Staff Analyst, Sales Commissions

At Angi®, we’ve had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want.

Angi at a glance:

• A new homeowner turns to Angi every second
• Our network has 150,000+ skilled pros in 50+ service categories
• 150,000,000+ projects brought to Angi (and counting)

Why join Angi:

Angi® is defining the future of the home services industry, creating an environment where homeowners, service professionals and employees benefit from more jobs done well. 

For homeowners, our platform makes it easier than ever to find a skilled pro for repairs, renovations, and everything in between. For pros, we're a business partner who helps them find the work they want and grow their business. 

We believe home is the most important place on earth, and so we work hard for our homeowners and our pros — making a real impact on families, communities, and livelihoods.

Angi is an amazing place to call home. We can’t wait to welcome you.

About the role

We are seeking an experienced and data-driven Staff Analyst to join our team. This role will focus on tracking and optimizing the performance of our pro sales team by leveraging advanced analytics to drive strategic business decisions and develop, monitor, and adjust compensation and commission plans. You will work closely with sales executives, sales operations teams, and product managers to determine optimal staffing levels, report on and analyze the performance of our sales reps, and identify actions to optimize productivity and profitability. As a key contributor, you will also support priority initiatives and the launch of new tools to improve overall sales efficiency.

What you'll do

• Build and maintain dashboards and reporting to monitor the performance of Angi’s sales organization
• Review business, staffing, and turnover trends and develop forecasting models to determine optimal staffing and hiring levels across all of Angi’s sales teams on a monthly basis
• Design and implement sales commission plans that align with company goals, drive performance, and ensure competitiveness in the market
• Support the end-to-end sales compensation process, including plan documentation, communication, calculations, and payout accuracy
• Analyze sales performance data to evaluate the effectiveness of commission plans and recommend adjustments to optimize results.
• Ensure compliance with company policies, legal requirements, and industry standards in all sales compensation programs
• Conduct in-depth analysis of sales team performance metrics to identify trends, gaps, and opportunities for improvement
• Develop models to calculate profitability of sales rep activity and make recommendations about how to optimize that activity
• Work cross-functionally with sales, operations, product, and marketing partners to provide data-driven insights to support process and spending enhancements
• Build analytics plans to support A/B testing, evaluation, and launch of new sales strategies, tools, and processes (e.g., prospect scoring models, Salesforce features, etc.)
• Present findings and recommendations to senior leadership, translating complex data into actionable insights and contributing to overall business strategy and growth
• Proactively identify risks to sales team performance and propose mitigation strategies to leadership
• Ensure data integrity by collaborating with data engineering teams to maintain accurate, scalable data solutions
• Mentor junior analysts and assist in refining analytics processes, models, and reporting tools
• Stay current with trends in the home services industry, sales staffing function, and emerging data tools to keep our platform competitive

Who you are

• Bachelor's degree in Data Science, Economics, Statistics, Engineering, or a related field (Master's degree preferred)
• 8+ years of analytical experience in an e-commerce, marketplace, or home services-related field
• Strong proficiency in SQL as well as data analysis tools such as Python or R
• Expertise in data visualization tools such as Tableau, Power BI, or Looker
• Ability to build complex, but clear analytical models and forecasts in Excel and Google Sheets
• Experience developing and implementing sales and commission plans for a large sales organization
• Experience with headcount planning and sales organization support analytics preferred
• Proven ability to develop and apply predictive models to enhance sales performance
• Strong communication skills to present complex data to cross-functional te