Analytics Engineer (Customer Support)
Sunnyvale, CA
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.Analytics Engineer (Customer Support) Responsibilities
- Design, develop, integrate, maintain, build, and launch collections of data models, queries, reports and visualizations that support multiple use cases for Enterprise Customer Support.
- Leads data and analytics within Customer Service 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.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 5 years of work experience in data analytics.
- Experience working with operations functions, preferable in the customer support operations space.
- Experience with SQL, ETL, data modelling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.).
- Experience in developing and working with data visualization tools creating data driven dashboards and analytics.
- Experience working in the high-volume consumer electronics industry.
- 2+ years of experience with Agile and scrum project management techniques.
- Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, data privacy.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: Agile Architecture Computer Science Data Analytics Data governance Data quality Data visualization Data Warehousing Engineering ETL Physics Pipelines Privacy Python Scala Scrum SQL VR
Perks/benefits: Career development Equity Flex vacation Health care Salary bonus
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