Job description

For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutions for the world's top consumer brands. Cirrus Logic is also known for its award-winning culture, which was built on a foundation of inclusion and fairness, meaningful community engagement, and delivering enjoyable employee experiences at every turn. But we couldn’t do it without our extraordinary workforce – and that’s where you come in. Join our team and help us continue to make Cirrus Logic an exceptional place to grow your career! The Financial Analyst will be a key member of the Finance organization, partnering with Sales, Finance, and Business Unit leaders to drive data-informed decisions and evolve our financial processes This role owns analytics, forecasting models, and insights that leverage modern data tooling and AI to improve financial performance, operational efficiency, and forecast accuracy across the finance organization. The ideal candidate is a change driver with hands-on experience in analytics, automation, and AI - someone who can translate data into business impact and challenge existing processes. Key Responsibilities Sales & Financial Performance Analytics 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 Forecasting, AI & Automation 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 Business Partnering & Storytelling 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 Required Qualifications 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 Preferred Qualifications 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 Key Competencies Change driver – Proactively challenges the status quo and drives adoption of new tools and approaches Analytical rigor – Structures ambiguous problems and validates results with a critical eye Business acumen – Connects sales and finance data to P&L outcomes and strategic priorities Execution and ownership – Takes initiative and delivers high-quality work independently Collaboration and influence – Builds partnerships and drives alignment with data #LI-PD2 #LI-Hybrid 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. Cirrus Logic strives to select the best qualified applicant for any opening. Different approaches, ideas and points of view are both valued and respected. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, national origin, age, protected veteran or disabled status, genetic information, or any other classification protected by applicable law.

Requirements

Must-haves

The ideal candidate is a change driver with hands-on experience in analytics, automation, and AI - someone who can translate data into business impact and challenge existing processes.
Sales & Financial Performance Analytics
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
Forecasting, AI & Automation
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
Business Partnering & Storytelling
Translate complex analyses into clear narratives and recommendations for non-technical stakeholders

Nice-to-haves

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
Key Competencies
Change driver – Proactively challenges the status quo and drives adoption of new tools and approaches
Analytical rigor – Structures ambiguous problems and validates results with a critical eye
Business acumen – Connects sales and finance data to P&L outcomes and strategic priorities
Execution and ownership – Takes initiative and delivers high-quality work independently
Collaboration and influence – Builds partnerships and drives alignment with data
#LI-PD2 #LI-Hybrid

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningml

Platform: lever
Effort: quick