Full Job Description Salary:

$80,000-95,000/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.

Benefits Information:

We are proud to offer benefits and programs to support employees and their families in living healty, 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 FT employees who work 30+ hours Best-in-class well-being programs Annual, no-cost health assessment program Blueprint for Wellness healthyMINDS mental health program Vacation and Health/Flex Time 6 Holidays plus 1 MyDay off FinFit 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 so much more! 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 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. In this role, you will help develop and implement strategic scheduling plans for a workforce of 15,000+ 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 Quest's Secaucus, NJ HQ. Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.

Equal Opportunity Employer:

Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

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:

Bachelor's degree in a STEM field (e.g., Physics, Mathematics, Computer Science, Engineering, or a highly analytical equivalent) earned recently.

Experience:

0-2 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). 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Analyst, Workforce Management (WFM) Scheduling Solutions (Hybrid Opportunity)