AI/ML Business Analyst 3

Job Description: This posting is contractual for position within the North America Marketplace Supply Chain organization



WHO ARE WE LOOKING FOR



We seek passionate analyst to join our team!As a Business Analyst, you will develop data quality

framework to surface data & pipeline health issues in real time to upstream teams thus signalling

on root cause of failure and reducing processing time to log in ticket and debug. This framework

will serve as a mandatory step for forecasting shipments hence it will have a direct impact on the

Supply Chain Ship Goals.



You should have strong experience in Python; algorithms and data structures; hands-on

Databricks experience; as well as experience in querying from data warehouse platform (e.g.

Snowflake). Knowledge on machine learning models will be plus. You should also have a

demonstrable history of converting business requirements to analytics to deliver value, and be

comfortable working in a light agile product model. As a business analyst , you will be expected

to own projects end-to-end - from conception to operationalization as well as partnering with

various other business analysts to develop a full accounted solution. As a result, you will be

expected to provide technical vision and guidance to your teammates; therefore, strong

communication skills are critical in this role.



WHAT WILL YOU WORK ON



If this is you, you ll be working with the Marketplace Supply Chain team at ***. With teammates

in Portland, you ll be joining an organization that is core of supply chain hence having an acumen

to solve problems quickly using analytics will be must with a vision on automation and developing

self serve capabilities. We value and nurture our culture by seeking to always be collaborative,

intellectually curious, fun, open, and diverse.



WHO WILL YOU WORK WITH



In this role, you ll be working closely with the rest of the business analysts and specialist with the

team, along with enterprise data teams. You will report to Principal Data Analytics .



WHAT YOU BRING



Bachelor's degree in data science, data analytics, computer science, data engineering or

related field

3-5 years of professional experience in Python, ML Ops, or related field

A demonstrated problem solving and analytical mindset

Ability to write robust, maintainable, and extendable code in Python(proficiency in

functional programming, developing modular optimized codes) and pushing to Github as

part of best practices

Expertise in data mining and knowledge of structured/unstructured datasets

Exposure to MLOps, Streamlit Front End Web UI are highly desirable

Experience with technologies like Databricks, Snowflake, AWS is highly desirable

Working knowledge of statistical models and business intelligence

Effective communication skills (with team members, the business, and in code)

Experience with agile development and test driven development