Lead GTM Analytics Engineer

DigiCert is a global leader in intelligent trust, and they are seeking a Lead GTM Analytics Engineer to own the data model that powers Valimail’s go-to-market execution across various teams. This role involves designing scalable data structures and delivering insights that influence GTM strategy and execution.

Responsibilities:

• Design, build, and own the end-to-end GTM data model, including lifecycle stages, funnel metrics, attribution logic, forecasting signals, scoring inputs, and cross-sell indicators
• Create and maintain a semantic layer that ensures consistent, trusted reporting across all GTM teams
• Define GTM metrics, data standards, and analytical logic that unify Sales, Marketing, Customer Success, Partnerships, and Product GTM data
• Partner with business and GTM leadership to translate strategic questions into scalable analytical models
• Build and maintain BI dashboards and analyses (e.g., pipeline, conversion, campaign performance, onboarding, and cross-sell)
• Provide data logic that powers routing, scoring, enrichment, lifecycle automation, and GTM workflows
• Partner closely with Systems and Operations teams to ensure workflows run on clean, validated, and battle-tested data models
• Establish data validation, QA processes, and monitoring to maintain high data quality across systems
• Document data models, definitions, and logic to ensure clarity, consistency, and usability across stakeholders

Requirements:

• 7+ years of experience in analytics engineering, data engineering, or BI roles supporting GTM or revenue-focused teams
• Expert-level SQL and deep experience designing scalable analytical data models
• Strong understanding of GTM metrics, funnel performance, attribution models, and lifecycle frameworks
• Hands-on experience with Snowflake as a core data warehouse
• Experience working with Salesforce, marketing automation platforms, customer success tools, and enrichment systems as data sources
• Proven ability to build dashboards or data applications and clearly communicate insights to non-technical audiences
• Ability to take loosely defined business logic and operationalize it into clean, durable data structures
• Strong documentation and communication skills, with the ability to influence both technical and business stakeholders
• An owner mindset, accountable for the correctness, clarity, and usability of GTM data
• Experience with Python and modern data stack tools such as Airflow, Fivetran, or Stitch
• Experience applying AI or ML concepts at the data layer
• Experience working in high-growth B2B SaaS environments with complex GTM motions