Finance Analytics - Los Angeles, CA

About the role

Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that. Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us.

Responsibilities

• Partner with Strategic Finance team to understand their analytics needs and deliver end-to-end data solutions, from data collection and modeling to analysis, insights generation, and executive-level presentations.
• Investigate fluctuations in key metrics, by leveraging SQL, Python, and BI tools to uncover root causes and actionable recommendations.
• Lead efforts to consolidate metrics across multiple business lines into unified dashboards and reporting frameworks, enabling more effective decision-making.
• Conduct pricing and market analyses by combining internal operational data, benchmarking information, and external market research to develop pricing recommendations for facilities and business units.
• Develop data models and analytical frameworks that support forecasting, business planning, and strategic initiatives.
• Present findings and recommendations to senior stakeholders, clearly communicating complex analyses and business implications.
• Collaborate cross-functionally with Finance, Operations, Product, and Business teams to solve complex business problems through data-driven decision making.

Requirements

• 5+ years of experience in business intelligence, analytics engineering, revenue operations, or related analytical functions
• Degree in Economics, Statistics, Data Science, Engineering, or equivalent practical experience.
• Experience in supporting Finance teams is a plus, but not required
• High AI fluency: you actively use AI tools in your day-to-day work - for analysis, writing, data exploration, or workflow automation - and you bring a point of view on how AI can raise the bar for your team's output and speed.
• Strong proficiency in SQL and Python
• Experience with business intelligence and visualization tools such as Looker, Power BI, Tableau, or similar platforms.
• Strong analytical and problem-solving skills, with the ability to translate business questions into structured analyses and actionable insights.
• Comfortable operating as a generalist in a fast-paced and evolving environment.
• Why join us
• What else you need to know
• The base salary range for this role is $122,000 - $143,000 per year.
• Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
• Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.
• Benefits Summary (USA Full-Time Exempt Employees):
• Medical, dental, and vision insurance (multiple plans, incl. HSA options).
• Company-paid life and disability insurance (short- and long-term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self,

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