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Business analyst, misleading claims

Chieti
Amazon
Business analyst
Pubblicato il 12 maggio
Descrizione

Misleading Claims is part of the Regulatory Intelligence Safety and Compliance (RISC) organization. We are on a mission to protect customers from false and deceptive claims on products, enabling trustworthy shopping experiences at Amazon.

We are seeking an experienced Business Analyst to drive the metrics strategy and data infrastructure for Amazon's Misleading Claims program. This role will define, build, and own the key performance metrics that measure program effectiveness in protecting customers from deceptive product claims across our marketplace. The ideal candidate will independently identify underlying data sources, design new metrics frameworks where none exist, and deliver actionable insights that shape program direction. You will partner with Risk Management, Tech, Science, and Ops teams to translate complex enforcement outcomes into measurable business indicators. Strong analytical judgment, deep SQL proficiency, and experience working with trust and safety or compliance programs are essential. This role requires the ability to operate independently in ambiguous, fast‑moving environments where data definitions and measurement approaches must be built from the ground up.

Key Job Responsibilities
* Define and own the end‑to‑end metrics framework for the Misleading Claims program, including identifying gaps in existing measurement, creating new metrics, and establishing baselines and targets for program performance.
* Independently identify, evaluate, and onboard underlying data sources across enforcement, detection, and seller behavior systems to build a comprehensive data foundation for program analytics.
* Design and build dashboards and reporting mechanisms that provide real‑time visibility into program health, enforcement accuracy, detection coverage, and seller impact.
* Collaborate across cross‑functional teams – Risk, Legal, Operations, Science, Tech, and Finance – to align on metric definitions, data requirements, and reporting cadences.
* Provide data‑driven and actionable insights to senior stakeholders to influence roadmaps, prioritize enforcement strategies, and measure the effectiveness of ML/AI detection models.
* Develop key performance indicators that track progress against business objectives, including detection precision/recall, false positive rates, enforcement turnaround times, and seller remediation outcomes.
* Conduct deep‑diving analyses on misleading claims trends, abuse patterns, and enforcement outcomes to identify root causes and recommend program improvements.
* Build scalable, repeatable analytical processes and self‑service tools that reduce dependency on ad‑hoc analysis and enable the team to make faster, data‑informed decisions.

About the team

Misleading Claims is part of the Regulatory Intelligence Safety and Compliance (RISC) organization. As a newly established enforcement program, we’re building comprehensive policies, designing enforcement mechanisms, and developing scalable solutions leveraging ML/AI technologies to safeguard customers across our marketplace. Our team collaborates closely with Product Quality, Legal, Tech, Science, and Operations teams to define and execute misleading claims controls at scale. We’re establishing success metrics, creating seller education programs, and implementing a risk‑based approach that balances customer protection with seller success.

Basic Qualifications
* Bachelor’s degree or equivalent.
* 2+ years of business analyst, data analyst, or similar role experience.
* Experience with data visualization using Tableau, Quicksight, or similar tools.
* Experience with Excel.
* Experience with SQL.
Preferred Qualifications
* Experience defining requirements and using data and metrics to draw business insights.
* Experience partnering with executive‑level leaders to identify and solve business issues.

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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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