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Wellhub

Corporate fitness and wellness subscription platform

Analytics Engineer (AI) - Martech

Data EngineeringUpdated on Nov 13
Full-timeRemote in BrazilNo salary listed

About the Job

Requirements

  • Solid experience in analytics engineering, data engineering, business intelligence, or a closely adjacent technical role.
  • In-depth knowledge of Python and SQL, including the ability to write clean, production-grade data pipelines.
  • Knowledge of modern data architecture, data warehousing concepts, ETL/ELT workflows, orchestration tools such as dbt or Airflow, and dimensional modeling.
  • Hands-on experience with semantic layer tools; Looker/LookML is strongly preferred, and Tableau, Power BI, or similar tools are acceptable.
  • Hands-on experience in applied AI, including large language models and agentic workflows, such as designing agent context, AI-assisted pipeline development, or LLM-based production tools.
  • Fluency in English to collaborate within a globally distributed team.
  • Prior experience with SQL and Python, and hands-on experience with LLMs and agentic workflows, are mandatory.

Responsibilities

  • Build and maintain the marketing data layer, developing pipelines that transform raw marketing sources into dimensional models following Medallion architecture and deliver clean, report-ready tables for downstream analytics.
  • Maintain and extend business intelligence data models, preferably using LookML and/or dbt, with metadata, business context, and structured definitions that make them consumable by AI agents and natural-language analytics interfaces.
  • Build reusable AI skills, tools, and workflows with guidance from senior engineers, enabling analysts and stakeholders to interact with governed data through natural-language interfaces.
  • Run structured test cycles defined with the team to validate AI agent output accuracy, identify regressions, and maintain quality standards as models and data evolve.
  • Support development of statistical and predictive models for marketing funnel metrics, and help maintain and operate attribution models that measure channel and campaign contribution.
  • Ensure data reliability, governance, and documentation through continuous monitoring, data validation, adherence to responsible AI standards, and comprehensive version control in GitHub.
  • Collaborate with Martech, Global Analytics, Product Development, and Sales Operations to ensure data-driven insights support business growth.

Desired Qualifications

  • Exposure to AI agent context design, including glossaries and structured behavioral rules.
  • Marketing analytics domain knowledge, including funnels, attribution, customer relationship management, and growth.

About the Company

Wellhub

Corporate fitness and wellness subscription platform

Wellhub offers a subscription-based fitness and wellness platform that gives members access to a broad network of gyms, studios, live online classes, wellness apps, and virtual personal training, designed for corporate employee benefits programs. Users pick a tiered plan (Starter to Diamond) with monthly fees that scale by access level, and employers may subsidize or cover costs. Revenue comes from subscriptions and corporate partnerships that fund employee memberships. Wellhub differentiates itself by combining a large, flexible network with tailored employer-based benefits, making it easier for organizations to customize plans to fit different budgets and health goals with the aim of helping people stay healthier through convenient access.

Company size
1,001-5,000
Company stage
Series F
Total funding
$795M
Headquarters
New York City, New York
Founded
2012

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