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We are seeking a **Principal BI & Advanced Analytics Engineer** to help us unlock the next frontier of insight-driven decision making. The ideal candidate combines a passion for solving business problems with data, a deep understanding of **Sales, Marketing, Customer Success, and Product domains** , and hands-on expertise in **modern BI and AI/ML technologies** .

This role goes beyond traditional BI—it includes **developing predictive models, uncovering insights with machine learning** , and driving adoption of **AI-powered decision making** . You’ll use tools like **Python, Snowflake Cortex, and AWS SageMaker** , alongside **SQL, Snowflake, and Tableau** , to deliver scalable solutions that influence strategy and execution across the enterprise.

In this role, you will...

+ **Lead with data evangelism** across business functions—Sales, Marketing, Revenue Operations, Customer Success & Support—bringing clarity, insights, and action through storytelling.

+ Design and build **advanced dashboards and analytics pipelines** , leveraging AI/ML to solve high-impact business problems.

+ Use **Python, R, and AI/ML frameworks** to build models such as churn prediction, lead scoring, sentiment analysis, and cross-sell/upsell recommendations.

+ Leverage **Snowflake Cortex** for scalable in-database machine learning and **AWS SageMaker** for building and deploying custom ML models.

+ Drive **AI/ML experimentation** , including feature engineering, model evaluation, and production deployment, in collaboration with data science and engineering teams.

+ Write efficient, scalable **SQL** to analyze and transform large datasets; build **data marts** in Snowflake to support analytics and machine learning use cases.

+ Mentor junior team members and review work for quality, scalability, and performance.

+ Translate business needs into clear requirements and data products that improve decision-making.

+ Own data quality and governance for your domain; troubleshoot and resolve issues with urgency.

+ Educate business users on how to self-serve using modern data platforms and tools.

You have what it takes if you have...

+ Excellent communication skills and experience working cross-functionally with business and IT teams.

+ Proven leadership in **BI, Advanced Analytics, and ML model deployment** in an enterprise setting.

+ 10+ years of experience in data analysis and visualization using **SQL and Tableau** with a strong focus on UI/UX.

+ 5+ years of hands-on **Advanced Analytics/Data Science** experience using **Python and/or R** .

+ 2+ years of experience working with **Snowflake** , including **Snowflake Cortex or similar ML services** .

+ Familiarity with **AWS SageMaker** , **ML Ops pipelines** , and deploying ML models at scale.

+ Deep understanding of **data warehousing concepts** and experience building trusted datasets and data products.

+ Strong domain knowledge in **CRM and MarTech applications** (Salesforce, Marketo, Gainsight).

+ Bachelor's degree in Computer Science, Data Science, or equivalent (MBA a plus).

Extra dose of awesome if you have...

+ Experience with **dbt** , **Informatica** , or **Matillion** for data transformation and orchestration.

+ Tableau Desktop Certified Professional.

+ Experience with **predictive analytics in go-to-market functions** (e.g., campaign attribution, customer lifetime value modeling, lead prioritization).

+ Familiarity with **LLMs, vector databases** , or emerging **GenAI** capabilities for enterprise use cases.

\#LI-hybrid

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]