Shield AISan Diego, California$130k-$240k
AmazonPosted 1w ago
Business Analyst II, Vendor Performance, OTS-GSP-TOPS at Amazon scores 20 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Build vendor performance data pipelines and predictive analytics models to manage technology operations vendors.
As the Business Analyst II, Vendor Performance, you will build and own the single source of truth for vendor performance across all TOPS programs — POS (NCR/Toshiba), Retail Scales (Bizerba), Depot (Denali/Truno), Smart Hands (Unisys/TechNet/Truno), Print Services (FlexPrint/Solum), In-Store Audio/Visual (Mood Media), and Finance Management 3P. You will extract, model, and analyze ServiceNow ticket data, vendor SLA metrics, and financial performance to deliver predictive visibility that enables proactive vendor accountability rather than reactive escalation.
This is not a reporting role. You will define the analytical frameworks that determine how TOPS measures vendor success, identify performance trends before they become store-impacting incidents, and provide the data foundation that drives process improvements and vendor negotiations. If you thrive on turning ambiguous data into actionable insight and want your analysis to directly influence multi-million-dollar vendor decisions, this is your role.
Key job responsibilities
Data Acquisition & Infrastructure
• Maintain automated data pipelines from ServiceNow (incident tasks, SLAs, work orders) to create a unified vendor performance data model across all vendors. Escalate and resolve data integrity defects.
• Own the TOPS vendor performance data architecture — define what we measure, how we measure it, among established sources of truth.
• Establish data quality standards and validation mechanisms for vendor-reported metrics vs. TOPS-measured actuals.
Analysis & Insight
• Optimization TOPS Vendor Scorecard: Support the composite scoring model program (Strategic, Efficiency, Tech Health pillars) applied consistently across all vendors.
• Develop predictive models that identify vendors trending toward SLA breach 2-4 weeks before store impact — shifting TOPS from reactive to preventive.
• Conduct root cause analysis on vendor performance deviations (regional patterns, seasonal trends, equipment-type correlations).
• Deliver monthly vendor performance narratives with actionable recommendations that directly inform Quarterly Business Reviews and vendor negotiations.
• Quantify the cost impact of vendor underperformance (missed SLAs → store downtime → revenue impact) to support contract enforcement.
Communication & Influence
• Present vendor performance insights to Leadership in narrative format, translating complex data into clear business implications.
• Partner with Vendor Programs Lead and individual Program Managers to ensure data drives vendor accountability conversations.
• Build self-service dashboards and automated reports that reduce manual reporting burden across the TOPS team.
• Influence vendor contract terms by providing irrefutable performance evidence during renewal negotiations.
A day in the life
Your morning starts with the automated vendor performance dashboard refreshing overnight data. You notice Bizerba's resolution times in the Southeast trending upward — your predictive model flags a likely SLA breach in 10 days if the pattern continues. You draft the insight narrative and send it to the Program Manager before the vendor even knows there's a problem. Mid-morning, you're refining the TOPS Vendor Scorecard methodology with the Vendor Programs Lead and Scorecard Program Manager, adding a new cost-per-resolution metric that will sharpen next quarter's contract negotiations. After lunch, you're building a new QuickSight dashboard that gives PMs self-service access to their vendor's real-time performance data — eliminating 4 hours of weekly manual reporting. You close the day presenting a root cause analysis to leadership: a pattern of NCR technician no-shows in three markets discovered by the Opportunities Program is costing $18K/month in extended downtime, and you have the data to enforce contractual remedies.
About the team
Our Organization: Our team sits in the OTS organization under Global Strategic Planning, focused on the technology vendor ecosystem that powers Whole Foods Market operations at scale. We ensure that third-party partners deliver the service quality, reliability, and cost efficiency that our stores depend on.
Our Culture: TOPS operates with a bias for action and an insistence on the highest standards. We are a data-driven team that values direct communication, intellectual honesty, and constructive disagreement. We celebrate people who challenge assumptions, bring evidence to the table, and hold each other accountable. We don't wait for permission — we identify problems, propose solutions, and execute.
Leadership Style: The hiring manager leads with directness and high autonomy. You will be given clear strategic direction and the freedom to define your own analytical approach — but you are expected to own outcomes fully, push back when you see a better path, and deliver insights that move the business. When blockers arise, they are addressed head-on — escalated quickly, resolved decisively, and never left to fester.
Expectations: Operate independently. Deliver measurable impact. Hold vendors accountable through irrefutable data. Your analysis will directly inform multi-million-dollar decisions — own that responsibility.
Basic qualifications
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience working with ITSM platforms (ServiceNow preferred) and extracting/modeling ticket-level data
Preferred qualifications
- Experience with supplier or vendor relationship management
- Experience statistical modeling, or related analytic techniques
- 7+ years of retail or operations, or 5+ years of retail or operations experience
- Knowledge of statistical software such as R, Python
- Experience in applying statistical models for large-scale application and building automated analytical systems
- Understanding of contract structures, SLA frameworks, and vendor governance models
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 81,700.00 - 143,100.00 USD annually
USA, TN, Nashville - 66,900.00 - 117,000.00 USD annually
USA, TX, AUSTIN - 74,300.00 - 130,100.00 USD annually
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Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Tell me about a project where vendor management was part of your work. What did you do?
- Tell me about a project where root cause analysis was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Modeling, Predictive Modeling, Vendor Management, Root Cause Analysis, and Data Analytics. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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