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Forward Deployed Analytics Engineer

Improvado·$70,000 – $120,000

Primary stack

dbtSnowflakeBigQueryPower BIClickHousePythonAirflowTableauLookerSQL

Nice to have's

Ad-platformGA4CRM datadbtMMMattribution

Job description

About the Position

Forward Deployed Analytics Engineer

Remote

Full Time

Experienced


Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.


About the Role

You join a customer's marketing data problem and stay until it runs in production. One month it's a pharma brand that needs validated files delivered to its agency every night. The next it's a DTC brand that wants attribution it can defend, or an agency running forty client dashboards on one model. You own three to six accounts end to end: the discovery calls, the data model, the pipeline, the dashboard, the handoff. Your pair is not a checkbox.


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.

Requirements

  • 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 tools like Claude Code, Codex or Cursor for real work and can identify 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 proficiency at C1 or better.

Nice to Have

  • Experience with ad-platform, GA4 or CRM data.
  • dbt in production.
  • Knowledge of MMM or attribution.
  • Experience with Temporal or Airflow.

We Offer

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

Salary

70,000 - 120,000 USD YEAR


About the Company

Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.

© Improvado. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Путьimprovado.ioберёт своё начало от запуска торговой доски (DSP), разработанной с целью упрощения алгоритмической закупки рекламы, которая помогала бы маркетологам и руководителям в области цифровой рекламы.После того, как мы познакомились более, чем со 100 цифровыми медиа-агентствами и организациями, наша команда нашла серьезную, «болевую» для каждого из них проблему: отчетность и мониторинг цифровых рекламных кампаний, которые, к тому же, выполнялись вручную.Мы осознали, что у нас появилась действительно большая возможность развития, и нам пришлось действовать быстро. За последний год мы работали в тесном сотрудничестве с несколькими брендами и медиа-агентствами для разработки инструментальной панели оценки эффективности рекламных кампаний, в то время как наши аналитики Big Data сосредоточились на создании автоматизированных советов по оптимизации.

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