Bachelor's degree in Finance, Business, Data Science, Statistics, or a related field
3-5+ years of hands-on experience in data analytics, business intelligence, or related roles
Experience applying analytics and automation to real-world business problems with measurable impact
Ability to work with messy data and build models from inception to deployment
Proven skill in summarizing complex analyses for non-technical audiences
Strong communication skills and ability to collaborate across functions
Responsibilities
Analyze sales trends in bookings, billings, revenue, and margins across various segments
Build and maintain dashboards for reporting to Sales, Finance, and executive teams
Conduct sales funnel analysis to extract actionable insights
Support quarterly forecasts and long-range planning efforts
Enhance forecasting models using statistical and machine learning techniques
Implement automation opportunities for self-running analytics
Translate analyses into narratives for executive presentations
Benefits
Flexible work environment that supports remote and hybrid work
Opportunities for professional growth and skill development
Access to advanced data tools and technologies
Collaborative workplace culture that emphasizes innovation
Health, dental, and retirement plan options
Full Job Description
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
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
About Cirrus Logic, Inc
Cirrus Logic, Inc. is a fabless semiconductor supplier that specializes in analog, mixed-signal, and audio DSP integrated circuits (ICs). Since 1984, Cirrus Logic has been developing high-precision, analog and mixed-signal integrated circuits for a broad range of innovative customers. Cirrus Logic's products span the entire audio signal chain, from capture to playback, providing innovative products for the world's top smartphones, tablets, digital headsets, wearables, and emerging smart home applications. Cirrus Logic is headquartered in Austin, Texas, with offices in Edinburgh, Scotland, and Shenzhen, China.
