Data Developer
Meta
Data Developer
Job Description
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.
Locations
- Austin, TX, USA
Salary
Estimated Salary Rangemedium confidence
12,000,000 - 25,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Master’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Data Analytics, Quantitative Management, or a related field and 12 months of experience in the job offered or in a data science or data analytics-related occupation Require 12 months of experience in the following: Querying and manipulating complex raw datasets for analysis using SQL and at least one of the following scripting languages: PHP, Python, or Perl Data visualization tools, including Tableau, or Looker Reporting systems, data pipeline architecture and data modeling and Clearly explaining technical concepts and analysis implications to varied audiences, and translating business objectives into actionable analyses (experience)
Responsibilities
- Apply quantitative skills and incorporate qualitative insights to inform and influence strategy for Global Operations. Partner with Operations, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities. Analyze data, conduct research and synthesize feedback into plans, processes and playbooks. Build/maintain data infrastructure (data pipelines, aggregated data sets, reports, dashboards) to monitor the performance of our operations and drive business understanding. Drive demand forecasting, scenario planning, and prioritization to optimize the community and business impact of operational expenditures.
Tags & Categories
Data Developer
Meta
Data Developer
Job Description
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.
Locations
- Austin, TX, USA
Salary
Estimated Salary Rangemedium confidence
12,000,000 - 25,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Master’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Data Analytics, Quantitative Management, or a related field and 12 months of experience in the job offered or in a data science or data analytics-related occupation Require 12 months of experience in the following: Querying and manipulating complex raw datasets for analysis using SQL and at least one of the following scripting languages: PHP, Python, or Perl Data visualization tools, including Tableau, or Looker Reporting systems, data pipeline architecture and data modeling and Clearly explaining technical concepts and analysis implications to varied audiences, and translating business objectives into actionable analyses (experience)
Responsibilities
- Apply quantitative skills and incorporate qualitative insights to inform and influence strategy for Global Operations. Partner with Operations, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities. Analyze data, conduct research and synthesize feedback into plans, processes and playbooks. Build/maintain data infrastructure (data pipelines, aggregated data sets, reports, dashboards) to monitor the performance of our operations and drive business understanding. Drive demand forecasting, scenario planning, and prioritization to optimize the community and business impact of operational expenditures.
Tags & Categories