Data Analyst

About Us: Founded in 2021, Axion is at the forefront of transforming product quality and customer satisfaction in manufacturing. Our cutting-edge AI-powered platform empowers manufacturers to swiftly identify, thoroughly investigate, and effectively resolve quality issues while simultaneously elevating customer experiences and outcomes. As trailblazers in end-to-end quality intelligence, we're setting new industry standards. Our innovative approach enables industrial, aerospace, consumer, and medtech manufacturers to harness the power of quality and post-market data, driving down costs and boosting business performance. Our vision extends beyond mere problem-solving; we're committed to reshaping the future of manufacturing. By seamlessly integrating advanced AI technology with deep industry expertise, Axion is paving the way for smarter, safer, and more efficient production processes across diverse sectors. Backed by leading investors, including Bessemer Venture Partners, Amplo, Boeing, and RTX Ventures, Axion is poised to lead the quality revolution in manufacturing. About the Role: We are seeking a detail-oriented, analytical, and curious Data Analyst to join our team. You will be responsible for collecting, processing, and analyzing large datasets to generate actionable insights that help drive strategic business decisions. In addition to traditional analytics tasks, you will also support text and document annotation initiatives, helping generate high-quality labeled data that powers our NLP and LLM-based AI solutions. The ideal candidate has strong analytical skills, is comfortable with complex data models, and can translate data into compelling narratives. Key Responsibilities: Analyze large, complex datasets to uncover trends and actionable insights using Excel, Google Sheets, SQL and Python. Collaborate with Senior Analysts and Lead Analysts to interpret client data and propose data-driven strategies. Clean, validate, and pre-process client datasets for analysis and modeling. Translate analysis into compelling business narratives and strategic recommendations. Build lightweight scripts and workflows to automate data handling and save time. Continuously improve internal workflows and enhance analytical processes. Collaborate on tool configurations, and enhancements to boost efficiency. Requirements: Bachelor's degree in engineering, science, mathematics, computer science, or a related field 2–3 years of relevant experience working in Manufacturing, Aerospace, Consumer, Automotive, or other product companies/startups Experience in a fast-growing startup environment is preferred Strong end-to-end ownership with the ability to independently drive projects from problem definition through execution Able to understand business objectives and translate them into actionable insights through data analysis and technical/domain expertise Entrepreneurial mindset with the flexibility to thrive in a fast-paced startup environment Excellent written and verbal communication skills Techstacks / Tools: Must Have: Python, Excel (or Google Sheets), SQL Strongly Preferred: Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs), and related AI technologies Eligibility: This position requires candidates to qualify as a U.S. Person under the International Traffic in Arms Regulations (ITAR) (22 C.F.R. § 120.62). Candidates must also be physically located in the United States, including Puerto Rico and other U.S. territories. Who You Are: You’re a builder and operator who thrives in fast-moving, high-accountability environments. You take pride in getting things done — thoughtfully, efficiently, and without drama. You’re energized by ambiguity, skilled at bringing clarity, and comfortable flexing between strategy and execution. You value feedback — giving it, receiving it, and acting on it — and you see collaboration as a competitive advantage, not a burden. You’re low-ego but high-agency: you care about winning as a team more than being right individually. You move quickly, communicate directly, and make decisions grounded in impact and data. You don’t need constant direction — you create momentum. You take ownership for outcomes, and you expect the same from those around you. How We Operate: We move fast, work smart, and hold ourselves to a high bar. Axion isn’t a 9–5 — it’s a place for people who take pride in their craft and are motivated by meaningful work. We respect time off and boundaries, but we’re also realistic: hard problems sometimes require weekend pushes or late-night thinking sessions. We support that balance — intensity with respect for recharge. We stay highly collaborative and connected throughout the day — much of our communication happens over Slack. We move quickly, share feedback often, and keep discussions open so decisions and context flow freely. If you value crisp communication, rapid iteration, and a steady hum of collaboration, you’ll fit right in. We: Collaborate deeply. Feedback is part of how we build — everyone has a voice, and ideas win on merit. Leave ego at the door. Titles don’t define value; contribution does. Bias toward action. We iterate fast and favor progress over perfection. Communicate with clarity. Direct, transparent, and always in service of the mission. Act like owners. Everyone is accountable for outcomes, not just tasks. Sustain excellence. We push hard but don’t glorify burnout — we’re in this for the long game. If you want to help shape a company redefining how manufacturing operates — and you thrive in a culture that rewards ownership, speed, and candor — you’ll feel at home here What We Offer: Work with cutting-edge AI technology making a tangible impact in manufacturing Collaborative, mission-driven team and supportive leadership Generous time off Competitive compensation, equity, and benefits Lunch stipend…. And much more Ready to drive the future of manufacturing with AI? Apply today to join our team and help us build the category-defining platform for quality intelligence. Axion is an Equal Opportunity /Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws. #J-18808-Ljbffr