Logic) and data transformation principles.

Core Knowledge: Deep understanding of the Workday Object Model (Business Objects, Fields, Instances) required to successfully map external data to internal IDs.

Preferred Skills

Secondary Certification: Workday Advanced Reporting or Composite Reporting.

Analytics Tools: Experience with Workday People Analytics (VIBE Central) or external BI tools (Tableau, PowerBI).

Integration: Basic ability to read/debug XML, XSLT, or API logs.

Competencies

Analytical Thinking: Ability to translate vague business questions (e.g., "Are we paying our sales team effectively?") into concrete data models and visualizations.

Attention to Detail: obsession with data accuracy and validation.

Communication: Ability to explain complex data limitations or pipeline failures to non-technical stakeholders.