Data Partnerships Analyst

About the role

We are building an AI-native platform where industrial data becomes actionable through semantic enrichment, intelligent agents, and governed interoperability. The Data Partnerships Analyst will be on the front lines of this strategy: researching, evaluating, and supporting partnerships with leading data providers.

Responsibilities

• Market Landscaping & Research: Identify, track, and evaluate relevant data providers across global markets.
• Deal Support: Assist in structuring partnership discussions, including preparing briefs, evaluating contract terms, and surfacing risks or dependencies.
• Data Evaluation: Assess sample datasets for coverage, quality, refresh frequency, schema design, and interoperability with Fabrion’s knowledge graphs.
• Partnership Pipeline: Maintain CRM-style tracking of outreach, engagements, and deal status across priority providers.
• Competitive Intelligence: Benchmark competitors’ data strategies and build landscape views of potential threats and opportunities.
• Cross-Team Collaboration: Work with product, engineering and legal teams to translate data partnership requirements into technical and contractual frameworks.

Requirements

• Core Experience: 3+ years experience in research, consulting, corporate strategy, business development or partnerships.
• Experience: Experience in the automotive industry, particularly at an OEM and/or Tier 1 supplier, is a huge plus.
• Skills: Strong analytical skills; comfort with messy datasets, Excel/Sheets, and SQL/Python basics. Excellent communication and synthesis skills — able to distill complex market landscapes into crisp takeaways.
• Exposure: Exposure to B2B SaaS, data vendors, or enterprise technology ecosystems preferred.
• Mindset: Systems thinker: curious about how fragmented datasets connect into real-world decision and execution systems. Comfortable navigating ambiguity and building processes from scratch. High ownership: proactive, organized, and reliable in pushing workstreams forward.

Qualifications

• Education: Bachelor’s degree in Computer Science, Engineering, Business, or related field.

Skills

• Sharp analytical skills.
• Comfort with messy datasets, Excel/Sheets, and SQL/Python basics.
• Excellent communication and synthesis skills.
• Understanding of trade data, entity mapping, risk and compliance frameworks (REACH, RoHS, ESG, sanctions).
• Familiarity with data licensing, APIs, or data feeds.
• Prior exposure to supply chain, automotive, or industrial domains.

Benefits

Competitive salary + early-stage equity.

Pay

Competitive salary + early-stage equity.

Schedule

Full-time.