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.
What You'll Do
- 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.
Required Skills and Qualifications
- 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.
Preferred Skills and Qualifications
- 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.
Nice to Have
- 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.
Skills Required
- 3-5+ years of experience in Sales Operations, Revenue Operations, FP&A, or a related analytics role
- Hands-on experience with Salesforce reporting, dashboards, and pipeline or opportunity data structures
- Hands-on experience with SAP billings, revenue, or financial reporting modules
- Experience building predictive or statistical forecasting models using regression, time-series, or machine learning methods
- Strong SQL skills
- Experience with a business intelligence tool such as Spotfire, Power BI, Looker, or similar
- Practical hands-on experience using LLMs, AI copilots, or AI-assisted workflows
- Strong business acumen connecting data patterns to commercial risks
- Excellent communication skills and ability to present technical findings to executive audiences
- Experience with Python or R for statistical modeling and forecasting
- Experience with pandas, scikit-learn, statsmodels, Prophet, or similar forecasting libraries
- Experience with Salesforce CRM Analytics, Einstein Forecasting, or SAP Analytics Cloud
- Experience building or working with AI agents and automations using APIs, RPA, or agentic frameworks
- Background in SaaS, subscription, or usage-based revenue models
- Experience with market or competitive intelligence tools such as PitchBook or Gartner
- Familiarity with data visualization and executive reporting storytelling best practices
- Experience supporting forecast calls or QBR processes with sales leadership
- Salesforce Certified Administrator or Advanced Analytics certification
- SAP Analytics certification
- Experience with prompt engineering or custom GPTs and AI assistants
- Exposure to CPQ, billing automation, or deal desk processes
- Authorization to work for any employer in the United States without visa sponsorship
- Ability to access technical data without requiring an export license
Cirrus Logic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cirrus Logic and has not been reviewed or approved by Cirrus Logic.
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Healthcare Strength — Healthcare includes multiple medical, dental and vision options, mental‑health resources, wellness programs, and access to an on‑site clinic in Austin. Feedback suggests these offerings underpin strong total‑rewards sentiment.
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Parental & Family Support — Programs span paid parental leave, fertility/adoption/surrogacy coverage, backup/dependent‑care supports, and a structured flex return. Feedback suggests family‑building depth is a notable strength of the package.
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Strong & Reliable Incentives — Compensation design features semiannual performance bonuses, profit‑sharing, and recognition awards that augment base pay. Feedback suggests these incentives help maintain competitive total compensation in key engineering roles.
Cirrus Logic Insights
What We Do
Cirrus Logic is a leading supplier of low-power, high-precision mixed-signal processing solutions for mobile and consumer applications. The company has a robust portfolio of sophisticated low-power products, including boosted amplifiers, smart codecs, camera controllers, haptic driver and sensing solutions, power conversion and control Integrated Circuits, and fast-charging Integrated Circuits. These solutions have innovative technology, software and associated algorithms incorporated. With a strong intellectual property portfolio and extensive mixed-signal expertise, Cirrus Logic is well-positioned to drive innovation and growth in the evolving markets of audio and high-performance mixed-signal processing technologies. We are hiring like crazy! Please visit our careers portal at cirrus.jobs to check out our available openings!
Why Work With Us
Engineering drives our company, and innovation isn’t just encouraged – it’s expected! This is a culture where you get to work with some of the largest, most innovative customers and products on the planet on a daily basis and where everyone is a key contributor to the company’s success. There are no Miltons here!
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