Business Analyst

As a Business Analyst in the Reality Labs Sales Analytics team, you will lead the development of reporting, and insights to amplify the performance of the Sales team. Projects you own may relate to sales cycle optimization, lead prioritization, forecasting, or a variety of other domains supporting sales teams. You'll get to dive deep into the Meta Reality Lab product funnel in order to optimize sales and customer engagement.

Business Analyst Responsibilities:

• Provide business requirements and collaborate with internal teams on data capture strategy that will support accurate reporting and insights on sales pattern and consumer behavior
• Define key sales performance metrics
• Create reports and self-service dashboards to provide ongoing insight to business stakeholders, support sales leadership in making effective, analytically driven, and strategic decisions
• Perform ad-hoc and in-depth analyses and then reporting/presenting insights
• Drive initiatives to improve reporting capabilities
• Explore new data sources to add signals to existing reporting
• Automate reporting via SQL and Python based ETL framework

Minimum Qualifications:

• Experience explaining technical concepts and analysis implications clearly to varied audiences and translating business objectives into actionable analyses
• BS Degree in Business, Economics, Statistics, Mathematics, Applied Mathematics, Finance and other quantitative areas
• Experience with visualizations and dashboards
• 3+ years experience in sales/business reporting/analytics
• Experience working independently and as a member of a cross functional team
• Experience in querying and manipulating technical concepts and analysis implications clearly to varied audiences and to translate business objectives into actionable analyses

Preferred Qualifications:

• 1+ years of experience in the consumer electronics industry
• MS Degree in Business, Economics, Statistics, Mathematics, Applied Mathematics, Finance and other quantitative areas
• Experience using Python for data manipulation, ETL
• Experience with data modeling techniques, such as classification, clustering, linear regression, time series, etc.