Join to apply for the Lead/Manager Analytics role at Axion Ray.
About Axion Ray
Axion Ray’s mission is to improve the quality and safety of engineered products—airplanes, electric vehicles, and medical devices—by creating the world’s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech & AI stack—including Generative AI and NLP/LLMs—to solve real-world problems.
Our team includes experts in Enterprise AI from Palantir, McKinsey & QuantumBlack, and other top tech companies.
Since our founding in early 2021, we’ve deployed solutions across some of the largest Automotive and Aerospace companies in the world. If you want to help build the future of engineering, join us!
What You Will Do
Business & Product Alignment
- Partner with business/product stakeholders to translate initiatives into clear analytics scope.
- Understand manufacturing data from clients, and devise strategies to solve pain points and add business value.
Project Management & Problem Solving
- Own end-to-end project delivery through effective prioritization, resource allocation, timeline management, and stakeholder communication.
- Unblock and mentor analytics teams using technical expertise in Analytics, ML, LLM, and related fields.
- Lead collaborations with Engineering, Product, and Data Science teams for better solutions and their implementation.
- Build data stories based on data-driven insights and solutions.
- Ensure solutions are complete and aligned with objectives via stand-ups and iterative course corrections.
Team Management
- Lead and mentor a team of analysts. Conduct regular 1:1s, provide actionable feedback, and ensure team welfare.
- Plan long-term talent needs and collaborate with hiring to build a high-performing team.
Who You Are
- Experience of 1-4 years, working with renowned manufacturing, aerospace, consumer, automotive, or startup companies.
- Proficiency with Python, Excel, SQL, ML, NLP, LLM, and related fields.
- Experience managing a team of data analysts from onboarding to performance management.
- Ability to understand business objectives and deliver insights through data storytelling.
- Entrepreneurial, driven, and adaptable in a fast-growing SaaS environment.
- Excellent written and verbal communication skills.
- Experience working in a startup environment.