Sales Strategy (Internship)

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge As a Sales Strategy Intern, you will support the team across the following areas: Sales Performance & KPI Analysis Assist in the preparation and maintenance of sales dashbowards (SFDC, Excel and PowerBI) tracking key performance indicators (KPIs) such as pipeline coverage, conversion rates, quota attainment, and productivity metrics. Analyze trends and variances in sales performance across regions, segments, and roles. Support ad‑hoc data analysis requests from Sales Strategy leadership and cross‑functional partners. Headcount (HC) Allocation & Capacity Planning Support HC allocation analysis across sales roles, geographies, and market segments. Assist in evaluating sales capacity models, ramp assumptions, and productivity benchmarks. Help prepare materials and analysis for HC planning discussions and quarterly business reviews. Forecasting & Planning Support Contribute to regular sales forecasting processes by validating data inputs, identifying risks and opportunities, and analyzing forecast accuracy. Support scenario modeling related to pipeline creation, bookings, and revenue outlook. Assist with documentation and continuous improvement of forecasting methodologies and assumptions.