Principal Business Intelligence Analyst

OneTrust•Atlanta, GA

60d•Hybrid

About The Position

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.

Requirements

Bachelor's degree in Business Intelligence, Data Analytics, or a related field.
4-6+ years in Business Intelligence, Data Analytics, or a related analytics role.
Demonstrated ability to analyze large datasets and deliver clear, actionable insights.
Experience handling sensitive and confidential information with discretion.
Proficiency in SQL for data extraction from data warehouses and performing data transformations.
Proficiency in utilizing Power BI to develop data models and dashboards.
Familiar with modern SaaS product development processes
Analytical and Data-Driven: You have a strong aptitude for interpreting complex data and translating it into actionable insights.
Highly Organized: You thrive in fast-paced environments, managing multiple priorities with precision and attention to detail.
Tech-Savvy: Proficient in Microsoft Power BI and advanced Excel
A Collaborative Problem Solver: You enjoy working with cross-functional teams to address challenges and drive meaningful improvements.
Change-Oriented: Comfortable navigating ambiguity and leading initiatives that challenge the status quo.

Nice To Haves

experience with Snowflake is a plus.

Responsibilities

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.
Lead end-to-end execution of Product and Engineering analytics projects, from scoping requirements to delivering impactful results.
Develop and implement key performance indicators (KPIs) and metrics to measure and improve Product and Engineering effectiveness.
Build, maintain, and deliver high-quality dashboards and reports that provide clear visibility into R&D performance.
Analyze complex data sets to identify trends, solve problems, and uncover opportunities.
Partner with Product and Engineering Operations, Strategy, HR, Finance, and other business functions to align R&D operations with broader organizational objectives.
Provide ad-hoc operational and analytical support to Product and Engineering leaders as needed, ensuring smooth daily operations.
Evaluate, implement, and optimize analytics tools to enhance reporting capabilities and streamline R&D operations.