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Data Analyst

Axion

United States · Tam zamanlı

Başvuran ilk kişi siz olun

Deneyim
2-3 yıl
Maaş
Açılışlar
1
Yayınlandı
2 saat önce
Çalışma modu
Ofiste
Eğitim
Lisans
Uygunluk
Applicants must qualify as a U.S. Person under ITAR and be physically located in the United States, including Puerto Rico and other U.S. territories.
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İş tanımı

About Axion

Axion, founded in 2021, is building AI-driven solutions that help manufacturers improve product quality and customer outcomes. Its platform helps teams detect quality issues faster, investigate them more thoroughly, and resolve them more effectively across industrial, aerospace, consumer, and medtech environments. The company focuses on combining advanced AI with manufacturing expertise to improve performance, reduce costs, and modernize production systems. Axion is supported by investors such as Bessemer Venture Partners, Amplo, Boeing, and RTX Ventures.

Role Overview

Axion is hiring a detail-oriented and analytical Data Analyst who can work with large datasets, turn raw information into business insights, and support data labeling work for NLP and LLM-based products. This role blends traditional analytics with document and text annotation support, so the ideal candidate should be comfortable moving between data analysis, process improvement, and collaboration with technical and business teams.

What You Will Do

  • Work with large and complex datasets to identify patterns, trends, and usable insights using Excel, Google Sheets, SQL, and Python.
  • Partner with Senior Analysts and Lead Analysts to understand client data and shape practical, data-backed recommendations.
  • Prepare datasets by cleaning, checking, validating, and organizing them for analysis and modeling.
  • Turn analytical findings into clear business stories and strategic recommendations.
  • Create simple scripts and automated workflows to reduce manual work and improve efficiency.
  • Continuously refine internal processes and strengthen analytical operations.
  • Support tool setup and product/workflow improvements that make the team more efficient.

What You Need

  • A bachelor’s degree in engineering, science, mathematics, computer science, or a similar field.
  • 2–3 years of relevant experience in manufacturing, aerospace, consumer, automotive, or similar product-focused companies or startups.
  • Prior exposure to a fast-scaling startup environment is preferred.
  • Strong ability to own projects end to end, from defining the problem to delivering the solution.
  • Capacity to connect business goals with actionable insights through analytics and domain knowledge.
  • An entrepreneurial mindset suited to a fast-paced, changing environment.
  • Strong verbal and written communication skills.
  • Hands-on experience with Python, Excel or Google Sheets, and SQL.
  • Preferred exposure to machine learning, natural language processing, large language models, and related AI tools.

Who Can Apply

This role is open only to candidates who qualify as a U.S. Person under ITAR regulations. Applicants must be physically located in the United States, including Puerto Rico and other U.S. territories.

Working Style

Axion describes itself as a high-ownership, fast-moving workplace where people are expected to communicate clearly, collaborate often, and work with a strong sense of accountability. The team values direct feedback, low ego, quick decision-making, and a strong bias toward action. The environment may occasionally require weekend effort or late-night problem solving, but the company also emphasizes respecting time off and avoiding burnout.

What Axion Offers

The company offers the chance to work on cutting-edge AI products with real impact in manufacturing, along with a mission-driven team and supportive leadership. Benefits include generous time off, competitive compensation, equity, benefits, and a lunch stipend, plus additional advantages not fully detailed in the listing.

Equal Opportunity

Axion is an equal opportunity and affirmative action employer. All qualified applicants are considered without discrimination based on race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other status protected by law.

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