Sales Compensation Technical Analyst

ZscalerSan Jose, CA
42dHybrid

About The Position

Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our general and administrative teams help to support and scale our great company. Whether striving to grow our workforce, nurture an amazing culture and work environment, support our financial and legal operations, or maintain our global infrastructure, the G&A team provides a strong foundation for growth. Put your passion, drive, and expertise to work with the world’s cloud security leader. We’re looking for an experienced Sales Compensation Technical Analyst to join our Sales Compensation team. Reporting to the Director of Sales Compensation, you'll be based in San Jose, CA (with in-office work Tuesday-Thursday) or remotely across the US and be responsible for:

Requirements

  • 5+ years of experience in analytics/dashboarding within Finance, Sales Ops, or a similar analytical role handling sales and compensation data
  • Familiarity with Xactly (Incent and/or Connect/data) and integrations with Salesforce
  • Advanced proficiency in SQL and data modeling; strong experience with Snowflake (or similar cloud DW), Tableau, and Google Sheets
  • Hands-on experience working with sales and sales compensation datasets (attainment, quotas, bookings/billings, credits)
  • Proven ability to manage multiple priorities in a fast-paced environment and work independently with minimal direction

Nice To Haves

  • Experience building or maintaining ETL/ELT pipelines (e.g., Xactly Connect jobs, cloud data pipelines)
  • Knowledge of SaaS sales motions, quota setting, territories/crediting, and comp plan mechanics
  • Basic scripting (e.g., Python) for data automation and QA
  • Experience with data governance and documentation standards

Responsibilities

  • Building and maintaining robust data models for compensation and sales analysis using SQL, Snowflake, Tableau, and Google Sheets
  • Developing metrics, dashboards, and analytics to assess plan effectiveness, quota attainment, and SPIFF performance; providing recommendations into the semi-annual Sales Compensation planning cycle
  • Creating and automating recurring month-end and quarter-end reporting, including attainment, leaderboards, and sales/compensation KPIs
  • Owning and maintaining automated data flows into and out of Xactly (Incent/Connect), Salesforce, and Workato; troubleshooting and resolving data issues end-to-end
  • Partnering with IT and Sales Operations to define and improve the workflow of commissionable data from Salesforce to Xactly to ensure accurate and timely calculations and eliminate manual processes

Benefits

  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks, and more!

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service