BI Analyst — Own Data, Flexible Hours, Growth

Energy Innovation Corp; Sacramento (CA); On-site; USD 92,000 - 138,000; Full time

Job summary

Colliers International in Sacramento, CA seeks a Business Intelligence Analyst to own data observability and ensure reliable, scalable analytics. You will map data flows across MLOps, identify leaks, and prototype Pandas solutions to deliver decisive yes/no outcomes for stakeholders.

You will mentor a mid-level team through initial clustering on-call, translate fuzzy product needs into actionable prioritization services, and safeguard data integrity across Hugging Face stores for accurate

Qualifications

• Stand up observability to detect failures before customers in CA
• Map data flow across MLOps services and spot leaks
• Spike a Pandas proof of concept quickly to answer yes/no
• Mentor mid-level team through initial clustering on-call

Responsibilities

• Stand up observability so Colliers International sees failures before customers in CA do
• Map data flow across Colliers International's MLOps services and spot the leaks
• Spike a Pandas proof of concept fast when Colliers International needs a yes-or-no answer
• Mentor the mid-level cohort through their first real Clustering on-call at Colliers International
• Translate fuzzy product wishes from Colliers International stakeholders into shippable Prioritization services
• Own data integrity across Colliers International's Hugging Face stores so Sacramento numbers never lie
• Write clean, well-tested code that scales with Colliers International's growing user base

Skills

Observability

Independent worker

CA market focus

Decision-led talks

Results-driven

Tools

Pandas

Hugging Face

MLOps

Job description

Colliers International in Sacramento, CA seeks a Business Intelligence Analyst to own data observability and ensure reliable, scalable analytics. You will map data flows across MLOps, identify leaks, and prototype Pandas solutions to deliver decisive yes/no outcomes for stakeholders.

You will mentor a mid-level team through initial clustering on-call, translate fuzzy product needs into actionable prioritization services, and safeguard data integrity across Hugging Face stores for accurate