Analyze bookings, billings, revenue, and margin trends at customer, product, and regional levels
Build and maintain dashboards and standard reports for Sales, Finance, and executive leadership
Conduct sales funnel analysis (coverage, conversion, cycle times, win/loss) to surface actionable insights
Support quarterly forecast, annual plan, and long-range planning processes
Enhance forecasting models using statistical and machine learning techniques
Identify and implement automation opportunities to replace manual reporting with reliable, self-running analytics
Partner with Sales and Finance leadership to improve forecast accuracy and quantify risks and opportunities
Translate complex analyses into clear narratives and recommendations for non-technical stakeholders
Prepare and present materials for executive reviews, QBRs, and strategic planning
Act as a trusted partner to Sales and Finance leadership, influencing decisions with data

Bachelor’s degree in Finance, Business, Data Science, Statistics, or related field
3–5+ years of hands-on experience in data analytics, business intelligence, or a related role working with complex business datasets
Demonstrated experience applying analytics and automation to real-world business problems, with measurable impact
Comfort working with messy data and building models from problem framing through deployment
Proven ability to summarize complex analysis into clear, concise business insights for non-technical audiences
Strong communication and cross-functional collaboration skills.
Experience with AI/ML techniques (e.g., regression, time-series forecasting, classification) applied to sales or finance data.
Familiarity with CRM systems such as Salesforce and integrating CRM data into analytics workflows.
Prior experience supporting Sales, Revenue Operations, or Commercial Finance organizations.
Background in semiconductor, technology, or B2B environments.
Exposure to generative or agentic AI tools for workflow automation or data querying.

Cirrus Logic is known for its award-winning culture, built on inclusion and fairness.
Meaningful community engagement.
Delivering enjoyable employee experiences at every turn.

Financial Analyst – Sales, Analytics & AI

Key skills