Senior Partner Sales Operations Analyst

Zendesk • San Francisco, CA

4d • $92,000 - $138,000

About The Position

The Senior Partner Sales Operations Analyst is the technical and analytical engine for the Zendesk Partner business. This role is expected to drive the integrity, automation, and measurement of critical partner processes. This means you will master and maintain complex workflows and use your deep data and technological expertise to provide strategic analytics that justify the direction and investment of our partner programs. You are the go-to technical resource supporting the operational needs of Global Partner Operations and the leadership team it supports. Are you a highly analytical operator with a deep understanding of Partner ecosystems in SaaS environments? Do you excel at leveraging data and technical tools to manage complex sales processes, compensation logic, and operational cadences? If you are ready to be the technical engine and analytical voice supporting the Partner business strategy and operations, this high-impact role is for you. At Zendesk, Partners are a critical lever for new business growth. As we scale, we require dedicated operational expertise to maintain and evolve our core processes, data infrastructure, and strategic reporting. As a Partner Sales Operations Analyst , you will serve as the operational expert and analytical partner to the Partner Operations and Strategy leadership. You will own the health and integrity of critical data, processes, and systems that drive partner compensation, attribution, and performance measurement. This is a technical Individual Contributor role, requiring exceptional and innovative approaches to data manipulation and process development and execution. This role is not a simple data analyst, you will not be locked away in front of Snowflake all day, you will also be at the forefront of partner transformation, responsible for supporting the other members of the global partner operations teams in the ongoing transformation workstreams of our partner ecosystem.

Requirements

• Dedicated Tenure: 5+ years of experience in Sales Operations, Partner/Channel Operations, or GTM Strategy, ideally within a high-growth SaaS or subscription business.
• Technical Problem-Solver: A motivated self-starter and numerate natural problem solver with an "off-the-scale" passion for stabilizing complex, non-standard systems (e.g., AppScript/Workato workflows) and ensuring data integrity.
• Curiosity for AI & Innovation: A demonstrable curiosity for Artificial Intelligence (AI) and a passion for solving complex operational problems by experimenting with tools like Gemini, ChatGPT, Claude, and other large language models (LLMs) to drive workflow efficiency.
• Channel Ecosystem Expertise: Demonstrable experience and knowledge of the Partner/Channel ecosystem, including the operational differences between Referral, Reseller, and ISV models.
• Entrepreneurial Ownership: Highly autonomous and entrepreneurial in approach, with a proven ability to take hands-on ownership of critical operational processes and drive them to completion in a fast-paced environment.
• Project Juggler: Able to juggle multiple complex tasks concurrently, working on large data migration projects while managing quick-fire, tactical support initiatives (e.g., owning the partner forecast, compensation split process).
• Advanced Data Proficiency: Significant hands-on experience using SQL to query, manipulate, and structure data, specifically within a Snowflake environment.
• System Mastery: Proven experience with Salesforce (SFDC) and a working knowledge of CPQ rules, particularly as they relate to partner discounting and revenue attribution.
• Automation & Scripting: Experience with automation tools such as Workato and/or scripting languages like Google Apps Script or Python to build and maintain operational workflows and data connectors.
• Visualization & BI: High proficiency in Tableau and/or direct, hands-on experience with Looker, with the ability to build scalable, production-ready dashboards for executive consumption.
• Analytical Rigor: A background in applying analytical rigor to strategic business questions, including performing impact studies, time-series analysis, and using telemetry to validate strategic initiatives.
• Team-First Mindset: Ability to demonstrate a team-first attitude; collaborating effectively with a matrixed global team that includes Sales Ops, Partner Strategy, Finance, and Engineering.

Nice To Haves

• Partner Systems Awareness: Functional knowledge of Partner Relationship Management (PRM) tools like Impartner and/or Channel Incentives Management (CIM) tools like Channel Scaler is a definite strong advantage.

Responsibilities

• Data and System Integrity: Ensure the accuracy of partner data, including the core partner tables (currently in DBT (Data Build Tool). Manage the data flow from various sources (Snowflake, Salesforce) into operational tools (Google Sheets via Coefficient) that drive critical operations and reporting.
• Operational Process Execution & Handoff: Own and execute critical weekly, monthly, and quarterly processes, including maintaining and developing the Financial forecasting models, Pacing reporting, and splits and compensation deadlines
• Automation and Workflow Maintenance: Maintain existing automation flows, including the Workato recipe for batch uploads to Salesforce and auto-notifications (driven by Google Sheets/AppScript/Workato) sent to partner sales executives regarding deal changes and closures.
• Analytical Reporting & Dashboarding: Lead the design, development, and maintenance of key reports and dashboards. Transition existing reporting to a more stable, scalable platform, utilizing Looker or Tableau for cleaner analytics.
• Strategy Enablement & Analytical Rigor: Support Partner Strategy by performing analytical studies to justify program strategy, measure expected impact, and provide analytical rigor (e.g., time series studies, regression analysis) on partner initiatives.
• Cross-Functional Data Partnership: Collaborate with GTM Operations, RevOps, and the broader Sales Insights team to ensure partner data and metrics are accurately integrated and understood across the business.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed