Business Operations Analyst

BioLabs is a global innovation infrastructure company creating the physical and community backbone that powers life science discovery worldwide. Through a growing network of premium shared laboratories and coworking spaces, BioLabs provides turnkey access to state-of-the-art research facilities, entrepreneurial programming, and deep industry and capital connections. These integrated ecosystems enable innovators - from early-stage founders to established R&D teams - to rapidly translate ideas into impact without the constraints of traditional lab ownership. The BioLabs network now spans major innovation hubs across the United States, Canada, Europe, and Asia, serving as a catalyst for collaboration and a launchpad for breakthroughs that advance human health and sustainability. Learn more at www.biolabs.io.

ROLE OVERVIEW

The Business Operations Analyst will support the growth and scalability of Marketplace operations globally. The ideal candidate will drive supplier expansion, analyze operational performance, and deliver data driven insights to support strategic business decisions. This is a remote position based in Europe.

RESPONSIBILITIES

• Own execution of supplier onboarding and expansion across multiple regions (North America, EU, Asia).  

• Own execution of system workflows and operational processes (Jaggaer or similar tools) 

• Prepare, clean, and manage datasets across procurement, finance, and operations 

• Drive reporting and dashboard generation (Excel / Power BI) 

• Support ROI model development and analytics initiatives 

• Identify inefficiencies and drive process improvement initiatives 

• Support automation of workflows and continuous improvement efforts 

 REQUIRED QUALIFICATIONS

• 3+ years of experience in operations, analytics, or systems 

• Strong Excel skills 

• SQL or Python (preferred) 

• Experience with ERP/SaaS tools 

• Structured problem solving 


• Process improvement experience (Lean/automation) 

 PREFERRED QUALIFICATIONS

• Power BI / Tableau 


• Stakeholder coordination experience 


• Machine learning/data modeling support 


• Machine learning exposure