Risk Analyst, Relay Product Excellence

Amazon is hiring a Risk Analyst, Relay Product Excellence in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Amazon - Middle Mile is seeking a Risk Specialist to assist with identity verification and fraud mitigation for daily freight movements flowing into and out of our North American fulfillment centers and our associated fulfillment network. This is an exciting opportunity to join a new team in a huge growth area for Amazon.

Amazon is looking for a Risk Specialist to work with large scale data, building deep dive reports, dynamic visualizations and dashboards for end-user consumption. Moreover, the candidate should have the ability in using advance excel, knowledge about some scripting language and statistics, to drive complex insights and analysis. In this role the Risk Specialist will supporting strategic initiatives and operational improvements by finding & analyzing data, identifying trends, and translating business needs into actionable insights.

Key job responsibilities
- Write queries, compile data, and generate reports utilizing technologies such as RedShift, RDS (MySQL, MSSQL), Spectrum, and ETL.

- Tell a story based off the data, propose insights, and see actions through to the finish on those insights
- Interacting with business stakeholders, gathering requirements and developing complex analytics model and data-sets for deep dive
- Identifying the data quality issues across the various platforms at Amazon
- Extracting and combining data from various heterogeneous data sources
- Design and build data visualization tools to provide scalable solution for self-service metrics reporting
- Understand the business impact of the trends and make decisions that make sense based on available data
- Knowledge to systematically escalate problems or variance in the information and data to the relevant owners and teams
- Work within various time constraints to meet critical business needs, while measuring and identifying activities performed
- Written and verbal communication experience, as you will be required to create a narrative outlining your weekly findings, and present these finding in a review forum
- Participate in ad-hoc projects and assignments as necessary
- Partner with cross functional teams across Amazon for collaboration on fraud risks and investigations
- Apply risk management best practices to mitigate issues, identify operational inefficiencies

Basic qualifications

- Bachelor's degree or equivalent
- 2+ years of work experience in logistics/transportation industry
- Experience working on identity verification/ fraud detection processes
- Knowledge of MS Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts
- Familiarity with Excel spreadsheets and ability to navigate and interpret data through SQL

Preferred qualifications

- Knowledge in data and experience spotting trends and fixing gaps
- Knowledge using data to drive root cause elimination and process improvement
- Data management & data quality control experience with experience pulling and analyzing large sets of data
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Minimum 1 year experience working with AWS / Quicksight tools
- Knowledge of Python, VBA, Macros, Selenium scripts
- Experience using Python or R for data analysis or statistical tools such as SAS

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.

How we rate this

Risk Analyst, Relay Product Excellence at Amazon rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.