Analyst, Workforce Management; WFM Scheduling Solutions; Hybrid

Salary

Salary: $80,/year, plus yearly bonus

Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation.

We are proud to offer benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects: physical, financial, and developmental. Depending on whether it is a part‑time or full‑time position, some of the benefits offered may include:

• Day 1 Medical, supplemental health, dental & vision for FTE employees who work 30+ hours
• Best‑in‑class well‑being programs
• Annual, no‑cost health assessment program
• Blueprint for Wellness
• healthy MINDS mental health program
• Vacation and Health/Flex Time
• 6 Holidays plus 1 My Day off
• Fin Fit financial coaching and services
• 401(k) pre‑tax and/or Roth IRA with company match up to 5% after 12 months of service
• Employee stock purchase plan
• Life and disability insurance, plus buy‑up option
• Flexible Spending Accounts annual incentive plans
• Matching gifts program
• Education assistance through MyQuest for Education Career advancement opportunities and suchmuchmore!

Are you a recent graduate with a degree in Mathematics, Physics, Computer Science, or a related analytical field? Are you looking to apply your complex problem‑solving skills to real‑world business challenges?

Analyst, WFM Scheduling Solutions is a critical, highly analytical role responsible for the stability, maintenance, and optimization of our enterprise scheduling operations. You do not need a background in HR systems— we will teach you the intricacies of Oracle Cloud HCM and workforce management. What you bring to the table is a logical mindset, the technical agility to learn new platforms quickly, and a passion for optimizing systems.

The Analyst role is hybrid (3 days on site) from Quest’s Secaucus, NJ HQ.

System Analysis & Optimization

• Learn & Apply:
  Master the logic and configuration of Oracle Workforce Scheduling, applying your analytical background to understand shift assignments, availability algorithms, and complex labor rules.
• Data‑Driven Insights:
  Analyze scheduling metrics and large datasets to identify trends, process bottlenecks, and areas for automation or improvement.
• Troubleshooting:
  Act as a technical problem‑solver for complex scheduling issues. Dive into system logic, data models, and configurations to resolve discrepancies in shift generation and eligibility.
• Continuous Improvement:
  Proactively identify opportunities to leverage advanced optimization algorithms, system features, or custom scripts to drive operational efficiency.

Development & Maintenance

• Release Testing:
  Participate in end‑to‑end testing for Oracle Quarterly Release Updates. Apply a methodical, scientific approach to regression testing, ensuring zero‑day stability.
• System Health:
  Monitor background processes, data flows, and automated scheduling engines to ensure system accuracy.
• Solution Development:
  Work alongside senior technologists to support data integrations (via APIs or tools like Power Automate) and build reporting queries (using SQL or similar data extraction methods) to bridge system gaps.

Business Partnership

• Collaborative Problem Solving:
  Partner with a centralized group of professional schedulers to understand their operational needs, pain points, and customer traffic patterns.
• Knowledge Sharing:
  Translate complex technical concepts into user‑friendly guidance, helping to define and enforce global scheduling standards.
• Adaptability:
  Stay abreast of industry trends in algorithmic scheduling and workforce management technologies.

Key Performance Indicators (KPIs)

• Learning Agility:
  Rapidly acquire proficiency in Oracle Cloud HCM scheduling architecture and data models within the first 6 months.
• Resolution Efficiency:
  Successfully triage and resolve technical scheduling defects, focusing on root‑cause analysis and Time to Resolve.
• Process Optimization:
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