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Workday Techno Functional - Advanced Reporting

Job in 500001, Hyderabad, Telangana, India
Listing for: Acunor
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below
Job Title:

Workday Techno-Functional Consultant – Advanced Reporting

Mode:
Hybrid (3 days onsite)

Locations:
Hyderabad | Mumbai | Pune | Bangalore

Experience:

5–8 Years

Employment Type:

Full-time

Role Overview We are seeking a Workday Reporting and Dashboard Specialist to

transform raw data into actionable business intelligence. This role requires an analytics

expert capable of managing the full data lifecycle—from Prism data ingestion to the design

of complex composite reports and executive dashboards—supporting high-level HR and

Finance decision-making.

Key Responsibilities

- Complex Report Design:
Architect and build sophisticated Matrix, Composite, and Trending reports, utilizing BIRT layouts where necessary for pixel-perfect output.
- Prism Analytics:
Manage the end-to-end Workday Prism capability, including data ingestion, transformation stages, and publishing blended datasets for reporting.
- Executive Visualization:
Design and configure dynamic Dashboards and Scorecards to provide C-suite leaders with real-time, visualized insights.
- Data Logic:
Develop intricate Calculated Fields and leverage deep knowledge of Workday Business Objects to solve unique business requirements.
- Performance Tuning:
Act as Tier 3 support for reporting infrastructure, resolving data discrepancies, troubleshooting failures, and optimizing report run-times.

Key Requirements

- Experience:

4+ years of hands-on Workday Reporting & Analytics experience.
- Specialized Tech:
Proven mastery of Workday Prism Analytics, Composite
- Reports, and BIRT (Business Intelligence and Reporting Tools).
- Data Architecture:
Deep understanding of Workday Data Sources, Business
- Objects, and Security Models.
- Autonomy:
Strong analytical mindset with the ability to work independently to resolve complex data challenges.
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