Lead - Talent Insights

• Lead Talent Insights is responsible for creating advanced reports and dashboards in Workday to support all HR functional areas for all HR and Business Leader customers across the enterprise.
• Subject areas include workforce, DEI, learning, performance, engagement/surveys, associate relations, HR operations, hybrid workforce and many others.
• Knowledge of Workday report writing is required and advanced report writing as well as Workday Prism report writing are preferred.
• This role requires strong collaboration skills and the ability to solve complex challenges.
• The associate will be tasked with finding innovative ways to display data that improve the user experience and provide insights to drive business decisions.
• The role requires the design, development, prototyping, testing of dashboards and analytics solutions

JOB RESPONSIBILITY

• This role partners with the HRIT team to automate data ingestion and flows into Workday Prism and AWS, including bringing non-Workday into Workday so that it can be delivered within Workday reports and dashboards.
• Responsibilities include troubleshooting data processes and ensuring a reliable flow of data required for all HR reporting and analytics.
• Role is also responsible for supporting AI and analytics automation leveraging Spark, SLIP and other GenAI tools.
• This role will help bring in maturity to the Talent Analytics team by developing necessary solutions using people data across functions within HR using Workday Extend and Studio
• Responsible for partnering with internal team members onshore and offshore to guide and lead projects using the above technologies
• Responsible for data integration, transformation, data management and data engineering to support the AWS data lake and Workday Prism Analytics and Prism Datasets
• This role will also be responsible to build solutions on Workday, Power BI/Tableau based on the needs of the end user, via reports, dashboards, visualizations and automation efforts

QUALIFICATION

• Bachelors or masters degree in computer science, Data Science, Information Systems, HR Analytics, or a related field.
• 5+ years of experience in data engineering, analytics, or HR technology.

EXPERIENCE

• 5-8 years of relevant experience

Workday Expertise

• Hands-on experience with

  Workday Prism Analytics

  ,

  Workday Extend

  , and

  Workday Studio

  .
• Experience integrating non-Workday data into Workday and building reports/dashboards within Workday.

Cloud & Data Engineering

• Strong experience with

  AWS

  (especially data lake architecture),

  ETL pipelines

  , and

  data transformation

  .

• Python

  for data processing and automation.

Analytics & Visualization Tools

• Proficiency in

  Power BI

  ,

  Tableau

  , or similar BI tools for building dashboards and visualizations.

AI & Automation

• Exposure to

  GenAI tools

  ,

  SLIP

  , and other AI-driven automation frameworks.
• Experience in implementing AI/ML solutions in HR analytics is a plus.

Workday Prism Certification