Senior Marketing Analytics & Measurement Lead

Intuit’s Global Business Solutions Group (GBSG) is devoted to creating solutions to meet the needs and improve the chances of success for these entrepreneurs with a portfolio of solutions ranging from mileage tracking to invoicing, payroll to accounting, payments and capital.

We are looking for a senior individual contributor to lead advanced marketing analytics, signal infrastructure, and performance measurement across our platform. This role sits at the intersection of data engineering, applied data science, and marketing performance, with a strong focus on enabling better campaign optimisation, attribution, and full‑funnel visibility—especially in a B2B context.

This is a hands‑on role for someone who thrives in complex data environments, enjoys building scalable measurement foundations, and can translate data into actionable performance insights for marketing, product, and growth teams.

• Lead the build and optimization of CAPI and server‑side signal capabilities to improve campaign optimization, attribution accuracy, and measurement reliability.
• Partner closely with product, data science, and marketing teams to ensure signal implementation is correct, scalable, and privacy‑safe.

• Build and maintain performance dashboards covering:
  • Creative insights and diagnostics
  • Pre‑testing frameworks
  • Post‑campaign performance analysis
• Develop analytics that explain drivers of performance, not just outcomes, enabling faster optimization and learning.

• Own ongoing campaign performance dashboards updating key delivery, efficiency, and outcome metrics across channels, platforms and product portfolios.
• Ensure data accuracy, consistency, and decision‑readiness for stakeholders across marketing and leadership.

• Operate within a platform‑level advanced analytics environment (Meta’s AA; Google’s Big Query / ADH), executing complex queries and large‑scale data processing to perform in‑depth performance diagnostics or cross‑channel measurement.
• Design scalable analytical frameworks that support experimentation, deep dives, and long‑term learning.
• Build production‑grade analytics workflows rather than ad‑hoc analysis.

• Build and maintain end‑to‑end B2B funnel reporting, from leads through MQL, SAL, SQL, and conversion outcomes.
• Establish and maintain data pipelines for B2B attribution reporting, integrating marketing, CRM, and downstream conversion systems.
• Partner with Marketing Ops and Sales Ops to align on definitions, data quality, and reporting logic.

• 8+ years of experience in data engineering, data science, or advanced analytics roles, ideally supporting marketing, growth, or revenue organizations.
• Bachelor’s degree in quantitative field such as CS; DS;
  Statistics;
  Applied Mathematics or closely related disciplines
• Strong hands‑on proficiency in SQL and Python for complex analytics, data processing, and automation.
• Demonstrated experience designing and maintaining data pipelines (ETL/ELT) for analytics, attribution, or performance measurement use cases.
• Experience working in modern data warehouse and lake environments (e.g., Big Query, Snowflake, Redshift, Databricks, or equivalent).
• Hands‑on experience with event‑level data, signal ingestion, and data normalization (e.g., CAPI or similar server‑side tracking frameworks).
• Proven ability to build scalable, production‑grade dashboards and analytical frameworks, not just reporting outputs.
• Strong understanding of marketing and growth data models, including campaign performance, attribution logic, and funnel analysis.
• Comfortable operating as a senior individual contributor with high ownership and autonomy.

• Master degree or higher in quantitative fields such as CS; DS;
  Statistics;
  Applied Mathematics or related disciplines.
• Background in applied data science, including experimentation, statistical analysis, or modeling applied to marketing or growth problems.
• Experience with machine learning techniques (e.g., regression, classification,…