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Staff Analyst – Sales Commissions
| Company | Angi |
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| Location | Massachusetts, USA |
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| Salary | $150000 – $200000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 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
- Proven ability to develop and apply predictive models to enhance sales performance
- Strong communication skills to present complex data to cross-functional teams and non-technical stakeholders
- Ability to manage multiple projects independently in a fast-paced environment
- Experience in coaching or mentoring junior team members
Responsibilities
- 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
Preferred Qualifications
- Experience with headcount planning and sales organization support analytics preferred
