Analytics Engineer

Join our Marketing Technology Team — we build and maintain Interactive Brokers' data, analytics, attribution, and measurement platforms. Our systems power marketing analytics, client acquisition measurement, campaign performance reporting, sales analytics, and customer engagement insights that support business growth globally.
You'll design data models, analytics solutions, and reporting frameworks that help marketing and sales teams optimize campaigns, improve attribution, and enhance the client acquisition lifecycle. You'll collaborate with marketers, analysts, data engineers, and business stakeholders to turn large volumes of marketing/sales data into actionable insights.
Responsibilities

Design and maintain scalable data models, semantic layers, and analytics datasets for marketing, sales, and BI initiatives
Build enterprise reporting/analytics solutions for campaign measurement, funnel analytics, attribution, lead conversion, budgeting, and forecasting
Develop ETL/ELT pipelines integrating marketing, CRM, web analytics, and sales data from multiple sources
Model and transform large-scale datasets in Snowflake and other enterprise data platforms
Partner with stakeholders to define KPIs, attribution methodologies, and reporting requirements
Build dashboards and self-service analytics using Tableau and other BI tools
Improve data quality, governance, and documentation across marketing/sales reporting
Analyze acquisition performance, lead conversion, retention, and campaign effectiveness to surface insights
Work with Data Engineering to optimize architecture and pipeline performance
Support data validation, testing, and troubleshooting for business-critical systems
Participate in requirements gathering, solution design, and deployment of marketing technology platforms

Required Skills

Master's degree in Computer Science, Data Analytics, Information Systems, Engineering, Statistics, Mathematics, or related field
3+ years in analytics engineering, BI, data warehousing, or related roles
Strong SQL and experience designing scalable data models in cloud data warehouses
Hands-on Snowflake experience (data modeling, performance optimization, analytics workloads)
Experience building ETL/ELT pipelines with large, complex datasets
Strong grasp of dimensional modeling and data warehousing best practices
Dashboard/reporting experience with Tableau or similar BI tools
Experience with AI-assisted development tools (Claude Code, Codex, or similar agentic tools)
Understanding of marketing/sales analytics, CRM systems, attribution, and conversion funnels
Experience integrating data from multiple systems, APIs, and third-party platforms
Familiarity with Python for data analysis and automation
Experience with source control (e.g., Bitbucket) and code review practices
Exposure to UNIX/Linux environments
Strong analytical and communication skills; able to translate business needs into technical solutions

Preferred Qualifications

Experience with marketing tech platforms, CDPs, web analytics, or digital advertising ecosystems
Experience building attribution models, marketing measurement frameworks, or acquisition analytics
Knowledge of experimentation methodologies, incrementality testing, or marketing mix modeling
Experience designing enterprise-scale analytics architectures and semantic models
Experience with lead lifecycle reporting, sales performance analytics, and executive reporting
Familiarity with data governance, metadata management, and data quality frameworks
Track record partnering directly with business stakeholders on KPIs and reporting solutions

Benefits

Competitive salary, performance bonus, and stock grants
401(k) with competitive company match
100% employer-paid medical premiums; generous dental & vision contributions
Wellness screenings, health coaches, and EAP counseling services
Up to 16 weeks paid parental leave
Company-paid life insurance, AD&D, and disability coverage
Healthcare, dependent care, and commuter FSAs
Quarterly fitness stipend
Education reimbursement and professional development support
Legal services, telehealth access, and voluntary insurance options
Backup child/adult care via Care.com
Daily lunch allowance and fully stocked kitchen