Senior Marketing Analytics Engineer

📋 Description

• Data Engineering & Architecture — Build and maintain the marketing data layer and pipelines.
• Predictive Analysis — Develop models to forecast funnel metrics.
• Marketing Attribution — Design models to measure channel contributions.
• Data Quality & Governance — Monitor, validate, cleanse data; enforce governance.
• Documentation & Versioning — Document data ecosystem; version in GitHub.
• Semantic Layer for AI — Extend BI models (LookML/dbt) for AI use.

🎯 Requirements

• 3–5 years in analytics engineering, data engineering, BI, or related roles.
• Experience working cross-functionally with technical and non-technical stakeholders.
• Fluent English.
• Python and SQL proficiency for production-grade data work.
• Experience with data warehousing, ETL/ELT, and orchestration tools (dbt, Airflow).
• Strong data modeling skills (dimensional modeling).

🎁 Benefits

• WELLHUB: Free Gold+ membership with gyms, digital programs, and family add-on.
• WELLZ: Emotional wellbeing program with therapy and on-demand content.
• HEALTHCARE: Health, dental, and life insurance.
• FLEXIBLE WORK: Hybrid and remote options with home office reimbursement.
• PAID TIME OFF: Vacations after 6 months; extra days per year.
• PAID PARENTAL LEAVE: 100% paid parental leave for new parents.