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.
Data Analyst, Developer Operations Responsibilities
- Monitor Analytics solution for Re-review and Data Protection Assessment workflows.
- Re-review and Data Protection Assessment for Developer Operations critical workflow using various systems and tooling.
- Utilize robust data pipeline processes to consolidate, cleanse and store data from various sources.
- to provide a holistic source of truth.
- Build reporting and analytics on top of a consolidated data foundation, through business intelligence tools like Tableau and Uni dash, to enable insights and visibility on daily operations and guide leadership indecision making.
- Utilizing analytics to improve operation quality to deliver best-in-class developer experience and mitigating risk on the Developer Platform.
- Develop sampling approaches in the QA processes, consistent metrics definition and measurement over all of the workflow, and comprehensive reporting suites to unveil insights for actions.
- Utilize operation efficiency analytics to aide in the success of Developer Operations.
- In-depth analytics to identify opportunities in processes and systems, and develop improvement recommendations through analytics and data insights.
- Combine business acumen and technical skills to unveil risks and opportunities, and effective communications with cross-functional partners to drive alignments and implementations.
- Build scalable reporting and analytics solutions for Business Platform Operations and Developer Operations.
- Execute, measure progress, and share results of the key work being done.
- Drive the vision for data across Developer Operations and look to leverage synergy across our parent org (Global Operations).
- Utilize deep product and industry knowledge while serving as a strong cross-functional leader.
- Leverage areas of expertise to improve the effectiveness and quality of Meta's support of developers and users.
- Build cross functional relationships with Operations leaders, Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
- Telecommuting from anywhere in the U.S. allowed.
Minimum Qualifications
- Employer will accept a Master’s(or foreign equivalent) degree in Data Analytics, Computer Science, Computer Engineering, Electrical Engineering, or related field and 2 years of work experience in job offered or in a computer-related occupation
- Experience must include 24 months of experience in the following:
- Performing quantitative analysis including data mining on highly complex data sets
- Data querying language: SQL
- Scripting language: Python
- ETL (Extract, Transform, Load) processes
- Relational databases
- Scientific computing and analysis packages including NumPy, SciPy, Pandas, Scikit-learn, dplyr, and PyCaret
- Statistics and experimentation: Applied A/B testing, time series analysis, stochastic modeling, and survival analysis, in an industry setting
- Machine learning and quantitative analysis techniques: Applied Regression, Classification, Clustering, Decision Tree, Random Forest, Neural Network, pattern recognition, descriptive, inferential statistics, and Support Vector Machine, to business problems
- Data and information visualization technique including Tableau, Unidash, and QlikView
- Communicating the results of analyses to product teams, engineer teams, and leadership teams to influence strategy
