Senior Data Analytics Engineer

The Business Enablement Team (BET) within META Reality Labs is looking for a Sr Data Analytics Engineer with technical and functional understanding and experience of supply chain. Analytics Engineer on the Business Enablement Team at Meta, you will be responsible for designing, developing, and maintaining complex data models, queries, reports, and visualizations that support multiple use cases for supply chain operations. You will work closely with cross-functional teams, including business owners, solution leads, and data scientists, to understand data needs and represent key data insights in a meaningful way. Additionally, you will provide technical leadership and guidance to other team members and contribute to the development of best practices and standards for data analytics.Senior Data Analytics Engineer Responsibilities

• Design, develop, integrate, maintain, build, and launch complex collections of data models, queries, reports, and visualizations that support multiple use cases for multiple squads in Reality Labs (RL)
• Collaborate with cross-functional teams, including business owners, solution leads, and data scientists, to understand data needs and represent key data insights in a meaningful way
• Develop and maintain data pipelines, dashboards, and reports to support supply chain operations
• Conduct unit tests and develop database queries to analyze the effects and troubleshoot any issues
• Optimize pipelines, dashboards, frameworks, and systems to facilitate the easier development of data artifacts
• Provide technical leadership in Tableau, Data Architecture and guidance to other team members
• Contribute to the development of best practices and standards for data analytics

Minimum Qualifications

• 6+ years of experience in developing and working with Tableau driven dashboards and analytics
• 5+ years of work experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
• Experience to query and display large data sets while maximizing the performance of the workbook
• Experience to interpret technical or dashboard structure and translate complex business requirements to technical specifications
• Experience working in the high-volume consumer electronics industry, especially in supply chain and operations functions
• Experience in building internal and external customer relationships
• 2+ years of experience with Agile and scrum project management techniques
• Leadership and mentoring skills

Preferred Qualifications

• 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

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$150,000/year to $213,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
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