Senior Analytics Engineer, Marketing Sciences
The Senior Analytics Engineer will architect and operate marketing data infrastructure, productionize predictive models, and enable attribution, experimentation, and customer activation. The role requires strong Snowflake, dbt, Python, SQL, and Segment expertise, plus experience with marketing data and cross-functional analytics initiatives.
About the job
Responsibilities
- Build and maintain scalable data pipelines ingesting marketing platform data from Google Ads and Meta, CRM data, and event streams.
- Productionize predictive models such as predictive lifetime value (pLTV) and churn risk.
- Architect pipelines for demand modeling and LTV:CAC reporting with standardized metrics.
- Support A/B testing and causal inference through reliable experiment logging and cohort assignment.
- Optimize the MarTech stack and maintain source-of-truth consistency across Iterable, HubSpot, Gong, Segment, and other platforms.
- Enable reverse ETL workflows that sync warehouse insights into product and marketing tools for real-time customer interventions.
Requirements
- Expert proficiency with Snowflake and dbt for modular, testable data transformations.
- Proficiency in Python and SQL.
- Experience handling semi-structured JSON API data from marketing sources across the ingestion-to-consumption lifecycle.
- Expertise designing, implementing, and managing Segment event pipelines.
- Ability to lead data architecture supporting metrics such as LTV, CAC, and ROAS.
- Experience working in Agile Scrum or Kanban environments with analysts, data scientists, and marketing stakeholders.
Nice-to-haves
- Experience with reverse ETL tools such as Census and Hightouch.
- Familiarity with real-time ETL using Kafka or AWS Kinesis.
- AWS DevOps experience with Terraform, Kubernetes, and Docker.
Compensation and Benefits
- Base salary range: $100,000–$125,000 USD.
- Medical, dental, vision, life, and disability insurance.
- 401(k) plan with company match.
- Flexible Time Off, wellbeing days, paid holidays, and summer Fridays.
- Mental health resources.
- Paid parental leave and Backup Care.
- Tuition reimbursement.
- Employee Resource Groups (ERGs).
Skills
Snowflake, dbt, Python, SQL, Segment, JSON, Google Ads, Meta Ads, Reverse Etl, Kafka, Aws Kinesis, Terraform, Kubernetes, Docker
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