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Day 7
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Brazil (Remote)
Actively hiring, first seen by us 7 days agoYou 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. This is a Remote – Brazil position, meaning you can work from anywhere within the country. Please note that this role is only open to candidates in Brazil. YOUR IMPACT
Listed location: Brazil (Remote)Read the full posting
Build and maintain marketing data pipelines into dimensional models (Medallion architecture)
Maintain LookML/dbt data models enriched with business context for AI agents
Run test cycles to validate AI agent output accuracy and catch regressions
developing pipelines that transform raw marketing sources into dimensional models (following Medallion architecture)
Maintain and extend BI data models (LookML and/or dbt preferred) enriched with metadata, business context, and structured definitions
Establish AI quality assurance by running structured test cycles defined with the team to validate AI agent output accuracy
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 7
Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
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- An analytics or data engineer with solid experience in analytics engineering, data engineering, business intelligence, or a closely adjacent technical role. - A technical problem solver with solid in-depth knowledge of Python and SQL, possessing the ability to write clean, production-grade data pipelines rather than one-off scripts. - An engineer well-versed in modern data architecture, familiar with data warehousing concepts, ETL/ELT workflows, orchestration tools (dbt, Airflow, or similar), and dimensional modeling.
- An analytical thinker with nice-to-have exposure to AI agent context design (glossaries, structured behavioral rules) and marketing analytics domain knowledge (funnels, attribution, CRM, growth). We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. For this specific role, please note that prior experience in SQL, Python, and hands-on experience with LLMs and agentic workflows are mandatory requirements. WHAT WE OFFER YOU
- 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. - 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. - Build reusable AI skills, tools, and workflows with guidance from senior engineers, empowering analysts and stakeholders to interact with governed data through natural language interfaces.
- A technical problem solver with solid in-depth knowledge of Python and SQL, possessing the ability to write clean, production-grade data pipelines rather than one-off scripts. - An engineer well-versed in modern data architecture, familiar with data warehousing concepts, ETL/ELT workflows, orchestration tools (dbt, Airflow, or similar), and dimensional modeling. - A practitioner with hands-on experience in semantic layer tools (Looker/LookML strongly preferred; Tableau, PowerBI, or similar welcome).
- An engineer well-versed in modern data architecture, familiar with data warehousing concepts, ETL/ELT workflows, orchestration tools (dbt, Airflow, or similar), and dimensional modeling. - A practitioner with hands-on experience in semantic layer tools (Looker/LookML strongly preferred; Tableau, PowerBI, or similar welcome). - A curious builder with hands-on experience in applied AI, including LLMs and agentic workflows (designing agent context, AI-assisted pipeline development, or LLM-based production tools).
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We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Your wellbeing, our mission. Join a company shaping a healthier world.
GET TO KNOW US
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.
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.
Join us in redefining the future of wellbeing!
THE OPPORTUNITY
We are hiring a Marketing Analytics Engineer (AI) to our Marketing team in Brazil!
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.
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.
This is a Remote – Brazil position, meaning you can work from anywhere within the country. Please note that this role is only open to candidates in Brazil.
YOUR IMPACT
WHO YOU ARE
We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. For this specific role, please note that prior experience in SQL, Python, and hands-on experience with LLMs and agentic workflows are mandatory requirements.
WHAT WE OFFER YOU
With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life.
Our flexible benefits program allows you to customize some of the benefits, according to your needs!
Our benefits include:
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. Learn more about our shared culture and values here.
Want to see what it’s really like to work here? Follow us on Instagram @lifeatwellhub and watch our team video on YouTube!
Diversity, Equity, and Belonging at Wellhub
We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong.
Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.
Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here.
Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos.
#LI-REMOTE
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Brazil (Remote)
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.
Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos. #LI-REMOTE
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