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