Senior Marketing Analytics Engineer (AI)

TL;DR

Senior Marketing Analytics Engineer (AI): Building and maintaining the marketing data infrastructure that powers campaign and marketing performance analytics, with an accent on predictive modeling, attribution measurement, and semantic-layer design for AI-driven analytics. Focus on developing governed dimensional data pipelines, forecasting funnel metrics, and validating AI agent outputs through structured testing and responsible AI metadata standards.

Location: Brazil (Remote)

Company

hirify.global is a workplace wellness platform connecting employees worldwide to fitness, mindfulness, therapy, nutrition, and sleep partners through one subscription.

What you will do

• Own the foundational marketing data layer: design, build, and maintain pipelines that transform raw marketing sources into dimensional models (Medallion architecture) for BI-ready tables.
• Develop predictive and statistical models to forecast marketing funnel metrics and identify opportunities for improvement.
• Design and implement marketing attribution models to measure channel and campaign contribution.
• Ensure data quality and governance via monitoring, validation, cleansing, and adherence to governance policies.
• Maintain a semantic layer for AI and natural-language analytics using LookML and/or dbt with enriched metadata and structured business context.
• Build reusable AI skills/workflows for governed data access and run AI quality assurance test cycles to prevent regressions as data and models evolve.

Requirements

• 3–5 years in analytics engineering, data engineering, business intelligence, or a closely adjacent technical role.
• Fluent English.
• Mandatory production-grade proficiency in Python and SQL.
• Experience with data warehousing concepts, ETL/ELT workflows, and orchestration tools (dbt, Airflow, or similar).
• Strong data modeling skills (dimensional modeling, data layering).
• Hands-on experience with LLMs and agentic workflows (designing agent context and building/testing AI-assisted pipelines in production).

Nice to have

• Marketing analytics domain knowledge (B2C/B2B funnels, attribution models, CRM, growth measurement).

Culture & Benefits

• Flexible First work model with hybrid and remote options; this role’s model can be discussed with the recruiter and hiring manager.
• Home office reimbursement to set up a remote workspace.
• Healthcare, dental, and life insurance.
• Paid time off: vacations after 6 months plus additional days off per year and an extra day for your birthday.
• 100% paid parental leave with an extended leave and ramp-back period for parents giving birth.
• Career growth support through learning platforms, interactive sessions, and personalized development roadmaps.

Hiring process

• Role discussion with recruiter and hiring manager to align on the work model and expectations.
• Evaluation focused on mandatory Python/SQL and hands-on LLM/agentic workflow experience.