Marketing Data & Analytics Lead

Marketing Data & Analytics Lead (BI + Data Engineering)

We are a fast-growing B2B technology company enabling enterprise customer growth globally. In addition to scaling our core business, we have launched a strategic investment arm focused on high-growth B2C companies.

We actively partner with our portfolio companies — advising on marketing initiatives, performance optimization, and scalable growth strategies — while continuing to support and expand our B2B customer base.

We are seeking a highly technical and business-driven Marketing Data & Analytics Lead to own the full marketing data stack, from ingestion and transformation to performance analysis and executive reporting.

This role combines data engineering, BI development, and marketing performance analytics
. You will design scalable data pipelines, build reliable attribution and ROI models, and deliver actionable insights that directly influence marketing investment and growth strategy.

This is a hands‑on role requiring both engineering depth and business acumen.

• Design, build, and maintain marketing data pipelines (CRM, paid media platforms, product analytics, finance systems, etc.)
• Ensure data accuracy, consistency, and governance across marketing metrics
• Partner with Engineering/Data teams to optimize warehouse architecture (Snowflake, Big Query, Redshift, etc.)
• Implement automated reporting and KPI monitoring systems

• Build robust CAC, LTV, payback, and contribution margin models
• Develop multi‑touch attribution and channel performance frameworks
• Identify trends, anomalies, and optimization opportunities
• Support forecasting and scenario modeling for quarterly planning

• Standardize KPI definitions across Marketing and Finance
• Deliver executive‑ready performance reports and board materials
• Enable self‑serve analytics for the broader marketing team

• Act as the primary data partner to Marketing leadership
• Advise on budget allocation and channel mix optimization
• Translate complex analyses into clear, actionable recommendations
• Support go‑to‑market and growth strategy with data‑backed insights

• 6–10+ years in Marketing Analytics, Data Engineering, or Business Intelligence
• Advanced SQL skills (comfortable building complex queries and models)
• Experience building ETL pipelines and working with data warehouses
• Experience with DBT, Airflow, or similar workflow orchestration tools
• Deep understanding of marketing metrics (CAC, LTV, ROAS, funnel conversion, retention)
• Experience working cross‑functionally with Marketing, Finance, and Product
• Strong data modeling and forecasting skills