Note: The job is a remote job and is open to candidates in USA. Axion is a forward-thinking company focused on transforming product quality and customer satisfaction in manufacturing through its AI-powered platform. The Data Analyst will be responsible for analyzing large datasets to generate actionable insights that inform strategic business decisions and support text and document annotation initiatives.
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
Skills
- 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
- 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
- Must Have: Python, Excel (or Google Sheets), SQL
- 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
- Experience in a fast-growing startup environment
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Large Language Models (LLMs)
- And related AI technologies
Benefits
- Generous time off
- Competitive compensation, equity, and benefits
- Lunch stipend…. And much more
Company Overview