Remote Senior Analytics Engineer: Lead Data Pipelines & ML

Coinbase, Inc.

Concord (NH)

Hybrid

USD 180,000 - 212,000

Full time

14 days+
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Job summary

Coinbase is seeking a Senior Analytics Engineer on the GFCO Analytics Engineering team to build data foundations and scalable analytics for CX and compliance operations. You will own end-to-end data models, design experiments, and apply ML techniques to impact customer experience.

You will partner with cross-functional teams to translate business needs into data solutions, shape standards, and deliver dashboards that reduce time-to-insight while maintaining statistical rigor.

Qualifications

  • 5+ years in analytics engineering or data engineering with production pipelines and dimensional models.
  • Advanced SQL and Python for data models, pipelines, and ML deployment.
  • Experience designing A/B tests and causal inference with rigor for executive reporting.

Responsibilities

  • Own design, build, and maintenance of production data pipelines and analytics products.
  • Develop self-serve dashboards in Looker, Tableau, or Hex for CX stakeholders.
  • Design and execute causal inference frameworks and quasi-experiments to measure CX impact.
  • Partner with stakeholders to translate business needs into scalable data solutions.
  • Lead deep-dive analyses using Bayesian methods and time-series analyses to identify opportunities.
  • Shape analytics engineering standards and testing frameworks for data quality.

Skills

Analytics engineering
SQL
Python
A/B testing
Causal inference
Data pipelines
Dashboards
Looker
Tableau
Hex
ML for ops

Tools

dbt
Airflow
Snowflake

Job description

Coinbase is seeking a Senior Analytics Engineer on the GFCO Analytics Engineering team to build data foundations and scalable analytics for CX and compliance operations. You will own end-to-end data models, design experiments, and apply ML techniques to impact customer experience.

You will partner with cross-functional teams to translate business needs into data solutions, shape standards, and deliver dashboards that reduce time-to-insight while maintaining statistical rigor.

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