Marketing Analytics Engineer

Gympass; United States; Remote; USD 32,000 - 42,000; Full time

Benefits offered by this job

Home-office reimbursement

Flexible scheduling

Health insurance

Wellbeing resources

Wellness membership

Paid parental leave

Paid time off

Learning opportunities

Job summary

Gympass seeks a data-focused analytics engineer to build pipelines and models that turn raw marketing data into actionable insights. You will extend BI models, create AI-driven tools, and support predictive marketing analytics across teams, ensuring data quality and governance.

This embedded role emphasizes collaboration with analytics, marketing tech, product, and sales operations and is remote within Brazil.

Qualifications

• Experience in analytics engineering, data engineering, business intelligence, or a closely related technical role.
• Strong Python and SQL skills, including building maintainable, production-grade pipelines.
• Familiarity with data warehousing, ETL/ELT, orchestration, and modern data architecture.
• Ability to collaborate across technical and business teams and communicate analytical findings clearly.

Responsibilities

• Develop and maintain pipelines that turn raw marketing data into modeled, report-ready datasets.
• Extend business intelligence models with definitions and context that make governed data usable in natural-language analytics tools.
• Create reusable AI tools and workflows, and test their outputs for accuracy and regressions.
• Support statistical and predictive models for marketing funnel metrics and maintain attribution models for campaigns and channels.
• Monitor data quality, governance, and documentation, using validation and version control to keep data dependable.
• Work with partner teams to translate marketing questions into useful, data-driven insights.

Skills

Analytics engineering

Data engineering

Business Intelligence

Python

SQL

Data warehousing

ETL/ELT

Orchestration

Communication

Tools

dbt

LookML

Job description

Role overview

Build the data foundation that helps marketing teams understand campaign performance and supports AI-assisted analytics. This embedded role combines analytics engineering, data modeling, marketing analysis, and applied AI, with close collaboration across analytics, marketing technology, product, and sales operations. The role is remote within Brazil.

Responsibilities

• Develop and maintain pipelines that turn raw marketing data into modeled, report-ready datasets.
• Extend business intelligence models with definitions and context that make governed data usable in natural-language analytics tools.
• Create reusable AI tools and workflows, and test their outputs for accuracy and regressions.
• Support statistical and predictive models for marketing funnel metrics and maintain attribution models for campaigns and channels.
• Monitor data quality, governance, and documentation, using validation and version control to keep data dependable.
• Work with partner teams to translate marketing questions into useful, data-driven insights.

Requirements

• Experience in analytics engineering, data engineering, business intelligence, or a closely related technical role.
• Strong Python and SQL skills, including building maintainable, production-grade pipelines.
• Familiarity with data warehousing, ETL/ELT, orchestration, and modern data architecture.
• Ability to collaborate across technical and business teams and communicate analytical findings clearly.

Nice to have

• Experience with dbt or LookML, marketing attribution, statistical modeling, or AI-enabled analytics.

Benefits and work setup

• Remote work from within Brazil, with a home-office reimbursement and flexible scheduling.
• Health, dental, and life insurance; wellbeing resources; and a wellness membership with options to include family members.
• Paid parental leave, paid time off, and learning and career-development opportunities.