Business Operations Lead | San Francisco, CA

Detailed Information

  • Location: San Francisco, CA

test for false-positive rates, and build scoring systems to draw business insights. Work closely with data science and product analytics teams to develop user experiments or iterate on statistical models. Present analytical findings to relevant stakeholders and senior leadership.

Collaborate with product and marketplace operations teams to implement and operationalize solutions. Lead large cross-functional strategic initiatives that move company metrics in partnership with Sales, Product, Finance, Operations, Marketing, etc. Structure complex and ambiguous strategic problems. Identify issues, develop hypotheses, and execute in-depth analyses to translate data into impactful insights and

make recommendations to the leadership team based on findings. Enable the company to continue to be highly metrics-focused as the company scales by performing ad hoc analyses, conducting research, and building reports and KPI dashboards for real-time monitoring of performance.

Develop effective and scalable operational processes and fill operational gaps. Telecommuting Permitted. Minimum Requirements: Bachelors degree or foreign equivalent in Business, Economics, Mathematics, or closely related quantitative discipline and five (5) years of experience in the job offered or five (5) years of progressively responsible experience in the field of Market/Operations Research associate, Growth

Strategy associate, Sales Research Analyst or related occupation.

Special Skills:1. Experience with consulting, business operations, or business analytics.2. Experience executing on complex analyses; defining KPIs, size opportunity areas; and measuring and reporting on performance across the business.3. Experience with SQL.4. Experience working across multiple dimensions of a business (including sales, product, and marketing.5. Experience creating financial models to determine return on investment (ROI) and to forecast future financial performance using SQL and Microsoft Excel.6. Experience developing KPI dashboards for real-time monitoring of performance, investor relations.7.

Experience determining market sizing and pricing strategy through regression, timeseries, and factor analyses of large-scale datasets using Microsoft Excel and SQL. Any suitable combination of education, training and experience is acceptable. Salary: $176,000.00 - $264,000.00 per year. Submit resume with references to: Req. #L22-131803 at:

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