Senior Analyst, Commercial Intelligence

This is a fully remote position, open to applicants in Tennessee.

📋 Description

• Provide analytical tools and reporting that yield actionable insights for the Commercial team's go-to-market strategy.

• Take ownership of the Commercial Intelligence roadmap, overseeing discovery, requirements gathering, data identification, acquisition, and delivery.

• Track key performance metrics and communicate performance outcomes effectively.

• Offer actionable insights to enhance bookings growth.

• Present sales and financial forecasting guidance utilizing statistical and data science techniques.

• Identify risks and opportunities, recommending data-driven strategies to meet business objectives.

• Assist in the design, modeling, and administration of the Commercial team's compensation framework.

• Collaborate with the SVP to transform structured and unstructured data into actionable information.

• Work with various departments across the organization to influence, support, and prioritize Commercial Intelligence initiatives.

• Aid executive leadership in preparing monthly and quarterly presentations for the Board of Directors, as well as handling ad hoc requests.

• Develop, test, and maintain AI-driven tools and automated workflows for report generation, data preparation, pipeline inspection, and deal analysis.

• Manage AI-powered solutions from concept to implementation.

⛳️ Requirements

• Bachelor's or Master's degree in business, finance, analytics, statistics, data science, or a similar field.

• 3-5 years of demonstrated experience in sales analytics or sales finance.

• Advanced Excel data modeling expertise.

• Experience with Power BI.

• Familiarity with deploying AI coding assistants and AI-driven dashboards, such as Claude Code.

• Experience utilizing Databricks.

• Proficiency in SQL and Python or R for analysis and modeling is preferred.

• Strong understanding of data science methodologies and statistical techniques, including regression analysis, time-series forecasting, probabilistic and scenario modeling, hypothesis testing, segmentation/clustering, and predictive modeling is preferred.

• Experience in the RCM healthcare industry is preferred.

• Background in private-equity-backed or high-growth companies.

• Experience in acquiring and leveraging publicly available domain data.

• A highly analytical mindset with the ability to independently navigate complex problems using data.

• Capability to create data-driven models simulating business impact, including sales forecasts and sales compensation models.

• Ability to identify strategic priorities and develop analytical use cases and solutions.

• Proven ability to use data and insights to drive improvements in commercial processes.

• Excellent written and verbal communication, interpersonal, and cross-functional collaboration skills.

• Strong influencing skills across all organizational levels.

• Comfort with ambiguity and shifting priorities in a fast-paced, matrixed, results-oriented, team-driven environment.

• Attention to detail and systematic problem-solving capabilities.

• High integrity, independence, and strong self-motivation.

• Curiosity and enthusiasm for applying AI to real-world business challenges.

🏝️ Benefits

• Support for professional growth and development.

• Access to tools, resources, and support for career advancement.

• Flexible, family-friendly work environment.

• Emphasis on work-life balance and a fun-focused culture.