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Bullpen Capital
Posted 18 days agoVerified live 14h ago

Forward Deployed Analytics Engineer

Brief overview

Remote
UndergradOr in progress
3+ yrsMinimum
SQLPythonClaude CodeCodexCursorAdvertising Platform DataGoogle Analytics 4 (GA4)CRM DatadbtMarketing Mix Modeling (MMM)Marketing AttributionAirflow

About the company

Bullpen Capital logo
Bullpen Capitalbullpencap.com

Bullpen is a venture capital fund that invests in post-seed capital into early-stage companies.

Job description

Summary

Improvado is an AI-powered marketing data platform that helps mid-market and enterprise teams automate marketing data workflows, unify data, and surface insights through BI and AI. The Forward Deployed Analytics Engineer owns customer analytics projects end to end, including discovery, data modeling, pipeline development, dashboard delivery, quality assurance, and handoff to customers.

Responsibilities

  • Run weekly customer calls and turn what you hear into a scoped build with dates
  • Design and maintain the models: SQL and dbt on ClickHouse, BigQuery or Snowflake, kept correct as sources change
  • Write Python pipelines on Temporal when the platform doesn't cover the case: SFTP feeds, validation rules, custom joins, audit emails
  • Ship dashboards in Looker, Power BI or Tableau, whichever the customer already runs
  • QA your own delivery before the customer sees it. Send platform gaps back to Product with a reproducible case

Skills

  • You have 3+ years shipping data work for people outside your own team: an agency, a consultancy, professional services, or an in-house analytics team with internal customers
  • SQL is your first language and Python a comfortable second
  • You've used Claude Code, Codex or Cursor for real work and can say where they go wrong
  • You can hold a call with a marketing director and a data engineer in the same hour and both leave with a decision
  • English C1 or better
  • Ad-platform, GA4 or CRM data. dbt in production. MMM or attribution. Temporal or Airflow

Qualifications

Must Haves

  • You have 3+ years shipping data work for people outside your own team: an agency, a consultancy, professional services, or an in-house analytics team with internal customers
  • SQL is your first language and Python a comfortable second
  • You've used Claude Code, Codex or Cursor for real work and can say where they go wrong
  • You can hold a call with a marketing director and a data engineer in the same hour and both leave with a decision
  • English C1 or better

Nice to Haves

  • Ad-platform, GA4 or CRM data. dbt in production. MMM or attribution. Temporal or Airflow

Benefits

  • Remote-first environment
  • Medical and dental benefits
  • 401(k) plan
  • Paid time off and US holidays
  • Professional development reimbursement

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