The Portal team brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to ship products at scale. In particular, seemingly impossible products that define new categories and that advance Facebook's mission of connecting the world.
The Portal Quality Assurance team is responsible for ensuring the launch of high-quality products and experiences, through system test architecture, building automation and infrastructure, AI data collection, and driving beta testing.
The team seeks a Data Analyst who loves crafting, managing, and analyzing surveys, digging into data, building analytics capability, and communicating product beta testing recommendations to various audiences. You have the ability to balance multiple priorities, deep analytical rigor, and excellent interpersonal skills that can be tailored to cross-functional audiences at every level.
Be a leading authority on survey tooling, design, methodology, and analysis: work with partners to design surveys that are statistically sound and built to appropriately measure desired constructs. Use expertise in survey research to figure out the right audiences, sampling strategies, triggering events, and cadence
Analyze survey data to identify trends, conduct root cause analysis, and find opportunities to improve Portal products
Work with stakeholders to make recommendations and build action plans based on findings
Prepare documents and materials for leadership meetings, reviewing results and presenting strategic product recommendations.
5+ years of data analytics in consumer devices or equivalent experience in user research and survey design and analytics
Demonstrated primary market research know how, including designing studies, crafting surveys, analyzing data and creating insightful reports followed by action planning
Program and project management expertise
Experience with different survey tools (e.g., Qualtrics, SurveyMonkey)
Advanced skills with Microsoft Excel manipulating very large datasets is required
Comfort with ambiguity, uncertainty, and a dynamic program landscape
Willingness to shift from high-level critical thinking to stepping in and helping to drive implementation alongside functional teams
Effective self-organization skills and ability to handle prioritize effectively