Analyst, Workforce Management (WFM) Scheduling Solutions (Hybrid Opportunity)

Salary: $/year plus yearly bonus

.

BenefitsInformation:-timeorfull-timepositionsomeofthebenefitsofferedmayinclude:

• Day1Medicalsupplementalhealthdental&visionforFTemployeeswhowork30hours
• Best-in-classwell-beingprograms
• Annualno-costhealthassessmentprogram
• BlueprintforWellness
• healthyMINDSmentalhealthprogram
• VacationandHealth/FlexTime
• 6Holidaysplus1MyDayoff
• FinFitfinancialcoachingandservices
• 401(k)pre-taxand/orRothIRAwithcompanymatchupto5%after12monthsofservice
• Employeestockpurchaseplan
• Lifeanddisabilityinsuranceplusbuy-upoption
• FlexibleSpendingAccountsAnnualincentiveplans
• Matchinggiftsprogram
• EducationassistancethroughMyQuestforEducationCareeradvancementopportunitiesandsomuchmore!

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

The 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 systemswe 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.

In this role you will help develop and implement strategic scheduling plans for a workforce of 15000 employees. You will apply your scientific or computational background to analyze scheduling metrics troubleshoot complex logic errors and help develop integrations and automations that drive our scheduling solutions forward. This role offers an exciting opportunity to launch your career at the intersection of enterprise technology data analytics and operational efficiency.

The Analyst role is hybrid (3 days on site) from Quests 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:Contribute to at least two significant workflow enhancements reporting improvements or automations annually.
• Testing Accuracy:Ensure high success rates in Quarterly Release Update testing through rigorous and methodical validation.

Education & Experience

• Education:Bachelors degree in a STEM field (e.g. Physics Mathematics Computer Science Engineering or a highly analytical equivalent) earned recently.
• Experience:02 years of professional experience. Internships academic research or capstone projects involving data analysis systems modeling or programming are highly valued.

Technical & Cognitive Skills

• Analytical Prowess:Exceptional logical reasoning and problem-solving skills. Ability to deconstruct complex multi-variable problems (much like a physics or math equation) and design elegant solutions.
• Technical Aptitude:Familiarity with or eagerness to learn data querying (SQL) data visualization/modeling and API-based integrations.
• Systems Thinking:Ability to understand how data flows between interconnected systems (e.g. from a scheduling engine into payroll).
• Communication:Strong ability to document technical processes clearly and communicate effectively with both technical and non-technical stakeholders.
• Commitment:Standard 40-hour week with occasional support required during major software release windows.

Preferred (But Not Required) Skills

• Exposure to any programming or scripting languages (e.g. Python R JavaScript).

• Familiarity with database concepts JSON payloads or REST APIs.