Remote Senior Analytics Lead — Guest Experience

United States Digital Space LLC

United States

On-site

USD 180,000 - 221,000

Full time

6 days ago
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Job summary

United States Digital Space LLC is seeking a Senior Analytics Leader to join the Quality & Blueprint team. The role drives end-to-end analysis, experiments, and reporting to improve guest and host experiences at scale.

You will work with Product, Engineering, Operations, and Finance to diagnose issues, design interventions, and deliver leadership-ready recommendations, balancing rigor and speed across a constrained capacity period.

Qualifications

  • 10+ years of experience in advanced analytics, data science, or applied quantitative analysis.
  • Strong hands-on expertise in SQL and at least one programming language (Python or R).
  • Proven experience designing and analyzing A/B experiments and applying statistical methods.
  • Experience with causal inference techniques and applying them to business problems.
  • Experience with AI-assisted analytics workflows and LLMs.

Responsibilities

  • Deliver high-impact analysis, experimentation, and reporting to improve guest and host experience.
  • Design, execute, and analyze experiments (A/B tests and quasi-experiments).
  • Build causal inference frameworks to estimate impact of changes.
  • Leverage AI-assisted analytics to extract structured insights from unstructured data.
  • Develop metrics and dashboards for self-serve insights for stakeholders.
  • Partner with cross-functional teams to align methodology and interpretation.
  • Translate analyses into concise leadership-ready recommendations.

Skills

SQL
Python
R
A/B testing
Statistical methods
Causal inference
AI-assisted analytics
Data pipelines
Communication
Independent work

Tools

SQL

Job description

United States Digital Space LLC is seeking a Senior Analytics Leader to join the Quality & Blueprint team. The role drives end-to-end analysis, experiments, and reporting to improve guest and host experiences at scale.

You will work with Product, Engineering, Operations, and Finance to diagnose issues, design interventions, and deliver leadership-ready recommendations, balancing rigor and speed across a constrained capacity period.

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