Senior Sales Compensation Analyst

Reposted 14 Days Ago
Be an Early Applicant
Bangalore, Bengaluru, Karnataka
In-Office
Senior level
Cloud • Analytics
We are AI-Powered Analytics company that lets everyone create personalized insights to drive decisions and take action.
The Role
As a Senior Sales Compensation Analyst, you will manage sales commissions, collaborate with cross-functional teams, and ensure accurate commission calculations and reporting.
Summary Generated by Built In

As a Sales Compensation Senior Analyst, you will report to the Director of Sales 
Compensation and join a dynamic, fast-paced team. This  role involves working cross-functionally with Finance, Sales, Sales  Operations, Accounting, Payroll, and HR teams to ensure the accuracy and timeliness of sales commissions, SPIFFs, and other variable incentives. You will be responsible for commission calculations, tracking bookings & crediting, managing monthly payroll accruals and managing system changes, supporting the day-to-day operations of the global sales  compensation program.

What You’ll Do:

  • Administer all aspects of commissions using Xactly or spreadsheets, including calculating and validating monthly commission payments based on Sales Compensation plan provisions.

  • Collaborate with Sales Operations and Deal Desk to ensure accurate and timely sales bookings data, meeting critical monthly commission payout deadlines.

  • Troubleshoot and resolve calculation or data errors within Xactly,  Salesforce and Workday.

  • Working with the Accounting team you will support commission accrual processes, including variance analysis between accruals and actual payouts.

  • Address Sales Compensation-related inquiries or issues in partnership with Sales Operations.

  • Create, validate, and audit monthly reports to ensure the accuracy and completeness of commission crediting and payout results.

  • Present insights to senior leadership and make recommendations to improve plan performance and alignment.

  • Build clear documentation and conduct training for sales teams on comp plans, KPIs, and payout mechanisms.

  • Serve as a go-to expert for questions and clarifications.

  • Payroll Accruals & Processing: Perform monthly sales compensation accruals and work closely with the Payroll and Finance teams to ensure accurate reporting and payouts.

  • Extract, transform, and analyze data from Salesforce and Xactly for 

  • compensation processing and audit support.

  • Ensure proper handoff of commission data for payroll processing and reconciliation.

What You Bring:

  • 5+ years of experience in sales compensation and analysis, month-end accrual and close processes, and reporting activities.

  • Experience using Xactly Incent platform, Salesforce, NetSuite and Workday.

  • Drive automation and improvements in incentive operations.

  • Self-starter with strong communication, customer service, and problem-solving skills.

  • Proven ability to multitask, prioritize, and meet deadlines in a fast-paced environment.

  • Experience in data analysis, modelling, and financial analysis.

  • Adaptability and ability to manage multiple responsibilities in a dynamic setting.

  • Deep knowledge and experience using Xactly Incent program and NetSuite

  • Experience with process improvements and implementing system enhancements in Sales Compensation.

  • Strong analytical skills with attention to detail and accuracy.

What makes ThoughtSpot a great place to work?

ThoughtSpot is the experience layer of the modern data stack, leading the industry with our AI-powered analytics and natural language search. We hire people with unique identities, backgrounds, and perspectives—this balance-for-the-better philosophy is key to our success. When paired with our culture of Selfless Excellence and our drive for continuous improvement (2% done), ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.

ThoughtSpot for All

Building a diverse and inclusive team isn't just the right thing to do for our people, it's the right thing to do for our business. We know we can’t solve complex data problems with a single perspective. It takes many voices, experiences, and areas of expertise to deliver the innovative solutions our customers need. At ThoughtSpot, we continually celebrate the diverse communities that individuals cultivate to empower every Spotter to bring their whole authentic self to work. We’re committed to being real and continuously learning when it comes to equality, equity, and creating space for underrepresented groups to thrive. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.

Top Skills

NetSuite
Salesforce
Workday
Xactly
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The Company
HQ: Moutain View, CA
1,000 Employees
Year Founded: 2012

What We Do

The world’s most innovative companies use AI-Powered Analytics from ThoughtSpot to empower every person in their organization with the ability to ask and answer data questions, create and interact with data-driven insights, and use these insights to make informed decisions. ThoughtSpot delivers a complete platform for the modern data stack spanning the entire spectrum of business intelligence needs, from ad hoc novel analysis with a code-first approach, to code-free self-service exploration and AI-driven monitoring powered by natural language. That’s why companies like T-Mobile, CVS, Pepsico, Daimler, Nasdaq, and Huel have turned to ThoughtSpot to transform their data driven cultures.

Why Work With Us

We’re on a mission to build a more fact-driven world. Spotters are a curious and data-driven bunch. We believe the world would be a better place if everyone had access to facts, and we enjoy building products and solving problems that make it easier for people to ask and answer questions with data.

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