Manager, Business Analyst, OPTIMA
Manager, Business Analyst, OPTIMA
Posted on :
04-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
We are looking for a leader who can own our analytics roadmap develop and grow the careers of Business Analysts in our team and serve as a key partner for our Operations Product Engineering and Science teams.
In this role you will: a) lead a team of Business Analysts to identify and solve business problems using vast amounts of data from disparate sources; b) drive a Analytics roadmap prioritizing business insight requests to balance the tactical and strategic information needs; c) work closely with our Ops and Engineering teams to build maintain pipelines which powers critical products/features that influence operations CX Product and Science d) guide and coach your team to continuously improve operational excellence and ability to deliver best-in-class solutions.
About the team
OPTIMA Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features devices and locales. Our primary focus lies in handling annotations for training measuring and improving Artificial Intelligence (AI) and Large Language Models (LLMs) enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazons LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle leveraging technology alongside our operational excellence. By joining us you will play a pivotal role in shaping the future of the shopping experience for customers worldwide.
- Bachelors degree in Business Engineering Statistics Computer Science Mathematics or related field
- 5 yrs of experience in a business analyst/data analyst/statistical analyst role
- 2 leading a team of Business Analysts
- Highly skilled at querying relational databases ability to pull from various sources and having done so in a business environment
- Experience in data visualization platforms
- Proven problem-solving skills project management skills attention to detail and exceptional organizational skills
- Communication (verbal written and data presentation) and interpersonal skills to effectively communicate with both business and technical teams
- Masters degree in Business Engineering Statistics Computer Science Mathematics or related field
- Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.)
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
In this role you will: a) lead a team of Business Analysts to identify and solve business problems using vast amounts of data from disparate sources; b) drive a Analytics roadmap prioritizing business insight requests to balance the tactical and strategic information needs; c) work closely with our Ops and Engineering teams to build maintain pipelines which powers critical products/features that influence operations CX Product and Science d) guide and coach your team to continuously improve operational excellence and ability to deliver best-in-class solutions.
About the team
OPTIMA Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features devices and locales. Our primary focus lies in handling annotations for training measuring and improving Artificial Intelligence (AI) and Large Language Models (LLMs) enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazons LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle leveraging technology alongside our operational excellence. By joining us you will play a pivotal role in shaping the future of the shopping experience for customers worldwide.
- Bachelors degree in Business Engineering Statistics Computer Science Mathematics or related field
- 5 yrs of experience in a business analyst/data analyst/statistical analyst role
- 2 leading a team of Business Analysts
- Highly skilled at querying relational databases ability to pull from various sources and having done so in a business environment
- Experience in data visualization platforms
- Proven problem-solving skills project management skills attention to detail and exceptional organizational skills
- Communication (verbal written and data presentation) and interpersonal skills to effectively communicate with both business and technical teams
- Masters degree in Business Engineering Statistics Computer Science Mathematics or related field
- Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.)
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
