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Responsibilities
- Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products.
- Identify the opportunities most important for growth to remove barriers for product adoption, retention, engagement, and/or monetization.
- Partner with growthfocused engineering teams to execute on projects based on factors identified to accelerate the growth and adoption of Facebook’s products.
- Understand funnels, ecosystems, user behaviors, and long-term trends in the adoption of Facebook’s products to identify opportunities for step-changes and angle changes in growth.
- Define and analyze metrics that inform the success of products.
- Communicate the state of business, experiment results, and opportunities to product teams.
- Influence and inform product teams through presentation of data-based recommendations.
Minimum Qualifications
- Requires Bachelor’s degree (or foreign equivalent) in Business Analytics, Statistics, Economics, Mathematics, Mathematical Economics, Engineering, or related field, and one year of work experience in job offered or in a data analytics-related occupation
- Experience must include one year of experience in the following:
- Quantitative analysis
- Working collaboratively with product teams, such as product management, engineering, design, data science, or data engineering
- Manipulating data sets through statistical software (R, SAS, or Pivot Tables)
- Funnel/website optimization or outbound communication channels like email or push notifications
- SQL
- Product optimization or growth best practices
- Making analytical, data-driven decisions and communicating the results of analyses and
- Statistics, including hypothesis testing, product experimentation, regressions, and experimentation logic and biases
$194,726/year to $218,570/year + bonus + equity + benefits
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