About the Role
This role will design, manage, and enhance the data and reporting infrastructure that drives marketing analytics, delivering automated, reliable, and high-quality insights in collaboration with marketing, RevOps, and analytics teams.
Requirements
- 4 to 7 years of experience in business intelligence, analytics engineering, or a closely related discipline
- Advanced proficiency in SQL and a proven track record working with large-scale datasets
- Demonstrated experience creating complex dashboards using platforms such as Tableau, Power BI, Looker, or Qlik
- Hands-on experience with marketing and CRM systems including Salesforce, Marketo, and Google Analytics
- Solid grasp of data modeling principles and data transformation methodologies
- Experience designing reporting solutions that are scalable and automated
- Exceptional attention to detail and strong analytical problem-solving abilities
- Working knowledge of tools in the modern data stack, such as dbt, Snowflake, or BigQuery
Nice to Have
- Experience using Python or comparable languages for data processing or workflow automation
- Familiarity with AI/ML tools or integrating machine learning workflows into analytics pipelines
- Background in attribution modeling and analyzing customer journey data
YOUR IMPACT
This role will build, manage, and optimize the data and reporting infrastructure that powers marketing analytics. Responsibilities include developing scalable dashboards, ensuring data quality, and enabling self-service analytics across the organization. The engineer will collaborate with marketing, RevOps, and analytics teams to deliver reliable, automated reporting solutions and help advance analytics capabilities through automation, data modeling, and AI-driven insights.
