Meta AR/VR Job | Data Analytics Engineer (Transportation, Logistics and Fulfillment)
Job（岗位）: Data Analytics Engineer (Transportation, Logistics and Fulfillment)
Type（岗位类型）: Analytics
Citys（岗位城市）: Sunnyvale, CA
Date（发布日期）: 2023-12-12
Summary（岗位介绍）
The Business Enablement Team (BET) within Meta Reality Labs is looking for a Data Analytics Engineer with deep technical and functional understanding and expertise of supply chain for the consumer electronics industry with an emphasis on global Transportation, Logistics and Fulfillment (TLF). The candidate must have excellent technical data analytics skills, such as SQL and Python, and have business acumen as it pertains to logistics and fulfillment. Excellent communications skills and an aptitude for close collaboration with business leadership, data engineering and solution teams are a must.
As a data analytics engineer on the BET team at Meta, you can help build cutting-edge full-stack technologies that will transform the way people and businesses connect and communicate. You’ll help develop industry-leading solutions that power next-generation, large-scale platforms to help connect billions of people around the world.
Qualifications（岗位要求）
5+ years of work experience in data analytics
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent work experience.
Experience working with supply chain functions within the transportation, logistics and/or fulfillment space.
Experience with SQL, ETL and data modeling
Experience in developing and working with Tableau driven dashboards and analytics.
Experience querying and displaying large data sets while maximizing the performance of the workbook.
Experience interpreting technical or dashboard structures and translating them to complex business requirements to technical specifications.
Experience in building internal and external customer relationships.
Experience with Agile and/or scrum project management techniques.
Description（岗位职责）
Design, develop, integrate, maintain, build, and launch collections of data models, queries, reports and visualizations that support multiple use cases for TLF.
Leads data and analytics within TFL and XFN squads, engineers, business owners, solution leads, and data scientists to understand data needs, representing key data insights in a meaningful way.
Collaborates with data architecture teams to conceptualize multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Conduct unit tests and develop database queries to analyze the effects and troubleshoot any issues.
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Mentor team members by giving/receiving actionable feedback
Additional Requirements（额外要求）
Master’s degree in a STEM field
Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, data privacy
Experience working with large scale data models
Experience with at least one programming language (e.g., Python, C++, C#, Scala, R, etc.)
Experience working in the high-volume consumer electronics industry, preferably in supply chain and operations functions.
