What are the responsibilities and job description for the Business Analyst II, Buyer Abuse Prevention Machine Learning position at Amazon?
DESCRIPTION
Our mission as the Buyer Risk Prevention (BRP) organization is to make Amazon the safest and most trusted place worldwide to transact online. An essential part of this mission is to prevent buyers from abusing Amazon policies. Buyer abuse leads to reputational and financial loss for Amazon and our selling partners as well as a loss of trust from other buyers. As such, the Buyer Abuse Prevention (BAP) team designs and builds the software systems, Machine Learning-based risk evaluation systems, and operational processes that minimize risk and maximize trust in Amazon.com. The Buyer Abuse Prevention team is looking for a Business Analyst to work closely with its Machine Learning team.
As a Business Analyst, you will be responsible for modeling complex problems, analyzing terabytes of data to discover insights, and identifying opportunities through the use of business intelligence, data mining, and visualization techniques. You will need to collaborate effectively with ML scientists, internal stakeholders, and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools and analytical techniques to answer a wide range of high-impact business questions and present insights in a concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high-impact role with goals that directly impact the bottom line of the business.
Key job responsibilities
- Work closely on high-impact cross-functional projects with internal stakeholders such as scientists and business partner teams and understand their requirements
- Perform data queries by retrieving and aggregating data from multiple sources using appropriate tools and scripting languages like SQL, Python, etc.
- Analyze complex customer trends to identify risk patterns and support scientists to build Machine Learning-based risk evaluation systems
- Execute projects by relying on strong understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning techniques, etc.)
- Draw insights and conclusions, create visualization of processed data, and identify trends and anomalies
- Effectively communicate complex methodologies and results to stakeholders and influence product strategy
- Design and develop efficient and scalable metrics and dashboards using SQL and Excel/Tableau/QuickSight
About the team
Our team consists of scientists and analysts as part of the Buyer Abuse Prevention (BAP) Machine Learning (ML) team. We develop, build, and own ML-based solutions for worldwide buyer abuse prevention. We collaborate closely across multiple functions (business, engineering, operations, etc.) to prevent buyers from abusing Amazon policies through various short- and long-term solutions.
BASIC QUALIFICATIONS
- 5 years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3 years of business analyst, data analyst or similar role experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with SQL
- Bachelor's degree or equivalent
PREFERRED QUALIFICATIONS
- Master's degree in computer science, engineering, mathematics or equivalent
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,900/year in our lowest geographic market up to $143,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Salary : $66,900 - $143,100
