Facebook App Looking For Learning Data Developer at Austin, TX Full Time

The Global Operations and Learning Organization (GOLO) is searching for a Data Developer. We are looking for people who share our passion for helping make Meta a safe place for people and businesses to connect across the world. The right candidate will be comfortable in a fast-moving organization, excited to collaborate, and focused on positively impacting the experience of a large-scale global workforce and the entire Facebook Community. They possess strong data management and manipulation skills, data visualization skills, and the ability to build strong partnerships to drive impact across the organization.

Learning Data Developer Responsibilities:
Build and maintain data infrastructure to provide optimal data for various quantitative roles

Strategize and establish plans for data governance to ensure high data quality and timely data provision for analytical work

Use analytical tools to drive demand forecasting, scenario planning, and project prioritization to inform decisions to increase business impact and reduce operations costs. Analyze data, conduct research, and synthesize feedback into plans to resolve database problems. Drive broad adoption and alignment of the team’s initiatives through strong cross-functional collaboration and understanding of the organization’s strategic data infra and analysis needs

Act as the go-to expert to advise and implement designs for data pipelines, data migration, connecting data platforms with a strong acumen about data accuracy and velocity

Partner with Operations, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities

Minimum Qualifications:
B.A. or B.S. degree with a quantitative focus in Economics, Computer Science, Information Systems, Math, Statistics, Operations Research, or equivalent training

Proficiency in querying and manipulating complex raw datasets for analysis using SQL and at least one scripting language (PHP, Python, Perl, etc.)

2+ years of experience with data visualization tools (e.g., Tableau, Looker)

Professional experience with reporting systems, data pipeline architecture and data modeling

Experience explaining technical concepts and analysis implications clearly to varied audiences and be able to translate business objectives into actionable analyses

Experience developing data pipelines via SQL and Python-based ETL framework

Experience with distributed computing (Hive/Hadoop)

Preferred Qualifications:
Advanced degree with a quantitative focus (Economics, Computer Science, Operations Research, Math, Statistics)

Experience thinking strategically, structurally solving product problems, and driving execution

Experience releasing code into production

Experience writing testable code

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected]