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Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. The Data Analyst role involves applying quantitative analysis to drive business growth, designing visualizations, conducting investigations with large data sets, partnering with various teams, and fostering a community of analysts.
Job Responsibility:
Apply expertise in quantitative and statistical analysis to formulate deep-level insights that help identify trends & opportunities to drive business growth
Design interconnected collections of high performance visualizations for clear narrative understanding and interactive exploration
Be a thought leader for data-informed initiatives and contribute to the team’s direction
Conduct in-depth investigations leveraging large and complex data sets
Partner with Data Science, Product, PM, Data Engineering and Software Engineering teams to solve problems at scale
Inform, influence, and execute new strategies and tactics using analysis and impact metrics
Apply emerging quantitative tools or techniques when they can enhance research conclusions
Determine success metrics that measure short and long-term progress for both goal and project performance
Foster a community of analysts within the organization by sharing best practices and mentoring
Build narrative around data quality for advertiser data and provide insights for better client identification opportunities
Handle relational and non-relational databases, data frames and/or Business Intelligence development, performing data transformations and manipulation
Design and develop data solutions that help product and business teams make data driven analytical decisions tailored to improve data management
Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data to answer exploratory and hypothesis-based questions
Create visual representations that efficiently deliver information and enable the discovery of insights from trends, outliers, and patterns in the data
Requirements:
Master's degree (or foreign degree equivalent) in Business Analytics, Engineering, or a related field
2 years of work experience in the job offered or in an analyst or computer-related occupation
2 years of experience in Data Lake/Hadoop platform implementation for data analytics projects
2 years of experience with relational databases (Oracle, Postgres, MySQL) and large-scale distributed systems (Hadoop, Spark)
2 years of experience with SQL and Python for data processing, analysis, and analytics
2 years of experience applying data architecture and data modeling techniques within the advertiser and marketing data domain
2 years of experience performing quantitative and statistical analysis using advanced methodologies (linear and logistic regression, forecasting models)