Senior Analyst - Sales Performance & Compensation Optimization
Job Description
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About the Role
We are seeking an experienced and data-driven Senior Analyst to join our team as a senior individual contributor. 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 Angiâs sales organization
- Review business, staffing, and turnover trends and develop forecasting models to determine optimal staffing and hiring levels across Angiâs sales teams
- Design and implement sales commission plans that align with company goals, drive performance, and ensure competitiveness in the market
- Analyze sales performance and compensation data to evaluate effectiveness, identify trends and gaps, and recommend adjustments to optimize results
- Develop models to calculate the profitability of sales rep activity and make recommendations to optimize sales performance
- Build analytics plans to support A/B testing, evaluation, and launch of new sales strategies, tools, and processes
- Present findings and recommendations to senior leadership, translating complex data into actionable insights that support business strategy and growth
Who you are
- A Bachelor's degree in Data Science, Economics, Statistics, Engineering, or a related field (Master's degree preferred)
- 6+ 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 analyzing and making recommendations to sales and commission plans for a large sales organization
- Experience leveraging AI tools (Claude, ChatGPT, Gemini, Cortex Code) for automation and daily workflow efficiency
- 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 teams and non-technical stakeholders
- Ability to manage multiple projects independently in a fast-paced environment
- Experience in coaching or mentoring junior team members
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Angi (operating under angi.com, legally Angi Inc., formerly ANGI Homeservices Inc.) is the premier, enterprise-grade digital home services marketplace, local business directory pioneer, and consumer-to-pro matching powerhouse engineered to act as the definitive, high-velocity lead generation, project scoping, and upfront fulfillment layer for homeowners and millions of independent residential service professionals globally. Founded initially in 1995 as Angie List by legendary entrepreneurs Angie Hicks and William S. Oesterle, the platform underwent a category-defining structural evolution in 2017 when internet conglomerate IAC acquired the asset and merged it with rival platform HomeAdvisor to create a publicly traded digital marketplace behemoth. Moving far beyond traditional, passive printed local directories or unvetted community bulletin boards, Angi natively unifies instant online appointment booking engines, transparent pre-priced service configurations, programmatic contractor background screenings, and full-scale contractor business management suites (including Angi Leads and Angi Services for Pros) into a single high-availability transactional ecosystem. Processing more than 30 million residential service requests annually and maintaining an active nationwide digital footprint of over 200,000 highly rated service professionals across 500 distinct home improvement categoriesâspanning high-concurrency trades like plumbing, electrical engineering, roofing, and full-scale kitchen remodelingâthe infrastructure commands a dominant market share in the consumer services arena. Currently generating over $1 billion in annual trailing revenue, the public entity trades on the NASDAQ exchange under the ticker symbol ANGI, backed by corporate oversight from IAC. Under the hood, its technology core utilizes sophisticated automated matching algorithms, deep geo-spatial routing mechanics, and localized demand-generation logic built to analyze high-volume neighborhood review data and match consumer queries with localized professional capacity without losing operational velocity. What sets Angi apart is its uncompromising dedication to replacing fragmented, opaque local contractor matching with absolute pricing predictability, verified review transparency, and home improvement velocity; by bridging the gap between performance-intensive marketplace tech stacks and the immediate, everyday property management needs of over 150 million historical users, the company remains the definitive cornerstone of modern algorithmic home tech infrastructure and worldwide digital marketplace transformation.
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