A company that builds advanced marketing solutions that help brands scale fast is looking for a hands-on data leader to own its BI/BA and data engineering stack end-to-end, while driving commercial insights across CRM, player acquisition, value, and risk. .

The company works with leading companies in high-performance industries, supporting their growth across the entire funnel - from acquisition to retention. Its team specializes in performance marketing, paid social, and large-scale campaign management, operating across global markets and high budgets.

With a strong focus on data, speed, and continuous optimization, the company enables its partners to launch, test, and scale campaigns that drive real results.

This role sits at the intersection of data infrastructure, analytics, and revenue optimization. You will lead the BA/BI team, build scalable data pipelines, and work closely with CRM, Product, Fraud, and Marketing teams to directly impact revenue, player experience, and risk.

Key Responsibilities

Data Infrastructure & Engineering

• Design, build, and maintain scalable data pipelines (real-time + batch)
• Own the data stack (warehouse, ETL/ELT, event tracking, data quality)
• Ensure clean, reliable, and timely data across all core systems
• Drive migration/improvements (e.g., Snowflake, real-time streaming)

BI & Analytics Leadership

• Lead and scale the BI/BA team
• Own core business dashboards (GGR, NGR, LTV, retention, cohorts)
• Move from reporting to actionable insights
• Optimize current process using AI and Automation

Player Value & Monetization Analytics

• Build and own LTV models, churn and segmentation
• Analyze player behavior and monetization drivers
• Support CRM with bonus optimization and targeting
• Improve player acquisition measurement and attribution
• Improve conversion funnels

Fraud, Abuse & Risk Analytics

• Detect bonus abuse, betting patterns, and fraud
• Build detection models and rules
• Support automated risk decisioning

Experimentation & Attribution

• Own A/B testing and measurement
• Connect attribution with on-site behavior and revenue
• Build full-funnel visibility

AI & Modeling

• Apply ML/AI for LTV, churn, offer optimization, and risk
• Design and maintain feature pipelines using behavioral, transactional, and gameplay data

Requirements

• 5+ years in Data / BI / Data Engineering
• Gaming or high-volume B2C experience preferred
• Experience in both engineering and analytics
• Technical Skills
• Strong SQL
• Python
• Experience with Snowflake, Redshift, or BigQuery
• ETL/ELT and data modeling
• Real-time processing (advantage)