About the role
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 Senior Principal Data Analyst at One Trust, you will play a strategic role in driving data-driven decision-making across the organization. While your impact may span multiple functions, you will work closely with the Product R&D team to ensure analytics efforts align with key business objectives. You’ll be responsible for leading data preparation and transformation processes, ensuring that our data is clean, accurate, and ready for analysis. Your expertise in developing advanced Power BI dashboards and your ability to perform in-depth data analysis will support various business operations and help us stay ahead in a fast-paced environment. We are seeking a highly analytical and results-oriented leader who excels in cross-functional collaboration, communicates with confidence, and leverages data to drive measurable business impact. Your Mission Develop and maintain advanced Power BI dashboards and reports that provide clear and actionable insights. Partner with business leaders in product, finance, marketing, and/or customer experience to uncover insights and identify opportunities. Conduct data preparation, transformation, and cleaning processes to ensure the integrity and readiness of data for analysis. Apply advanced statistical techniques, including causal inference methods, to analyze complex datasets and derive actionable insights. Ensure data accuracy and consistency across all reporting, maintaining high standards for data quality. Translate data findings into clear and actionable recommendations for stakeholders through reports, presentations, and interactive dashboards. Mentor and guide junior analysts, ensuring adherence to best practices in data analysis and visualization. You Are Bachelor’s Degree with a quantitative focus (Economics, Finance, Computer Science, Mathematics, etc.). 8+ years of experience using analytical and statistical methods to support and drive critical business outcomes. Demonstrated success in supporting and influencing business strategy from an analytics perspective. Advanced experience with SQL and Python for data analysis – strong need for product analytics experience in a B2B environment. Some Power BI experience is preferred. Strong quantitative, analytical, and problem-solving skills; must be very comfortable with data analysis and driving decision-making. Effective communicator who can break down technical concepts into business vernacular. A bias for action—willingness to build a prototype and improve based on learnings, without letting perfection be the enemy of progress. Natural curiosity to dive into details with a strong analytical mindset. Extra Awesome Product analytics experience in a SaaS industry using product telemetry data to drive insights into product improvements. Experience using back-end data from Jira, Anaplan, and Aha! Experience with ETL processes, especially utilizing DBT and Snowflake. Graduate Degree with a quantitative focus. For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as
