Analytics Engineer - Marketing - Remote

Overview

The Analytics Engineer at Weedmaps will be a key technical contributor within our Data organization, focused Marketing & Growth. In this role, you will build and maintain data pipelines and analytics frameworks that power our marketing intelligence and growth initiatives. You will collaborate extensively with marketing, product, and data science teams to drive data-informed decision making across our customer acquisition and retention strategies. The ideal candidate combines strong technical skills with marketing domain knowledge and can translate business requirements into scalable data solutions that deliver measurable impact on our growth metrics.

As part of our Data organization, you will develop robust analytics systems that address unique challenges in our marketplace, including attribution modeling, customer acquisition cost calculation, lifetime value analysis, and marketing performance measurement. The explosive growth of the industry requires increasingly sophisticated analytics solutions that can scale with our business and comply with complex regulatory requirements.

In Short

• Build attribution models to track and analyze customer journeys across multiple touchpoints
• Develop standardized methodologies for calculating critical growth metrics (CAC, LTV, ROAS, etc.), merging in data from the customer data platform (e.g. Segment, Braze, etc)
• Create cohort analysis frameworks to measure retention and engagement over time
• Design and implement marketing dashboards that provide clear insights into performance
• Automate regular reporting workflows to reduce manual effort and increase data consistency
• Create self-service tools that empower marketing teams to access insights independently
• Partner with Growth to design and implement A/B tests (e.g. in Optimizely) for campaign performance
• Analyze marketing experiment results to identify opportunities for improving ROI
• Support campaign planning with historical data analysis and predictive insights
• Collaborate on marketing technology integrations to ensure complete data capture
• Build connectors between marketing platforms and our data warehouse
• Document marketing data schemas and maintain data dictionaries
• Develop and maintain marketing data pipelines using SQL within modern data stack tools (Snowflake, DBT)
• Create and document data models that transform raw marketing data into reliable, business-ready datasets
• Implement data quality checks and testing frameworks to ensure the accuracy and reliability of marketing analytics

Requirements

• 2+ years of experience in analytics engineering, data engineering, or similar technical role
• Strong understanding of marketing concepts and growth metrics
• Experience with modern data warehouse platforms, preferably Snowflake
• Expertise in SQL and data modeling with dbt
• Proficiency in Python

Benefits

• Physical Health benefits: Medical, Dental & Vision
• Mental Health benefits: Free access to CALM app for employees and dependents
• 401(k) Retirement Plan (with employer match contribution)
• Generous PTO, Paid Sick Leave, and Company Holidays
• Paid parental leave