Principal Business Intelligence Analyst
Confirmed live in the last 24 hours
OneTrust
Compensation
$112,500 - $168,750/year
Job Description
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 the BI Analyst within the R&D Operations team, you will play a pivotal role in driving operational excellence and delivering impactful data insights to support our global Product Management and Engineering teams. You will leverage data to influence decision-making, lead analytics projects from end to end, and provide strategic insights to enhance our Product Management and Engineering processes. The ideal candidate thrives in a hands-on analytics environment, has a strong background in data analytics, experience with SaaS Product and/or Engineering, and is eager to design metrics, solve complex problems, and drive reporting excellence.
Your Mission
Data Analysis & Reporting
- Develop and maintain dashboards and analytical reports to track key Product and Engineering velocity, quality, reliability metrics, and provide actionable insights.
- Analyze Product and Engineering data to identify trends, challenges, and opportunities, supporting decision-making across multiple functions.
- Create predictive models and scenario analyses to improve product strategies and planning, and engineering performance.
Operational Support
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