Workday Integrations & Analytics Lead — AI‑Enabled

SRS Distribution Inc.; McKinney (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive weekly/bi-weekly pay

401(k) with company match

Employee stock purchase plan

Medical/dental/vision

Job summary

SRS Distribution Inc. is seeking a Workday Technical Analyst to design, maintain, and optimize Workday integrations and analytics solutions. The role focuses on secure data movement between Workday and systems, with an emphasis on enabling data transformation and enterprise reporting.

The candidate will build Prism data pipelines, collaborate with HR, IT, and vendors, and ensure data quality and compliance while supporting AI-assisted discovery and innovative analytics initiatives.

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Data Analytics or related field, or equivalent experience.
• 3+ years hands-on Workday integrations/Prism Analytics experience or Workday PRO certification.
• Knowledge of data security, governance, and data movement practices.

Responsibilities

• Design, develop, support, and optimize Workday integrations (Inbound/Outbound/Point-to-Point).
• Build and maintain Workday Prism data pipelines and transformation logic.
• Collaborate with stakeholders to define analytics requirements and deliver scalable data solutions.
• Ensure data quality, integrity, and security across all data movement and analytics processes.
• Support Workday biannual releases and maintain related documentation.

Skills

Integration expertise

Analytical thinking

Problem solving

Collaboration

Attention to detail

Adaptability

Education

Bachelor's degree in Information Systems or related field

Tools

Workday Studio

Workday Prism Analytics

EIBs/Core Connectors

APIs & web services

Job description

SRS Distribution Inc. is seeking a Workday Technical Analyst to design, maintain, and optimize Workday integrations and analytics solutions. The role focuses on secure data movement between Workday and systems, with an emphasis on enabling data transformation and enterprise reporting.

The candidate will build Prism data pipelines, collaborate with HR, IT, and vendors, and ensure data quality and compliance while supporting AI-assisted discovery and innovative analytics initiatives.