Business Analyst II, Fraud Prevention

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Job summary

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Job summary

Within CTPS, the Selling Partner Risk team launches products and services that detect and prevent abuse on our store before it impacts a customer. We work with business partners across the organization to find and close gaps that lead to abuse and create and enforce selling policies that help ensure we have a fair marketplace. Our product and program managers work hand in hand with our engineering and science partners to develop and implement innovative solutions that help Sellers become successful and stop bad actors at scale, globally.

We are seeking a candidate who loves solving complex problems, is passionate about stopping bad actors and protecting customers. Plus, strong analytical skills and a proven track record of being able to successfully identify a solution, prepare a plan and execute it with strong results.

Key job responsibilities

We are seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. As a Business Analyst, you will focus on improving the success of Sellers in our store by analyzing data, discovering and solving real world problems, and building metrics and business cases to improve customer experience. We are focused on your success and want to build future leaders within Amazon. A key component of the role is to identify process and system improvement opportunities by monitoring existing metrics, analyzing data, and partnering with scientists, risk managers and program managers within the team. You will design and develop automated reporting solutions to surface potential gaps of existing mechanism and support data-driven decisions. You will define business logic with business owners and deploy heuristic solutions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.

· 3+ years relevant experience in financial/business analysis

BASIC QUALIFICATIONS

· 3+ years relevant experience in financial/business analysis

· Experience defining requirements and using data and metrics to draw business insights

· Experience making business recommendations and influencing stakeholders

· Experience with SQL, Excel

· Bachelors Degree, or equivalent work experience

· 3+ years of experience working on projects involving multiple stakeholders.

· 3+ years of demonstrated proficiency analyzing data, creating dashboard and business reports using SQL.

· Proven experience writing scripts using SQL, extracting and analyzing the data to provide precise reports to stakeholders.

· Demonstrated ability to consistently maintain a high level of integrity and discretion to handle confidential information.

· Proven superb customer service to the leadership team and other key stakeholders

· Demonstrated written and verbal communication skills.

· Proven ability to present complex information in a clear and concise manner to executives.

· Experience working in risk, fraud, or compliance organizations.

PREFERRED QUALIFICATIONS

· Experience working in risk, fraud, or compliance organizations.

· Basic knowledge of machine learning model evaluation metrics and calculation

· Basic knowledge of statistic concepts such as probability, distribution and statistical inference

· Basic script skills in Python and familiar with commonly used packages such pandas, sklearn and numpy

· Experience of handling massive data using Spark SQL or Scala

· Ability to create detailed business analysis, outlining problems, opportunities and solutions for a business stakeholders

· Familiar with defining configuration specifications and business analysis requirements

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.