UKG Scheduling Systems Analyst

DeWinter Group; Foster City (CA); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid work environment

Job summary

DeWinter Group is seeking a UKG Scheduling Systems Analyst to optimize UKG Pro Advanced Scheduling configurations and improve scheduling efficiency. You will work with Workforce Management to translate requirements into system changes in a hybrid Foster City, CA environment.

Responsibilities include assessing current setups, supporting testing and validation, and exporting data for reporting. Strong forecasting and data analysis skills are essential for data‑driven decisions.

Qualifications

• Experience configuring UKG Pro Workforce Management Advanced Scheduling.
• Ability to translate operational needs into system configurations.
• Experience with forecasting and capacity planning.
• 3–5 years in workforce management or analytics.
• Excellent analytical and communication skills.

Responsibilities

• Assess and optimize UKG Advanced Scheduling setups.
• Collaborate with Workforce Management and schedulers.
• Support configuration changes, testing and validation.
• Document configurations and testing outcomes.
• Create reports from forecasting data to inform decisions.
• Export data to Google Sheets for analysis.

Skills

UKG Pro Advanced Scheduling

System assessment

Forecasting

Capacity planning

Data-driven analysis

Education

Bachelor’s or Master’s degree

Tools

Google Sheets

NICE

Job description

UKG Scheduling Systems Analyst

Join a pioneering team shaping the future of autonomous transportation as a UKG Scheduling Systems Analyst. This critical role focuses on leveraging your expertise in workforce management systems, particularly UKG Pro Advanced Scheduling, to optimize scheduling configurations and improve operational efficiency. As a key member of the Workforce Management team, you will help identify gaps, recommend improvements, and ensure the scheduling system accurately supports the company's dynamic needs in a hybrid environment in Foster City, CA.

What You Will Do:

• Assess and analyze the current UKG Advanced Scheduling setup, pinpointing inefficiencies and opportunities for enhancement.
• Collaborate with Workforce Management colleagues and schedulers to translate operational needs into system configurations.
• Support the implementation, testing, and validation of configuration changes to ensure optimal performance.
• Document system configurations, testing outcomes, and improvement recommendations for ongoing team use.
• Utilize forecasting and operational data to evaluate scheduling outcomes, develop reports, and support data-driven decision-making.
• Perform targeted analysis to support scheduling improvements and related workforce initiatives.

Required Skills:

• Proven hands-on experience configuring or optimizing UKG Pro Workforce Management Advanced Scheduling.
• Ability to assess existing scheduling systems, identify improvements, and validate outcomes.
• Strong understanding of workforce forecasting, capacity planning, and translating operational requirements into system configurations.
• 3–5 years of experience in workforce management, operations analytics, or similar fields.
• Excellent analytical, problem-solving, and communication skills, with an eye for detail and data integrity.

Nice to Have Skills:

• Experience with other workforce management tools such as NICE.
• Background in large-scale, 24/7 service environments, fleet operations, or contact centers.
• Detailed knowledge of workforce management platforms beyond UKG.

Preferred Education and Experience:

• Bachelor’s or Master’s degree in Data Science, Statistics, Operations Research, Economics, Engineering, Business, or related fields.
• Equivalent practical experience will also be considered.

Other Requirements:

• Hybrid work environment in Foster City, CA, requiring at least 3 days in the office.
• Demonstrated ability to export data from UKG Advanced Scheduler to tools such as Google Sheets for analysis.
• No coding experience necessary but an understanding of external system workflows is advantageous.

This role offers a unique opportunity to influence the efficiency of a forward-thinking operation, supporting cutting-edge autonomous transportation technology through expert workforce management.