Senior Analytics Engineer - Ai

Fourkites

Remote
Remote
B2b customer 360 data model
Growth & retention kpis
Ai/ml and llm techniques
Partner with Sales, Marketing, Operations, and CSM leaders to define and operationalize Growth & Retention KPIs (acquisition, activation, expansion, churn, LTV, NRR)

Job Summary

  • Partner with Sales, Marketing, Operations, and CSM leaders to define and operationalize Growth & Retention KPIs (acquisition, activation, expansion, churn, LTV, NRR).
  • Build and maintain a B2B Customer 360 data model integrating product usage, contracts, billing, support, engagement, and operational signals.
  • Leverage AI/ML and LLM-based techniques for: Automated insight generation, Anomaly detection, Opportunity and risk scoring, Natural language analytics (e.g., text-to-SQL, insight summaries).

Matching Summary

Partner with Sales, Marketing, Operations, and CSM leaders to define and operationalize Growth & Retention KPIs (acquisition, activation, expansion, churn, LTV, NRR).

Skills & Requirements

Must-have

  • B2B Customer 360 data model
  • Growth & Retention KPIs
  • AI/ML and LLM techniques
  • scalable analytics foundations
  • Supply Chain / Logistics domain experience

Nice-to-have

  • data-led, customer-first SaaS business
  • modern, AI-driven analytics foundations
  • curious problem solvers
  • celebrates differences, leads with empathy and values inclusivity

Key Requirements

  • 6+ years of experience in Analytics Engineering, Data Engineering, or Advanced BI
  • Expert-level SQL
  • Experience building dimensional models
  • Experience applying statistical or ML techniques
  • Strong communication and stakeholder influence skills

Work Rights

Not specified

Tailored Resume

Cover Letter