← CarreiraAI
Greenhouse
Remoto
Sênior Marketing Analytics Engineer
Gympass · Brazil (Remote)
Publicada em 27/10/2026
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p strong Your wellbeing, our mission. Join a company shaping a healthier world. /strong /p p strong GET TO KNOW US /strong /p p At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company. /p p We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. nbsp; /p p strong Join us in redefining the future of wellbeing! /strong /p p nbsp; /p p strong THE OPPORTUNITY /strong /p p We are hiring a strong Marketing Analytics Engineer (AI) /strong to our strong Marketing /strong team in strong Brazil /strong ! /p p The Marketing Analytics Engineer (AI) is an embedded analyst position, a hybrid role combining data engineering, marketing data analysis, and applied AI skills. This individual supports the Marketing Analytics team by building and maintaining the data infrastructure that enables business teams to analyze campaigns and overall marketing performance, while also expanding that infrastructure to power AI-driven analytics tools. /p p You will join the Marketing Analytics team, working alongside an experienced Analytics Engineer who will be your closest technical reference. Responsibilities span data modeling, pipeline management, predictive analysis, and the design of machine-readable business context that makes AI agents accurate and trustworthy. This role collaborates closely with teams across the company (including Martech, Global Analytics, Product Development, and Sales Operations) to ensure data-driven insights effectively drive business growth. /p p This is a Remote – strong Brazil /strong position, meaning you can work from anywhere within the country. Please note that this role is only open to candidates in strong Brazil /strong . /p p nbsp; /p p strong YOUR IMPACT /strong /p ul li Build and maintain the marketing data layer, developing pipelines that transform raw marketing sources into dimensional models (following Medallion architecture) and delivering clean, report-ready tables for downstream analytics. /li li 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. /li li Drive reusable AI skills, tools, and workflows with guidance from senior engineers, empowering analysts and stakeholders to interact with governed data through natural language interfaces. /li li Establish AI quality assurance by running structured test cycles defined with the team to validate AI agent output accuracy, identify regressions, and maintain quality standards as models and data evolve. /li li Support and advance predictive analysis amp; attribution, assisting in statistical and predictive models for marketing funnel metrics while operating attribution models that measure channel and campaign contribution. /li li Ensure data reliability, governance, and documentation through continuous monitoring, data validation, adherence to responsible AI standards, and comprehensive version control in GitHub. /li li Collaborate closely with cross-functional teams—including Martech, Global Analytics, Product Development, and Sales Operations—to ensure high-impact data-driven insights. /li li Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking ti
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