Partner Operations Analyst

About Workato

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration h enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business.

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Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

• Business Insider named us an "enterprise startup to bet your career on"
• Forbes  Cloud 100 recognized us as one of the top 100 private cloud companies in the world
• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
• Quartz ranked us the #1 best company for remote workers

We re looking for a Partner Operations Analyst to join our Partner Operations team. This role will own data infrastructure, reporting, and analytics that power partner performance visibility, deal tracking, and enablement across our partner ecosystem. This is a highly analytical, data-engineering-adjacent role — you ll be building and maintaining the pipelines, dashboards, and data models that partner leadership and cross-functional stakeholders rely on daily.

In this role, you will also be responsible for:

• Design, build, and maintain Sigma dashboards for partner performance, deal pipeline, tier compliance, and payout tracking
• Own data modeling and querying against Snowflake to support partner analytics, attribution, and reporting needs
• Build and maintain data pipelines connecting Salesforce, PRM (Allbound), and Snowflake to ensure clean, consistent, and timely partner data
• Manage and maintain the partner portal/PRM platform — user provisioning, content updates, tier/permission logic, and adoption tracking
• Monitor partner health metrics, tier status, and compliance; flag anomalies and data quality issues proactively
• Manage partner deal/referral pipeline data integrity — ensure CRM records are accurate, deduplicated, and properly attributed
• Partner with BT/Data Engineering on schema design, ETL improvements, and automation of recurring reporting workflows
• Build and maintain Workato recipes/automations to reduce manual reporting and data-reconciliation work
• Document data definitions, metrics logic, and reporting processes for the broader Partner Ops function
• Support ad hoc data requests and deep-dive analyses for partner leadership and executive reporting

• 3-5 years of experience in partner operations, revenue operations, sales operations, or a data/analytics role within a SaaS environment.
• Strong SQL skills and hands-on experience with Snowflake (or similar cloud data warehouse)
• Experience building dashboards/reports in Sigma (or comparable BI tools - Tableau, Looker, Power BI)
• Familiarity with Salesforce data model; hands-on experience managing a partner portal/PRM platform (Allbound or similar)
• Comfort with data pipeline/ETL concepts and hands-on experience with automation platforms (Workato or similar)
• Basic sales operations experience - territory/quota data, pipeline hygiene, CRM administration, reporting cadences
• Strong analytical rigor and attention to data accuracy/integrity
• Ability to document processes and data logic clearly for non-technical stakeholders
• Self-starter comfortable building process and reporting infrastructure from the ground up
• Experience at a high-growth B2B SaaS startup strongly preferred

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