Meta – Data Analyst, BPE – Austin, TX
Job title: Data Analyst, BPE Company: Meta Job description: Meta is seeking a Data Analyst to join the Business Products Engineering team supporting the Meta Business Group. The role will build scaled insights solutions for partners globally, leverage data to identify product opportunities and measure impact, and collaborate with multiple cross-functional partners across sales, marketing, planning and operations, product, engineering, and others. Our focus on data analysis, scalability and a robust infrastructure of back-end systems allows us to work effectively with our engineering and product teams to build proprietary tools and techniques to provide product support at scale and enforce the quality of all our advertising products. Successful candidates for this team have a bias toward action and enjoy finding patterns amid chaos, making quick decisions, and aren't afraid of being wrong. The perfect candidate will have a background in a quantitative or technical field, will have experience working with large data sets, and will have in-depth experience in data-driven decision making. You are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to drive the growth and success of a business. Data Analyst, BPE Responsibilities Develop scaled insights solutions to drive business performance, accelerate product success and unlock partner value Apply expertise in quantitative analysis, experimentation, data mining, and data visualization to see beyond the numbers and pull insights to help identify trends & opportunities to drive growth of our product & business, and measure impact Be a thought leader for data-informed initiatives and contribute to the team's direction overall 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 to support your positions
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 4+ years experience doing quantitative analysis 4+ years of SQL experience Experience with scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Experience with data visualization tools such as Tableau Experience with reporting systems and data pipeline architecture Communication experience in articulating issues to both technical and non-technical audiences Experience working collaboratively with cross-functional stakeholders and partners
Preferred Qualifications
Masters or Ph.D. Degree in a quantitative field Experience with experimental design and statistical modeling Self-starter, comfortable with ambiguity, experience initiating and driving projects with minimal oversight and guidance Proven track record of leveraging data to influence cross-functional stakeholders, partners and leadership to drive decisions Locations 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. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to . (Colorado only*) Estimated salary of 162 000 $US/year + bonus + equity + benefits
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