{"id":3361575,"url":"https://alion.io/job/wellhub-marketing-analytics-engineer","title":"Marketing Analytics Engineer","company":{"id":3904,"name":"Wellhub","domain":"wellhub.com","url":"https://alion.io/company/wellhub","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":9,"ghost_share":0,"stale_share":0.444,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["São Paulo, Brazil","Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"LLM","optional":false},{"name":"Looker","optional":false},{"name":"LookML","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-27T17:34:37Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-02T06:35:13Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Your wellbeing, our mission. Join a company shaping a healthier world.\nGET TO KNOW US\nAt 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.\nWe 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. \nJoin us in redefining the future of wellbeing!\nTHE OPPORTUNITY\nWe are hiring a Marketing Analytics Engineer (AI) to our Marketing team in Brazil!\nThe 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.\nYou 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.\nThis 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.\nYOUR IMPACT\nBuild 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.\nMaintain 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.\nDrive reusable AI skills, tools, and workflows with guidance from senior engineers, empowering analysts and stakeholders to interact with governed data through natural language interfaces.\nEstablish 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.\nSupport and advance predictive analysis & attribution, assisting in statistical and predictive models for marketing funnel metrics while operating attribution models that measure channel and campaign contribution.\nEnsure data reliability, governance, and documentation through continuous monitoring, data validation, adherence to responsible AI standards, and comprehensive version control in GitHub.\nCollaborate closely with cross-functional teams-including Martech, Global Analytics, Product Development, and Sales Operations-to ensure high-impact data-driven insights.\nLive 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.\n\nWHO YOU ARE\nAn analytics or data engineer with solid experience in analytics engineering, data engineering, business intelligence, or a closely adjacent technical role.\nA 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.\nAn engineer well-versed in modern data architecture, familiar with data warehousing concepts, ETL/ELT workflows, orchestration tools (dbt, Airflow, or similar), and dimensional modeling.\nA practitioner with hands-on experience in semantic layer tools (Looker/LookML strongly preferred; Tableau, PowerBI, or similar welcome).\nA 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).\nA clear, collaborative communicator who enjoys working across both technical and non-technical stakeholders and is fluent in English to collaborate within a globally distributed team.\nAn 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).\nWe 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.\nWHAT WE OFFER YOU\nWith 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. \nOur flexible benefits program allows you to customize some of the benefits, according to your needs!\nOur benefits include:\nWELLHUB: 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.\nWELLZ: 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. \nHEALTHCARE: Health, dental, and life insurance. \nFLEXIBLE 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. \nFLEXIBLE 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.\nPAID 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!\nPAID 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. \nCAREER 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.\nCULTURE: 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. \nWant to see what it’s really like to work here? Follow us onInstagram@lifeatwellhub and watch our team video onYouTube!\nDiversity, Equity, and Belonging at Wellhub\nWe aim to create a collaborative, supportive, and inclusive space where everyone knows they belong. \nWellhub 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.\nOur 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.\nQuestions on how we treat your personal data? 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