Senior Data Analyst

Cornerstone onDemand is seeking a Senior Data Analyst in Uptown, Marion County, US, to drive predictive analytics for customer retention and expansion within the Revenue Operations Analytics Center of Excellence.

Key Responsibilities

• Design and implement advanced analytical models to improve gross and net retention, churn mitigation, and renewal execution.
• Collaborate with cross‑functional GTM teams to translate data insights into actionable revenue strategies.
• Develop dashboards and visualizations that enhance forecast confidence and post‑sale performance monitoring.
• Lead data‑driven projects focused on expansion opportunities and revenue durability.
• Mentor junior analysts and promote best practices in data governance and statistical methodology.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Economics, or a related field.
• 5+ years of experience in advanced analytics, preferably within revenue operations or customer success.
• Proficiency in SQL, Python/R, and data visualization tools such as Tableau or Power BI.
• Strong understanding of churn analysis, retention metrics, and predictive modeling techniques.
• Excellent communication skills to convey complex insights to both technical and business audiences.

What We Offer

• Competitive salary of $93,942 per year.
• Opportunity to influence global revenue strategy within a leading talent management platform.
• Collaborative, innovative culture with continuous learning resources.

Frequently Asked Questions

What type of analytics will I be working on?

You will develop predictive models and dashboards that drive customer retention, churn mitigation, renewal execution, and expansion revenue.

What technical skills are required?

Strong proficiency in SQL, Python or R, and data visualization tools such as Tableau or Power BI is essential.

Is remote work possible for this position?

The role is based in Uptown, Marion County, but hybrid or remote arrangements may be discussed during the interview process.