Senior Data Analyst, GTM Analytics & AI-Driven Insights

Luxury Presence

Austin (TX)

On-site

USD 145,000 - 175,000

Full time

2 days ago
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Job summary

Luxury Presence is seeking a Senior GTM Analytics professional to own analytics for Sales, Marketing, and Client Success. You will build modern analytics infrastructure, contribute to Lighthouse, and push AI-powered workflows to accelerate insights.

You’ll partner with leadership across GTM to shape how data informs decisions and drive measurable impact. You’ll work in two-week sprints with Analytics Engineering, shipping dashboards and data models that power pipeline, retention, and campaign

Qualifications

  • 5+ years in analytics/BI supporting Sales, Marketing or CS at a fast-growing company.
  • Expert SQL and dbt experience modeling GTM data.
  • Python for analysis and automation.
  • Experience with Salesforce as a data source.
  • Familiarity with a modern data stack: Fivetran and a cloud warehouse like Snowflake.

Responsibilities

  • Deliver decision-ready analysis across Sales, Marketing, and CS: pipeline health, funnel conversion, campaign performance, retention.
  • Partner with stakeholders to scope questions and drive decisions beyond dashboards.
  • Build and maintain dbt models and marts; ensure data quality and documentation.
  • Contribute to Lighthouse BI-as-code platform and AI-enabled workflows.

Skills

5+ years analytics/BI
Expert SQL
dbt
Python
Salesforce data source
Fivetran / EL tooling
Snowflake / cloud warehouse
BI tools (Sigma/Hex/Tableau/Looker)
Agentic analytics / AI fluency
Strong communication

Tools

dbt
Salesforce
Snowflake
Fivetran
Claude Code

Job description

Luxury Presence is seeking a Senior GTM Analytics professional to own analytics for Sales, Marketing, and Client Success. You will build modern analytics infrastructure, contribute to Lighthouse, and push AI-powered workflows to accelerate insights.

You’ll partner with leadership across GTM to shape how data informs decisions and drive measurable impact. You’ll work in two-week sprints with Analytics Engineering, shipping dashboards and data models that power pipeline, retention, and campaign

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