Data Analyst - Automation & AI (Salesforce CRM/Pardot, Google Analytics 4, Analytics Studio, Domo, N8N)
About the role
About Acquia
Acquia empowers the world’s most ambitious brands to create digital customer experiences that matter. With open source Drupal at its core, the Acquia Digital Experience Platform (DXP) enables marketers, developers, and IT operations teams at thousands of global organizations to rapidly compose and deploy digital products and services that engage customers, enhance conversions, and help businesses stand out. Headquartered in the U.S., Acquia is a Great Place to Work-CertifiedTM company in India, is listed as one of the world’s top software companies by The Software Report, and is positioned as a market leader by the analyst community.
About the Role
Acquia is seeking a Data Analyst - Automation & AI who thinks like a builder. As B2B marketing operations evolves from “managing tools” to “designing agent workflows,” this role sits at the forefront of that shift — combining strong analytical skills with hands-on automation and AI expertise to make our marketing engine smarter, faster, and more scalable. You will contribute to automating marketing operations functions, streamline processes through intelligent tooling, and surface the insights that drive global marketing decisions. You will work closely with our Marketing, Revenue Operations, and BI teams, leveraging Salesforce, Pardot, Google Analytics 4, Analytics Studio, Domo, N8N, Claude, and Gemini to connect data, reduce manual work, and build workflows that scale. The ideal candidate has a bias for building: someone who spots an inefficient process and reaches for an automation before a spreadsheet, who is genuinely excited about AI — not as a trend, but as a practical tool for outcomes.
Key Responsibilities
Marketing Analytics & Reporting
- Build and maintain dashboards and reports in Domo and Analytics Studio that provide real-time visibility into marketing KPIs — including pipeline contribution, funnel performance, campaign ROI, and lead generation.
- Standardize reporting methodology and data definitions to ensure consistency and trust across the marketing organization.
- Analyze customer behavior and engagement data to surface insights around segmentation, targeting, and personalization opportunities.
- Help implement and maintain tracking infrastructure across marketing platforms to ensure reliable data capture and accurate attribution.