Summary
✨ AI‑Generated
An Analytics Engineer is sought to design scalable data models, semantic layers, analytics datasets, and reporting frameworks supporting marketing and sales decision-making. The role involves building ETL/ELT pipelines and analytics solutions for campaign measurement, attribution, funnel performance, lead conversion, budgeting, and forecasting, while working closely with analysts, data engineers, marketers, and business stakeholders.
Highlights
Analytics engineering role focused on turning large-scale marketing and sales data into actionable business insights. The position offers ownership of scalable data models, semantic layers, analytics datasets, reporting solutions, attribution, funnel analysis, forecasting, and data pipelines while collaborating with cross-functional stakeholders.
Description
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 initiativesBuild enterprise reporting/analytics solutions for campaign measurement, funnel analytics, attribution, lead conversion, budgeting, and forecastingDevelop ETL/ELT pipelines integrating marketing, CRM, web analytics, and sales data from multiple sourcesModel and transform large-scale datasets in Snowflake and other enterprise data platformsPartner with stakeholders to define KPIs, attribution methodologies, and reporting requirementsBuild dashboards and self-service analytics using Tableau and other BI toolsImprove data quality, governance, and documentation across marketing/sales reportingAnalyze acquisition performance, lead conversion, retention, and campaign effectiveness to surface insightsWork with Data Engineering to optimize architecture and pipeline performanceSupport data validation, testing, and troubleshooting for business-critical systemsParticipate 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 field3+ years in analytics engineering, BI, data warehousing, or related rolesStrong SQL and experience designing scalable data models in cloud data warehousesHands-on Snowflake experience (data modeling, performance optimization, analytics workloads)Experience building ETL/ELT pipelines with large, complex datasetsStrong grasp of dimensional modeling and data warehousing best practicesDashboard/reporting experience with Tableau or similar BI toolsExperience with AI-assisted development tools (Claude Code, Codex, or similar agentic tools)Understanding of marketing/sales analytics, CRM systems, attribution, and conversion funnelsExperience integrating data from multiple systems, APIs, and third-party platformsFamiliarity with Python for data analysis and automationExperience with source control (e.g., Bitbucket) and code review practicesExposure to UNIX/Linux environmentsStrong 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 ecosystemsExperience building attribution models, marketing measurement frameworks, or acquisition analyticsKnowledge of experimentation methodologies, incrementality testing, or marketing mix modelingExperience designing enterprise-scale analytics architectures and semantic modelsExperience with lead lifecycle reporting, sales performance analytics, and executive reportingFamiliarity with data governance, metadata management, and data quality frameworksTrack record partnering directly with business stakeholders on KPIs and reporting solutions
Benefits
Competitive salary, performance bonus, and stock grants401(k) with competitive company match100% employer-paid medical premiums; generous dental & vision contributionsWellness screenings, health coaches, and EAP counseling servicesUp to 16 weeks paid parental leaveCompany-paid life insurance, AD&D, and disability coverageHealthcare, dependent care, and commuter FSAsQuarterly fitness stipendEducation reimbursement and professional development supportLegal services, telehealth access, and voluntary insurance optionsBackup child/adult care via Care.comDaily lunch allowance and fully stocked kitchen
