Analytics Engineer (Hybrid)

Weedmaps•New York, NY

1d•Hybrid

About The Position

Analytics Engineer (Hybrid) Overview: 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, 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. The impact you'll make:

Requirements

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

Nice To Haves

Experience with business intelligence tools, preferably Sigma
E-commerce or marketplace business experience preferred
Regulated industry experience - nice to have

Responsibilities

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

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