Analytics Engineer (Hybrid)

Job Description

Key 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
• Create and document data models that transform raw data into reliable, business-ready datasets
• 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 & Perks

• 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

Job Details