• Piloted creation of analytics products, generating additional revenue streams and driving six figures in annual recurring revenue within 18 months of launch. Oversee production of related materials for subscribers.• Facilitate conversations with clients to discuss their talent-acquisition KPIs, compare those against benchmarks, and provide recommendations to improve their recruiting process.• Supervise analytics efforts behind the iCIMS Insights Program.

• Instructed direct reports on fundamentals and best practices for working in SQL, R, and Tableau.• Led team of analysts to produce labor-market insights for internal stakeholders & C-suite. Provided presentation materials for executives’ interviews with major news outlets and customer webinars.• Collaborated with Marketing and PR teams to produce content for thought-leadership media engagements. Results were cited in publications such as The Wall Street Journal, Forbes, and The New York Times.

• Supplied custom analyses instrumental in closing multi-million-dollar contracts with Fortune 500 companies.• Used proprietary database to identify applicant trends and industry-specific benchmarks. Communicated findings via data visualizations and written correspondence to both internal and external stakeholders.• Developed dashboards for executives, enabling live monitoring of customer-usage trends and KPIs.

• Deliver analysis to company leadership to inform business decisions• Create data-driven content for external public relations and thought leadership efforts• Provide benchmarking and product telemetry data for both internal and external audiences• Identify and act on opportunities to cleanse and normalize company system data

• Analyze data from a variety of sources, including external research, labor market data, and internal data sets from our Recruitment platform.• Demonstrate critical thinking to identify the story in context using multiple data sets and present results.• Investigate data quality issues, root causes and remedies to be implemented by the data scientists and engineers.• Work directly with business teams to understand requirements and communicate results.• Identify data mapping and enrichment requirements.• Produce and adapt data visualizations in response to business requests for internal use.• Adapt existing analyses and models in response to business requests.