Staff Analyst at Angi®

Employment Type: [Not Specified] Location Type: [Not Specified] Salary: [Not Specified]

Angi®: Connecting Homeowners and Pros

At Angi®, our mission for 30 years has been simple: get jobs done well. We achieve this by connecting homeowners with reliable, skilled professionals and by helping those professionals find the jobs they want.

Angi at a glance:

• A new homeowner turns to Angi every second.
• Our network boasts 150,000+ skilled pros across 50+ service categories.
• Over 150,000,000 projects have been brought to Angi, and this number continues to grow.

Why Join Angi?

Angi® is at the forefront of defining the future of the home services industry. We foster an environment where homeowners, service professionals, and employees all benefit from more jobs being done well.

• For Homeowners: Our platform simplifies the process of finding skilled professionals for repairs, renovations, and all home-related needs.
• For Pros: We serve as a business partner, helping them secure desired work and grow their businesses.

We believe home is the most important place on earth, and we are dedicated to making a real impact on families, communities, and livelihoods through our work for both homeowners and pros. Angi is an exceptional place to build your career, and we look forward to welcoming you.

About the Role

We are seeking an experienced and data-driven Staff Analyst to join our team. This role is crucial for tracking and optimizing the performance of our pro sales team. You will leverage advanced analytics to drive strategic business decisions and to develop, monitor, and adjust compensation and commission plans. You will collaborate closely with sales executives, sales operations teams, and product managers to:

• Determine optimal staffing levels.
• Report on and analyze sales representative performance.
• Identify actions to optimize productivity and profitability.

As a key contributor, you will also support priority initiatives and the launch of new tools designed to enhance overall sales efficiency.

What You'll Do

• Reporting & Dashboards: Build and maintain dashboards and reports to monitor the performance of Angi’s sales organization.
• Forecasting & Staffing: Review business, staffing, and turnover trends, and develop forecasting models to determine optimal staffing and hiring levels across all Angi sales teams on a monthly basis.
• Sales Compensation:
  • Design and implement sales commission plans that align with company goals, drive performance, and ensure market competitiveness.
  • Support the end-to-end sales compensation process, including plan documentation, communication, calculations, and payout accuracy.
  • Analyze sales performance data to evaluate commission plan effectiveness and recommend adjustments for optimization.
  • Ensure compliance with company policies, legal requirements, and industry standards for all sales compensation programs.
• Performance Analysis: Conduct in-depth analysis of sales team performance metrics to identify trends, gaps, and opportunities for improvement.
• Profitability Modeling: Develop models to calculate the profitability of sales rep activities and provide recommendations for optimization.
• Cross-Functional Collaboration: Work with sales, operations, product, and marketing partners to provide data-driven insights supporting process and spending enhancements.
• Sales Strategy Support: 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).
• Leadership Communication: Present findings and recommendations to senior leadership, translating complex data into actionable insights to contribute to overall business strategy and growth.
• Risk Mitigation: Proactively identify risks to sales team performance and propose mitigation strategies to leadership.
• Data Integrity: Ensure data integrity by collaborating with data engineering teams to maintain accurate, scalable data solutions.
• Mentorship: Mentor junior analysts and assist in refining analytics processes, models, and reporting tools.
• Industry & Tool Awareness: Stay current with trends in the home services industry, sales staffing functions, and emerging data tools to maintain platform competitiveness.

Who You Are

• Education: Bachelor's degree in Data Science, Economics, Statistics, Engineering, or a related field. A Master's degree is preferred.
• Experience: 8+ years of analytical experience in an e-commerce environment.