Remote Dbt data build tool Jobs – 52 Openings This Week

Senior Marketing Analyst
Improvado —Remote
- Full-time
- Remote
- English
- SQL
- Analysis skills
- Paid time off
Quick apply
Senior Software Engineer - Java Streaming - Connectors
ClickHouse —Toronto, ON
- Remote
- Java
- Databases
- SQL
- Paid time off
14h
AI Native Engineer, Growth Marketing
CookUnity —Toronto, ON
- $190,000–$220,000 a year
- Remote
- Spanish
- SQL
- APIs
- Paid time off
Quick apply

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Senior Marketing Analyst

Improvado -
Remote

Quick apply

Job details

Full-time

Qualifications

Power BI
Data modeling
Facebook Advertising
R
Git
English
Tableau
SQL
Analysis skills
Docker
User acceptance testing
Google Ads
AI
Google Analytics
Communication skills
Data warehouse
Python
Marketing
Debugging
Analytics

Full job description

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

The Senior Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.

We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.

Responsibilities

Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights.
Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup.
Design and maintain data models that consolidate data from multiple marketing platforms and sources.
Map and document data flows across complex, multi-source schemas.
Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly.
Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations.
Manage and enhance data transformations with dbt.
Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness.
Use Git for version control and collaboration.

Must Have Qualifications

Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all.
3+ years of SQL experience.
Proficiency with AI tools and ability to integrate them into daily workflows.
Experience working with multiple marketing data sources simultaneously (ad platforms, CRM, web analytics, etc.).
Understanding of data modeling principles (star schema, dimensional modeling).
Understanding of ELT/ETL concepts and debugging data transformation logic.
English C1 level with excellent written and verbal communication.
Ability to communicate directly with clients and stakeholders.
Takes ownership and responsibility for their work and results.
Can present their work and insights confidently to clients.
Consistently checks their own work for quality, accuracy, and completeness before delivery.
Strong analytical skills, proactive problem-solving, and close attention to detail.
Comfortable with ambiguity and able to drive clarity with clients and internal teams.
Hands-on experience with QA/UAT processes.

Nice to Have

Knowledge of Google Analytics (for business understanding).
Knowledge of Google Analytics Data Streams.
Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.).
Understanding of Marketing Mix Modeling (MMM) concepts.
dbt experience in analytics workflows.
Python or other scripting language for data analysis and automation.
Experience with data quality frameworks or data observability tools.
Familiarity with marketing attribution models.

What We Offer

Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement

VYeLtC4ROR

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