Trading Analytics Developer responsible for advancing data and AI infrastructure in crypto trading. Bridging quantitative development and AI platform engineering to drive insights and performance.
About the role
- Analytics Engineer at Weedmaps responsible for building data pipelines and analytics frameworks. Collaborating with teams to drive data-informed decisions across customer acquisition and retention strategies.
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
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
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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Data Analyst responsible for transparency and insights across all business areas at Rosental. Developing dashboards and establishing KPI frameworks to drive data - driven decisions.
Analytics Engineer preparing data models and ensuring data quality for it's Prodigy’s innovative tech offerings. Collaborating with stakeholders to enhance data processes and improve tool efficiency in a hybrid setting.
BI Analytics Engineer creating interactive dashboards and data models for healthcare services. Collaborating with teams to ensure data - driven decision - making and compliance with governance standards.
Data Analytics Engineer responsible for decision models and data pipelines at Midas. Collaborating with teams to ensure accurate data for enhancing user investment experiences.
Senior Analytics Engineer at Solar Landscape designing analytics strategies and implementing data solutions. Collaborating with teams to transform data into impactful insights for decision - making.
Data Analyst role focusing on analytics engineering for Kraken Utilities. Collaborating with product teams and clients to optimize data usage in the energy sector.
Analytics Engineer Senior responsible for creating and optimizing analytical models using Power BI. Interacting with stakeholders to translate business requirements into efficient data models.
Data Analyst transforming data into actionable insights for decision - making across Product, Growth, Operations, and Finance at Gaia.
Senior Healthcare Analytics Engineer at MD Live responsible for designing cloud - native data architectures and implementing healthcare data solutions. Leading engineering efforts to improve data accuracy and business alignment.