Senior Analyst, Sales Compensation

Comcast Business; Philadelphia (Philadelphia County); On-site; USD 85,000 - 120,000; Full time

Job summary

A leading telecommunications company is seeking a skilled Senior Analyst, Sales Compensation in Philadelphia. This role focuses on designing compensation plans that drive performance and align with company strategy. The ideal candidate will showcase expertise in analytical tools, a proven ability to turn data into actionable insights, and strong communication skills. This position is essential in supporting growth and requires collaboration with sales teams.

Qualifications

• Advanced proficiency in analytical tools and ability to build scalable models.
• Experience turning complex data sets into clear insights.
• Strong problem-solving skills with independent operation.

Responsibilities

• Design effective, market-aligned sales compensation plans.
• Develop analytical models for compensation scenarios and impact.
• Evaluate incentive effectiveness and simplify plan structures.

Skills

Analytical tools (Excel, SQL, BI platforms)

Data visualization

Problem-solving

Communication skills

Detail-oriented

Education

Bachelor's Degree

Tools

Excel

SQL

Statistical tools

BI platforms

Job description

Job Summary

We are seeking a skilled Senior Analyst, Sales Compensation to join our Sales Compensation Strategy & Design team. This role will help develop compensation programs that drive seller performance, align to company strategy, and support scalable growth. The ideal candidate will demonstrate strong analytical and critical thinking skills, an understanding of sales compensation design principles, and an eagerness to contribute, learn, and develop in a dynamic environment.

Responsibilities

• Design simple, effective, and market aligned sales compensation plans including defining performance measures, calculation mechanics, payout curves, and quotas.
• Develop accurate, scalable analytical models to evaluate compensation design scenarios, conduct sensitivity analysis, forecast financial impact, and identify areas of risk.
• Evaluate incentive effectiveness, identifying whether plans drive intended behaviors and outcomes.
• Identify opportunities to simplify and optimize plan structures considering job content, sales strategy, and sales motions.
• Execute assigned deliverables with a high degree of accuracy and timeliness; clearly communicate risks, blockers, or deadline challenges.
• Translate complex data stories into clear, compelling visualizations that support leadership decision-making.
• Serve as a functional SME on sales channels—understanding channel nuances, data structures, and how compensation mechanics tie to performance and payout.
• Build models and analytical tools to support plan design recommendations.
• Support change management by developing presentation materials, FAQs, and training content for new or updated plans.
• Leverage industry benchmarks, market data, and best practices to inform compensation strategy and plan competitiveness.
• Stay current with sales compensation trends, best practices, and industry trends relevant to our organizations.

Qualifications

Required:

• Advanced proficiency in analytical tools (Excel, SQL, BI platforms, statistical tools) and ability to build accurate, scalable models.
• Demonstrated experience turning complex data sets into clear stories, insights, and visual outputs.
• Strong problem-solving and critical thinking skills with the ability to operate independently.
• Excellent communication skills, including the ability to simplify complex issues for executive audiences.
• Detail oriented with a proven track record of execution accuracy and meeting deadlines.
• Understanding of incentive compensation concepts, performance metrics, and sales commission operations.

Preferred:

• Experience in sales compensation design, sales operations, revenue operations, or a related analytics discipline.
• Experience in consulting or within a centralized Sales Compensation or Strategy CoE.
• Intermediate knowledge of statistical concepts and application to modeling techniques such as Monte Carlo simulations.
• Basic knowledge of broad-based compensation concepts that are relevant to sales compensation, such as total target compensation and pay mix.
• Experience supporting complex or matrixed organizations.
• Exposure to predictive analytics, automation tools, or advanced data processing frameworks.
• Relevant certification(s) and/or training (e.g., World at Work CSCP).

Additional Information

• Education: Bachelor's Degree (preferred but not mandatory).
• Relevant Work Experience: 5-7 Years.

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.