Sales Operations Analyst, AI & Revenue Intelligence

Cirrus Logic • Austin, TX

4d

About The Position

We're looking for a highly analytical, AI-fluent Sales Operations Analyst to own the end-to-end health of our revenue engine. This person will dig into billings, bookings, forecast, and pipeline/opportunity data to surface risks and trends before they hit the top line — and will use predictive modeling and AI tooling to make our forecasting sharper and more forward-looking than a traditional "look in the rearview mirror" operations function. This is not a report-generation role. We need someone who can build models, question assumptions, and tell leadership what's about to happen — not just what already happened.

Requirements

• 3–5+ years in Sales Operations, Revenue Operations, FP&A, or a related analytics role.
• Hands-on experience with Salesforce (reporting, dashboards, pipeline/opportunity data structures).
• Hands-on experience with SAP (billings, revenue, financial reporting modules).
• Demonstrated experience building predictive/statistical models for forecasting (regression, time-series, or ML-based forecasting).
• Strong SQL skills and experience with a BI tool (Spotfire, Power BI, Looker, or similar).
• Practical, hands-on fluency with AI tools — using LLMs/AI copilots (e.g., Claude, ChatGPT, Copilot) to accelerate analysis, and/or building AI-assisted workflows, not just "aware of AI".
• Strong business acumen — able to connect data patterns to real commercial risk (churn, slipping deals, forecast gaps, market softening).
• Excellent communication skills; able to present technical findings to non-technical executive audiences.

Nice To Haves

• Experience with Python or R for statistical modeling and forecasting (pandas, scikit-learn, statsmodels, Prophet, etc.).
• Experience with Salesforce CRM Analytics / Einstein Forecasting, or SAP Analytics Cloud.
• Experience building or working with AI agents/automations (e.g., using APIs, RPA, or agentic frameworks) to streamline recurring analysis.
• Background in SaaS, subscription, or usage-based revenue models.
• Experience with market/competitive intelligence tools (e.g., analyst reports, industry benchmarking data, PitchBook, Gartner).
• Familiarity with data visualization/storytelling best practices for executive reporting.
• Prior experience supporting a forecast call or QBR process directly with sales leadership.
• Certifications: Salesforce Certified Administrator or Advanced Analytics, SAP Analytics certification.
• Experience with prompt engineering or building custom GPTs/AI assistants for internal reporting workflows.
• Exposure to CPQ, billing automation, or deal desk processes.

Responsibilities

• Analyze revenue, billings, forecast, and opportunity/pipeline data across the sales funnel to identify risks, anomalies, and emerging trends.
• Build and maintain predictive models for revenue forecasting (e.g., pipeline coverage models, win-rate/velocity forecasting, churn/renewal risk scoring).
• Benchmark company performance against market and industry trends; flag where we're outperforming or underperforming the market and why.
• Partner with Sales, Finance, and RevOps leadership to translate data findings into actionable recommendations.
• Own data integrity and reporting workflows across Salesforce (CRM/pipeline data) and SAP (billings/financial data).
• Design and maintain dashboards and forecasting models that reduce manual reporting and increase forecast accuracy.
• Apply AI/ML tools and techniques (e.g., LLMs, forecasting libraries, agentic workflows) to automate analysis, generate insights, and accelerate reporting cycles.
• Present findings to sales leadership and executives in a clear, decision-ready format.

What This Job Offers

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