Senior Data Analyst

Cornerstone is seeking a highly analytical and detail-oriented Senior Data Analyst (GTM) 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.

Preference to candidates able to work hybrid in our New York or Santa Monica, CA office.

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.

• 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.
• Deep experience with revenue and "Go to market" GTM metrics
• Demonstrated ability to design, build, and validate statistical or predictive models using Python, R, or equivalent tools.
• 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

• 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.