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Junior Data Analyst (m/f/d) – AgTech & Sustainability at Crocs, Inc.

Hamburg, Hamburg, Germany -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

45000.0

Posted On

09 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Python, Node.js, SQL, Git, REST APIs, Grafana, ETL Workflows, AI-assisted Coding Tools, Docker, CI/CD, Spanish Language Skills, German Language Skills, FileMaker, Data Integration, Farming Environments

Industry

Staffing and Recruiting

Description

Junior Data Analyst (m/f/d) – AgTech & Sustainability Location: Remote (Spain, Chile or Germany) | Hybrid optional Contract: Full-time | 40h/week | 28 vacation days About the Company The company is an innovative AgTech organization developing next-generation virtual fencing and ultra-high-density grazing technology. Their hardware and software solutions empower regenerative agriculture at scale, helping farmers increase productivity while improving soil health and biodiversity. The work environment is fast-moving, highly collaborative and built on strong values such as ownership, impact, flexibility and growth. The team works closely with the CTO and CEO, enabling quick decisions and a hands-on mindset. Why This Role Is Attractive ✓ Full ownership of the analytics domain ✓ Real sustainability and environmental impact ✓ Remote work possible from Spain, Chile or Germany ✓ Direct collaboration with CTO/CEO ✓ Modern, AI-assisted toolchain ✓ Budget for equipment and professional development The Role The company is seeking a Junior Data Analyst who will take ownership of the analytics function within their AgTech platform. The role involves building dashboards, developing data pipelines, integrating multiple data sources and preparing analytics components for commercial rollout. This position is part of a small (

Responsibilities

The Junior Data Analyst will take ownership of the analytics function, building dashboards and developing data pipelines. They will also integrate multiple data sources and prepare analytics components for commercial rollout.