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Job Description
Our overall mission is simple: To be earth s most customer centric company. We want Amazon to be the place where our customers can find, discover and buy anything online. Whatever our customers want, we will find the means to deliver it. With your help, Amazon will deliver world class AI generated experiences to our customers.
Amazon is looking for a Quality Analyst based in Bangalore who will have responsibility to assess the output produced by content moderators and machine learning models, assessing the quality and providing vital insights to program, operations, and science teams to improve moderator and machine learning models quality.
The role will require you to be a leader who prioritizes supporting the organization and ensuring defects do not persist. Your role will be to help set and oversee the quality standards of the data the team produces. You will define metrics, identify external signals, and build processes to reduce risk across the programs you support. You will consolidate large data sets into simplified insights that drive business growth and reduce risk.
You will also be responsible for producing reports that show the quality assessments completed by the quality team as well as conducting data analysis to identify key drivers and insights that may be reducing the effectiveness of the models outputs. You will produce reports and evidence backed by data and present these findings to science, engineering and program teams.
Key job responsibilities
Leadership:
Knows and communicates the Amazon mission, vision and strategy
Demonstrates passion for delivering a positive customer experience, and maintain composure in difficult situations
Demonstrates the ability to give overall direction, performance, coordination and evaluation
Experience interviewing and selecting people who will maintain a high-performance bar in Amazon
Strong interpersonal and communication skills, good listener, used to interact with up to Director level
Positive communicator who understands when necessary how to have tough conversations
Ability to confidently facilitate team discussions and communicate business messages
Maintains a high level of professionalism and approachability
Can adapt well to changing circumstances, direction, and strategy
Ability to organize, prioritize and schedule work assignments
Proven ability to manage reporting, data manipulation and analysis
Experience managing core business KPI s
Assist in developing and implementing training programs to improve the quality and productivity of the team
Operational Delivery
Understands operational principles of service delivery and uses data to support continuous improvement
Ability to use data and insights to prepare metric reviews
Acts as the operational representative for business teams to understand voice of the partner in key process or policy changes
Builds plans to test and experiment new approaches to service delivery
Continuous Improvement
Uses data to identify areas of ongoing improvement in how service is delivered
Guideline Development: Collaborate with the annotation team and linguistic experts to refine and develop annotation guidelines, taking into consideration different language nuances, linguistic phenomena, and use cases.
Feedback Loop: Continuously communicate with the model development team to provide insights and observations regarding annotation challenges, linguistic subtleties, and potential improvements for the language model's performance.
Data Integrity: Ensure the accuracy and integrity of the annotated data by performing regular quality checks, identifying and addressing inconsistencies, and maintaining a high standard of data cleanliness.
Collaboration: Work closely with other annotation team members, data scientists, and linguists to ensure effective collaboration and knowledge sharing, contributing to a positive and productive work environment.
Adaptation: Keep up-to-date with the latest linguistic trends, developments, and emerging language phenomena to adapt annotation strategies and guidelines accordingly.
A day in the life
This is an IC role focused on quality assessments and data insights for the program, operations, and quality teams to action and drive improvement.
You will provide reports that include the outcome and quality assessment of the audit and present findings, trends, and insights to business and science teams to improve the models training.
We are open to hiring candidates to work out of one of the following locations:
Bangalore, KA, IND, - 2+ years of tax, finance or a related analytical field experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL
- Bachelor's degree or equivalent
- Experience with Excel
- Experience making business recommendations and influencing stakeholders - Experience working with Tableau
- Experience using very large datasets
- Excellent verbal and written communication skills
- Ability to influence senior leaders
- Prior experience in a risk organization
Employement Category:
Employement Type: Full time
Industry: BPO / Call Center
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Quality Analyst, Prime Video
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