The Role
Designs and maintains marketing and sales data models, semantic layers, ETL/ELT pipelines, analytics datasets, and enterprise reporting solutions. Develops attribution, funnel, campaign, and conversion analytics using Snowflake, Tableau, SQL, and Python. Partners with marketing, sales, data engineering, and business stakeholders to define KPIs, improve data quality and governance, optimize platforms, and deliver self-service insights.
Summary Generated by Built In
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
Skills Required
- Master's degree in Computer Science, Data Analytics, Information Systems, Engineering, Statistics, Mathematics, or a related field
- 3+ years of experience in analytics engineering, business intelligence, data warehousing, or related roles
- Strong SQL skills and experience designing scalable data models in cloud data warehouses
- Hands-on Snowflake experience, including data modeling, performance optimization, and analytics workloads
- Experience building ETL/ELT pipelines with large, complex datasets
- Strong understanding of dimensional modeling and data warehousing best practices
- Dashboard and reporting experience with Tableau or similar BI tools
- Experience with AI-assisted development tools such as Claude Code, Codex, or similar agentic tools
- Understanding of marketing and 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 and code review practices, such as Bitbucket
- Exposure to UNIX/Linux environments
- Strong analytical and communication skills with the ability to translate business needs into technical solutions
- Experience with marketing technology 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
Interactive Brokers Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Interactive Brokers and has not been reviewed or approved by Interactive Brokers.
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Healthcare Strength — Health coverage is described as comprehensive, with company-covered premiums available in some plans, plus dental and vision. Wellness incentives and accessible care benefits contribute to the perceived value of the package.
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Strong & Reliable Incentives — Total compensation commonly includes discretionary bonuses and stock grants that enhance earnings. These elements are frequently cited as meaningful parts of overall pay.
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Pay Growth & Progression — Annual pay increases are mentioned across multiple roles. This supports a perception of steady early-stage progression.
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The Company
What We Do
Rated #1 Best Online Broker in 2022 for 5 consecutive years by Barron's. Interactive Brokers Group (Nasdaq: IBKR) and its predecessor companies have been building trading technology for over 44 years. Interactive Brokers Group’s consolidated equity capital exceeds $10 billion. Throughout its history, the company’s mission has remained unchanged: Create technology to provide liquidity on better terms. Compete on price, speed, size, diversity of global products and advanced trading tools. Interactive Brokers LLC is a member of NYSE, FINRA, SIPC. For more information, visit: ibkr.com
