• Build and own marketing data platform, ensuring accurate tracking, attribution, and reporting across all marketing and revenue channels • Collect data and perform data modeling in BigQuery and dashboarding in Looker Studio • Create and maintain dashboards in Looker Studio, ensuring data is accurate, actionable, and trusted by stakeholders • Own end-to-end marketing tracking and attribution using GA4 and Google Tag Manager (GTM) • Design and maintain accurate attribution across marketing channels (Google Ads, YouTube, LinkedIn, email, web platform) • Build and maintain a centralized marketing data warehouse in BigQuery, integrating data from GA4, HubSpot, and other sources • Develop and maintain SQL-based data models to represent user journeys, funnel stages, and campaign performance • Configure and maintain HubSpot CRM, including lifecycle stages, properties, and pipelines • Build and maintain end-to-end funnel reporting • Identify and resolve data discrepancies across systems, ensuring consistency • Support marketing campaign execution with proper tracking and performance monitoring • Create and maintain tracking documentation, including event maps, UTM rules, and dashboard definitions • Establish QA processes and launch checklists to ensure campaigns are tracked and reported. • Deliver insights and recommendations on marketing performance, highlighting optimization opportunities.

• You design and implement data models in modern Data Warehouses and Data Lakehouses, ensuring analytical data is provided reliably and with high performance • You build and maintain data transformation pipelines with dbt and ensure data flows are documented, tested and version-controlled • You develop dimensional data models (Kimball Star Schema, Snowflake Schema, Data Vault 2.0) and integrate diverse data sources into a consistent analytical data set • You implement data quality checks (e.g. Great Expectations, dbt tests) and contribute to the maintenance of data catalogs and data lineage • You optimize database performance and work with modern table formats such as Delta Lake and Apache Iceberg • You work closely with data analysts, data scientists and business units, translating business requirements into scalable data models • You take responsibility for (sub)projects, structure data processes and ensure successful implementation • Thanks to your strong communication skills and high customer focus, you make a major contribution to the success of our projects — whether in meetings, workshops or presentations

• Design fault-tolerant dbt models to synthesize data from multiple sources into mart tables • Design and implement Sigma dashboards and Streamplit apps to provide clear insights into performance • Automate regular reporting workflows to reduce manual effort and increase data consistency • Create self-service tools that empower business teams to access insights independently • Analyze experiment results to identify opportunities for improving ROI • Develop and maintain data pipelines using SQL within modern data stack tools (Snowflake, DBT, Metaplane) • Create and document data models that transform raw data into reliable, business-ready datasets with accompanying dictionaries and testing • Implement data quality checks and testing frameworks to ensure the accuracy and reliability of analytics

Role Description The Analytics Engineer at Weedmaps will be a key technical contributor within our Data organization, supporting various aspects of the business. In this role, you will build and maintain data pipelines and analytics frameworks to answer business questions and enable root cause problem solving. You will collaborate extensively with business, engineering, 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 e-commerce 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 user journey exploration and customer and product analytics. The explosive growth of the cannabis industry requires increasingly sophisticated analytics solutions that can scale with our business and comply with complex regulatory requirements. - Design fault-tolerant dbt models to synthesize data from multiple sources into mart tables - Design and implement Sigma dashboards and Streamplit apps to provide clear insights into performance - Automate regular reporting workflows to reduce manual effort and increase data consistency - Create self-service tools that empower business teams to access insights independently - Analyze experiment results to identify opportunities for improving ROI - Develop and maintain data pipelines using SQL within modern data stack tools (Snowflake, DBT, Metaplane) - Create and document data models that transform raw data into reliable, business-ready datasets with accompanying dictionaries and testing - Implement data quality checks and testing frameworks to ensure the accuracy and reliability of analytics Qualifications - 4+ years of experience in data engineering, or similar technical role - 2+ years of experience in analytics engineering - Experience with modern data warehouse platforms, preferably Snowflake - Expertise in SQL and data modeling with dbt - Proficiency in Python Requirements - Experience with business intelligence tools, preferably Sigma - E-commerce or marketplace business experience preferred - Regulated industry experience - nice to have Benefits - Physical Health (Medical, Dental & Vision) - 100% employer-paid premium for employees - Up to 80% coverage for dependents - Company HSA contribution with the High Deductible Health Plan - 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution) - Basic Life, Voluntary Life and AD&D Insurance options - Supplemental, voluntary benefits - Student Loan Repayment/529 Education Savings with a monthly company contribution - FSA (Medical, Dependent, Transit and Parking) - Voluntary Life and AD&D Insurance - Critical Illness Insurance - Accident Insurance - Short- and Long-term Disability Insurance - Pet Insurance - Identity theft protection - Legal access to a network of attorneys - PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown) - Paid parental leave