Senior Analytics Engineer | Partners

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. 

As a Senior Analytics Engineer within Wellhub's Partner Data & Insights team in Brazil, you'll sit at the intersection of data engineering, applied AI, and business analytics. This is a highly autonomous, technically deep role focused on building and evolving the data foundations that power decision-making across our Partners business.

You'll design, build, and maintain robust data pipelines in a data mesh architecture, model our semantic/BI layer, and create AI-powered capabilities — like data/AI agents — that scale the impact of the whole team. You'll work closely with analysts and stakeholders, translating vague, fast-moving needs into the reliable pipelines that feed our data assets, and bringing an analytical lens to the work when it helps. You'll own technical work end-to-end, from ambiguous problem to production-grade solution.

• Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture, ensuring reliability, scalability, and clear ownership.
• Evolve existing data assets and processes, raising the bar on data standards, definitions, and governance within the Partners business area.
• Build AI-powered capabilities — data/AI agents, reusable skills, and natural-language interfaces — that amplify the team's productivity.
• Model and enrich our BI semantic layer (Looker/LookML preferred) so both humans and AI tools can reliably consume it.
• Partner with Data Analysts, Data Engineers, and business stakeholders to turn loosely defined needs into clear, well-scoped technical work
• Communicate complex technical concepts and trade-offs clearly to non-technical audiences.
• 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 time off, and finding work-life wellness.

• 3-5+ years in analytics engineering, data engineering, or closely related fields, with strong hands-on experience in complex pipelines, data modeling, and data architecture.
• Excellent SQL and production-grade Python (automation pipelines, not just exploratory code).
• Strong command of the full data lifecycle; experience in a data mesh (or similarly decentralized) architecture is a strong plus.
• Hands-on experience with a semantic layer or BI modeling tool (LookML/Looker strongly preferred).
• Practical knowledge of AI/LLMs: how LLMs consume structured context, and experience designing context for AI agents (writing instructions, scoping boundaries, building agent capabilities).
• Strong autonomy and organization — thrives in unstructured, high-demand environments and prioritizes ruthlessly.
• Strong execution and ownership, driving work end-to-end from ambiguous problem to reliable solution.
• Advanced English written and verbal communication skills.

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 LLMs are mandatory requirements.

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. 

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