What You'll Do
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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.
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Required Skills and Qualifications
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3-5+ years in Sales Operations, Revenue Operations, FPandA, 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.
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Preferred Skills and Qualifications
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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.
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Nice to Have
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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.
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::: {qa="closing-description"}
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Export control restrictions based upon applicable laws and regulations would prohibit candidates who are nationals of certain embargoed countries from working in this position without Cirrus Logic first obtaining an export license. Candidates for this role must be able to access technical data without a requirement for an export license. We are unable to sponsor or obtain export licenses for this role.:::
