Business Analyst 3_USD

A-Line Staffing Solutions LLC; Folsom (CA); Vor Ort; USD 80.000 - 88.000; Vollzeit

Benefits dieser Stelle

Medical benefits after 90 days

401(k) with company match

Zusammenfassung

A-Line Staffing is now hiring a Business Analyst in Folsom, CA for a Fortune 500 company. This is a full-time, in-office role requiring 40+ hours per week, with no remote option and no sponsorship. Compensation is $58–$64 per hour based on experience, and a 6-month contract with potential extensions and potential for permanent hire.

Benefits include medical after 90 days and a 401(k) with company match. The role focuses on driving timely escalation decisions by converting demand signals into

Qualifikationen

• 5+ years driving planning/analytics in demand, supply, or business operations.
• Bachelor’s degree in Business, Engineering, Supply Chain, Analytics, or equivalent.
• Proven ability to structure ambiguous data into insights and recommendations.
• Experience influencing decisions in executive and cross-functional forums.
• Operational rigor with reliable delivery under tight timelines.
• Attendance is mandatory for the first 90 days.

Aufgaben

• Identify critical demand and segment by group and product.
• Consolidate view of demand integrating forecast deltas and risk signals.
• Drive data integrity and alignment across inputs for escalation discussions.
• Own governance of the critical-demand tracker as the system of record.
• Deliver decision-grade analytics for escalation forums with horizon-based sizing.
• Translate signals into clear executive narratives with actionable steps.
• Collaborate with planning and supply chain to assess constraints.
• Run escalation cadence: intake, prioritization, status reporting, stakeholder updates.
• Track owners, actions and due dates for leadership commitments.
• Enforce a quality gate for timely, decision-ready escalations.

Kenntnisse

Demand planning & analytics

Cross-functional collaboration

Executive communication

Data-driven decision making

Ausbildung

Bachelor’s degree in Business, Engineering, Supply Chain, Analytics, or equivalent

Jobbeschreibung

A-Line Staffing is now hiring a Business Analyst in Folsom, CA. The Business Analyst would be working for a Fortune 500 company and has career growth potential. This would be full time / 40+ hours per week. C2C is not accepted for this position. Candidates must be able to work without sponsorship from a 3rd party.

Business Analyst Compensation Pay: $58–$64 per hour, based on experience

Medical benefits are available after 90 days of employment

A 401(k) with a company match is available for full-time employees with 1 year of service on our eligibility dates

Highlights Schedule: Monday–Friday, 8-hour day shift

Location: 100% in office in Folsom, CA | Candidates must be local there is no opportunity to work remote. Candidates willing to relocate are accepted, however, relocation costs are not covered by the employer and are at the expense of the candidate.

This is a 6-month contract with potential for contract extensions and potential for permanent hire based on attendance, performance, and business needs.

Job Summary: Drive timely, high-quality escalation decisions by converting demand, DDQ, incorporate AI driven solutions and forecast signals into actionable executive insights across MSR and Sales Lock horizons. Partner with Segment Leads, BU Planners, Sales, and AEBU leadership to prioritize critical demand, quantify impact, align trade-offs, and ensure disciplined follow-through to closure.

Job Responsibilities:

• Critical Demand Identification & Segmentation
• Establish a consolidated view of critical demand by segment, customer, and product, integrating forecast deltas, DDQs, and risk signals.
• Drive data integrity and alignment across segment, Sales, and BU Ops inputs to ensure escalation discussions are based on consistent definitions and facts.
• Own governance of the critical-demand tracker as the system of record for AEBU escalation readiness and status.
• Escalation Analytics & Decision Support
• Deliver decision-grade analytics for escalation forums, including horizon-based gap sizing and allocation trade-off options.
• Translate complex signals into a clear executive narrative: whats at risk, why, by when, and recommended actions and incorporating AI based solutions.
• Partner with BU Planning and Supply Chain to convert constraints into feasible scenarios and implications for customers and segments.
• Escalation Tracking & Follow-through
• Run the escalation operating cadence: intake, prioritization, status reporting, and stakeholder communications.
• Establish accountability by tracking owners, actions, and closure dates for leadership commitments.
• Enforce a quality gate so each escalation is decision-ready (DDQs, timing, quantified impact, and recommended path).
• Cross Functional Collaboration
• Align Segment, Sales/BDM, BU Ops, and Supply Chain stakeholders on priorities, customer context, and executable supply/demand decisions.
• Process & Capability Improvement
• Scale AEBU escalation capability by improving data consistency, lead-time visibility, and early warning indicators.
• Surface recurring gaps and drive root-cause actions to prevent repeat escalations.

Requirements:

• 5+ years driving planning/analytics in demand, supply, or business operations environments
• Bachelor’s degree in Business, Engineering, Supply Chain, Analytics, or equivalent experience
• Proven ability to structure ambiguous data into insights and recommendations
• Experience influencing decisions in executive and cross-functional forums
• Operational rigor; reliable delivery under tight timelines
• Attendance is mandatory for the first 90 days.

Preferred Qualifications:

• Experience in semiconductor/technology or other complex, constrained supply environments
• Working knowledge of forecasting, constrained supply planning, and allocation/escalation operating models
• Advanced analytical tooling and modeling capability; planning systems experience a plus
• Comfort challenging inputs constructively and driving alignment in ambiguous situations

Key Success Measures:

• Higher decision quality: consistent, quantified critical-demand packages entering escalation forums
• Faster time-to-decision from intake to leadership disposition
• Fewer late-stage escalations through earlier signal detection and stronger data rigor
• Increased leadership confidence in escalation analytics, trade-offs, and follow-through