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Sales Compensation Technical Analyst

San Jose, California, USA

About Zscaler

Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Here, impact in your role matters more than title and trust is built on results. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership and accountability. 

We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges and want to make a positive difference on a global scale, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.

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:

  • 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

What We’re Looking for (Minimum Qualifications)

  • 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

What Will Make You Stand Out (Preferred Qualifications)

  • 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

#LI-Remote #LI-AT4

Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.

Base Pay Range

$105,000 - $150,000 USD

At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

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

Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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