Forward Deployed Analytics Engineer

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Improvado

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

📣 Marketing

💼 Consulting

☁️ SaaS

💰 $22M Series A - Improvado on 2022-05

Marketing • Consulting • SaaS

Improvado is an AI-native SaaS platform that centralizes marketing and sales data, connecting 1,000+ sources to provide automated ETL/ELT/Reverse ETL, data transformation, and enterprise-grade data governance. Its conversational AI agent answers natural-language queries, builds dashboards on the fly, generates and runs experiments across ad platforms, and applies creative intelligence to analyze and generate ad variants. The platform targets marketing and analytics teams at enterprises and agencies, emphasizing no-code data pipelines, real-time insights, automated campaign validation, and compliance (SOC 2, GDPR, HIPAA support).

📋 Description

• Own three to six customer accounts end to end, from discovery calls through data model, pipeline, dashboard, and handoff • Run weekly customer calls and turn customer needs into scoped builds with dates • Design and maintain SQL and dbt models on ClickHouse, BigQuery, or Snowflake • Write Python pipelines on Temporal for SFTP feeds, validation rules, custom joins, and audit emails • Ship dashboards in Looker, Power BI, or Tableau • QA deliveries before customers receive them • Report platform gaps to Product with reproducible cases • Join customer marketing data problems and support them through production

🎯 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 • Experience using Claude Code, Codex or Cursor for real work and ability to identify where they go wrong • Ability to hold a call with a marketing director and a data engineer and reach a decision • English C1 or better • Experience with marketing data is helpful • Experience with ad-platform, GA4 or CRM data is helpful • dbt in production is helpful • Experience with MMM or attribution is helpful • Experience with Temporal or Airflow is helpful • Must answer whether employer sponsorship is required

🏖️ Benefits

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

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