Senior Marketing Analytics Engineer

Gympass

Senior Marketing Analytics Engineer designing and maintaining data infrastructures for marketing performance analysis. Collaborating with teams to enhance AI-driven analytics tools.

Posted 7/1/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies

AirflowETLPythonSQLTableau

About the role

Key responsibilities & impact

Data Engineering & Architecture — Own the foundational marketing data layer. You will design, build, and maintain the data pipelines that transform raw marketing sources into optimized dimensional models (utilizing Medallion architecture), delivering clean, report-ready tables for downstream business intelligence and analytics;
Predictive Analysis — Develop and apply statistical and predictive models to forecast key marketing funnel metrics, identify areas for improvement, and inform strategic decision-making;
Marketing Attribution — Support the design and implementation of marketing attribution models to accurately measure channel and campaign contribution;
Data Quality & Governance — Ensure data reliability through monitoring, validation, cleansing, and adherence to data governance policies;
Documentation & Versioning — Maintain thorough documentation of the marketing data ecosystem and version data projects in GitHub;
Semantic Layer for AI — Maintain and extend BI data models (LookML and/or dbt preferred) enriched with metadata, business context, and structured definitions that make them consumable by AI agents and natural language analytics interfaces;
Reusable AI Skills & Workflows — Build reusable AI skills, tools, and workflows that allow analysts and stakeholders to interact with governed data through natural language interfaces;
AI Quality Assurance — Run structured test cycles to validate AI agent output accuracy, identify regressions, and maintain quality standards as models and data evolve;
Data Standards for Responsible AI — Contribute to metadata standards and responsible AI guidelines that govern how marketing data is surfaced through automated and AI-assisted analytics.

Requirements

What you’ll need

3–5 years in analytics engineering, data engineering, business intelligence, or a closely adjacent technical role;
Experience working in cross-functional settings with both technical and non-technical stakeholders;
Fluent English;
Proficiency in Python and SQL for production-grade data work;
Experience with data warehousing concepts, ETL/ELT workflows, and orchestration tools (dbt, Airflow, or similar);
Strong data modeling skills — dimensional modeling, data layering;
Hands-on experience with semantic layer tools (Looker/LookML strongly preferred; Tableau, PowerBI, or similar acceptable);
Hands-on experience with LLMs and agentic workflows — designing agent context, building or testing AI-assisted pipelines, or working with LLM-based tools in a production environment.
Nice to have: Marketing analytics domain knowledge: B2C/B2B funnels, attribution models, CRM, growth measurement.

Benefits

Comp & perks

WELLHUB: Free Gold+ membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you.
WELLZ: A complete emotional wellbeing program with a unique approach. It offers personalized journeys that combine individual therapy sessions (52 per year) and on-demand content.
HEALTHCARE: Health, dental, and life insurance.
FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. When you join, use our home office reimbursement to set up your home office.
FLEXIBLE SCHEDULE: Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.
PAID TIME OFF: It’s important to take time away from work to recharge. Employees receive vacations after 6 months and additional 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + an extra holiday for your birthday!
PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled.
CAREER GROWTH: Access world-class platforms, participate in interactive sessions, build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success.
CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters.

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Hard Skills & Tools

Data EngineeringPredictive ModelingDimensional ModelingETL/ELT WorkflowsData WarehousingData Pipeline DevelopmentAI WorkflowsData ValidationStatistical AnalysisData Governance

Soft Skills

Cross-Functional CollaborationCommunication