Remote Analytics Engineer for Client-Facing Data & Dashboards

Improvado

New York (NY)

Remote

USD 110,000 - 160,000

Full time

5 days ago
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Benefits offered by this job

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

Job summary

Improvado, a leading AI-powered marketing data platform, is hiring a data systems engineer who will own 3–6 accounts end-to-end from discovery calls to production dashboards.

You’ll design data models with SQL and dbt, implement Python pipelines on Temporal, and ship dashboards in Looker/Power BI/Tableau for diverse clients. You’ll collaborate across marketing directors and data engineers to drive decisions and ensure reliable deliveries.

Qualifications

  • 3+ years shipping data work for external teams (agencies, consultancies, or in-house teams).
  • SQL is your primary language; Python is a strong secondary.
  • Experience with Claude Code, Codex or Cursor in production workflows.

Responsibilities

  • Run weekly customer calls and translate feedback into scoped builds with timelines.
  • Design and maintain data models using SQL/dbt on BigQuery, Snowflake, or ClickHouse.
  • Write Python pipelines (Temporal) for edge cases: SFTP feeds, validation, joins, audits.
  • Deliver dashboards in Looker, Power BI, or Tableau chosen by the customer.
  • QA your delivery and report platform gaps with reproducible cases to Product.

Skills

SQL
Python
Stakeholder communication
English proficiency

Tools

Claude Code
Codex
Cursor
dbt
Airflow
Temporal
BigQuery
Snowflake
Looker
Power BI
Tableau

Job description

Improvado, a leading AI-powered marketing data platform, is hiring a data systems engineer who will own 3–6 accounts end-to-end from discovery calls to production dashboards.

You’ll design data models with SQL and dbt, implement Python pipelines on Temporal, and ship dashboards in Looker/Power BI/Tableau for diverse clients. You’ll collaborate across marketing directors and data engineers to drive decisions and ensure reliable deliveries.

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