Senior Revenue Operations Analyst

Siteimprove•Minneapolis, MN

1d•$95,175 - $118,969

About The Position

The Senior Revenue Operations Analyst owns the pipelines, data models, dashboards, and automation used by Sales and Customer Success. The role turns complex commercial data into trusted territory, compensation, performance, and customer insights that support leadership decisions and frontline action. It combines analytical depth, operational execution, and forward-looking analytics, including designing territory and target models, developing compensation and attainment analytics, building scalable dashboards and executive insights, and creating AI-enabled workflows to improve go-to-market productivity and decision quality. The analyst builds semantic models and pipelines across the Microsoft analytics platform, evaluates emerging AI-assisted reporting tools, and applies AI to reduce manual analytics and operations work. The role partners with Sales and Customer Success leaders to turn ambiguous questions into durable, documented solutions, while using AI assistants and agent-based tools and critically validating their output. The position may require travel, and a valid passport is required.

Requirements

At least 5 years of experience in Revenue Operations, Sales Operations, Customer Success Operations, Commercial Operations, Business Intelligence, or a closely related analytical role.
Demonstrated experience with territory design, quota or target setting, compensation analytics, or performance reporting for a B2B SaaS organization.
Hands-on experience using AI assistants and agent-based tooling, such as GitHub Copilot, Microsoft Copilot, or Claude, as a core part of analytics development, including generating data models, transformation logic, and reports through natural-language and agentic interfaces and critically validating the output.
Demonstrated use of AI to improve analytics, reporting, and automation, with a practical, iterative approach to troubleshooting root causes and building supportable solutions.
Working experience across a modern cloud data and AI platform, with depth in the Microsoft stack, including Microsoft Fabric, Power BI, and Azure Logic Apps, and willingness to evaluate and adopt emerging AI-assisted reporting and development tools.
Strong data fundamentals, including dimensional modeling, semantic models, DAX, SQL, and building and supporting data pipelines and ETL or ELT workflows.
Working knowledge of Salesforce data structures and common GTM processes across accounts, opportunities, ownership, pipeline, bookings, renewals, and expansion.
Advanced Excel skills, including complex formulas, pivots, data validation, and scenario modeling.
Ability to structure loosely defined business questions into analysis and durable reporting, work with RevOps, Marketing, IT, and Security, and explain complex logic to technical and executive audiences.
Strong attention to detail, documentation discipline, and ability to identify and resolve data-quality issues.
Valid passport, as travel may be required.

Nice To Haves

Experience with Clari, Planhat, Zuora, compensation platforms (QuotaPath experience is a plus), data warehouses, or other SaaS GTM systems.
Experience developing governed AI workflows using Microsoft Copilot, Power Platform, enterprise AI platforms, or comparable tools.
Exposure to MCPs, agentic workflows, or AI-enabled applications built on governed enterprise data.
Experience with customer health, adoption, retention, renewal, and expansion analytics.
Experience partnering with Finance, HR, Payroll, and business systems teams on compensation or target processes.
Familiarity with data modeling, semantic layers, version control, UAT, and dashboard governance.
Experience supporting global or multi-region Sales and Customer Success organizations.

Responsibilities

Own annual and in-year territory planning for Sales and Customer Success, including segmentation, capacity and workload analysis, territory balancing, and scenario modeling.
Maintain territory logic, ownership mapping, change logs, and source-of-truth documentation across Sales, Customer Success, and BDR alignment.
Assess territory equity, coverage, productivity, customer continuity, and proposed changes with business leaders.
Coordinate approved territory and ownership changes with Salesforce, routing, and adjacent systems teams, and validate implementation.
Develop repeatable controls for hires, departures, leaves, account exceptions, and other territory or book-of-business changes.
Build and maintain analytical models for compensation plans, quotas, targets, accelerators, SPIFFs, and attainment reporting for Sales and Customer Success.
Validate compensation inputs and outputs, investigate discrepancies, and document calculation logic, assumptions, timing, and data sources.
Analyze the cost, behavior, fairness, and performance implications of proposed compensation plan mechanics or incentive changes.
Partner with RevOps, Finance, HR, Payroll, and GTM leadership on accurate compensation reporting and decision support, with clear governance and auditability.
Develop controls that reduce manual work and improve consistency across Salesforce, compensation systems, Power BI, and finance-grade data sources.
Own and enhance Sales and Customer Success dashboards for pipeline, bookings, forecast, attainment, territory coverage, retention, renewal, expansion, customer health, adoption, and activity outcomes.
Maintain the semantic models behind reporting, including DAX measures, dimensional design, refresh performance, and naming and version standards.
Build and support data pipelines and ETL or ELT workflows for RevOps analytics; monitor refreshes and data quality; and investigate reporting issues with IT, Security, and Data teams.
Migrate legacy and fragmented reporting to a governed, documented foundation with source control, agreed metric logic, and a named owner for each metric definition; reconcile differences across Salesforce, Clari, Planhat, Zuora, Power BI, and the data warehouse.
Translate leadership questions into metrics, dimensional models, visualizations, and recurring insights that distinguish facts, risks, and recommended actions.
Design, build, test, and support AI-enabled workflows, copilots, agents, prompts, and reusable templates for Sales and Customer Success.
Prioritize AI solutions for account planning, deal execution, forecast inspection, territory intelligence, customer risk and expansion identification, policy access, and seller or CSM productivity.
Gather requirements from GTM users, prototype solutions, run UAT, document usage guidance, and measure adoption and business impact.
Ensure AI outputs use trusted data and governed business definitions, with appropriate permission, privacy, accuracy, and human-review controls.
Maintain a practical roadmap of AI use cases and convert successful pilots into repeatable operational capabilities.
Conduct ad hoc analysis for Revenue Operations and GTM leadership, especially for decisions requiring an integrated view of Sales and Customer Success.
Create process documentation, metric definitions, business requirements, and operating procedures that support and transfer solutions.
Partner cross-functionally with Sales, Customer Success, Finance, HR, Payroll, Marketing, IT, Business Applications, and Data teams.
Support requirements gathering, prioritization, testing, enablement, and change management for reporting, process, and technology improvements.
Advise stakeholders analytically by challenging assumptions, explaining tradeoffs, and recommending a course of action.
Perform other duties as assigned.
Travel may be required; maintain a valid passport.

Benefits

Open Paid Time Off (OPTO) for vacation, personal illness, mental health, or caring for a family member.
Paid holidays.
Volunteer leave.
Parental leave.
Step Back In program to support a smooth transition back to work.
Medical coverage.
Dental coverage.
Vision coverage.
Health Savings Account (HSA).
Flexible Spending Accounts (FSA).
Employer-paid life and disability insurance.
Employee assistance programs.
Virtual care.
Wellness resources.
401(k) with company matching contributions.
Life and AD&D insurance.
Financial wellness resources.