Senior data analyst

Cornerstone is seeking a highly analytical and detail-oriented Senior Data Analyst to accelerate analytic projects including strategic reporting, model design and serve as a key data steward to enable AI agent strategies. In this role, you will be essential to delivering data insights and inputs, directly supporting revenue growth and cross-functional Go-To-Market (GTM) strategies in sales, marketing, customer success, and engineering. You will lead efforts to ensure high-quality, well-governed datasets that improve revenue performance tracking and fuel AI agent learning.

In this role you will...

• Champion data exploration and experimentation using advanced techniques such as clustering, regression analysis, and time series modeling.

• Lead and scale data mining initiatives to uncover patterns, trends, and correlations across large, complex datasets.

• Design and build models to support projections, revenue expansion, churn analysis, and other strategic efforts.

• Collaborate with stakeholders to translate business problems into data-driven analytical approaches and clearly communicate results and recommendations.

• Monitor, analyze, and refine the feature store, ensuring data elements leveraged by dashboards and AI models are consistent, version-controlled, and trustworthy.

• Curate, clean, and optimize data inputs used for training and inference in artificial intelligence and machine learning workflows.

• Mentor junior analysts, fostering a culture of data stewardship and responsible AI enablement across the organization.

• Stay current with emerging tools, trends, and methodologies in analytics, data science, and AI.

You've got what it takes if you have...

• 5+ years of experience in a data analyst, data scientist, or data stewardship capacity, ideally in SaaS or enterprise software.

• Expert-level proficiency in SQL and experience querying large, distributed datasets.

• Strong hands-on experience with BI platforms (e.g., Tableau, Looker, Power BI).

• Expert-Level Excel skills and understanding of CRM object relationships including leads, accounts, opportunities, orders and quotes.

• Demonstrated ability to design, build, and validate statistical or predictive models using Python, R, or equivalent tools.

• Strong understanding of data quality management, data lineage, and data governance principles, with proven impact on AI/ML workflows.

• Solid understanding of key modeling techniques such as regression, classification, clustering, and time-series forecasting.

• Strong problem-solving skills with a track record of turning raw data into clear and compelling insights.

• Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences.

• Demonstrated commitment to valuing diversity and contributing to an inclusive working and learning environment

• Consideration for privacy and security obligations

Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, color, gender, age, sexual orientation, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at [email protected]