Lead GTM Analytics Engineer

🕒 March 23

🇺🇸 United States – Remote

💵 $160k - $170k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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DigiCert

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

🔒 Cybersecurity

🔐 Security

Cybersecurity • IoT • Security

DigiCert is a global leader in providing high-assurance digital security solutions. It offers a wide range of services including TLS/SSL certificates, PKI (Public Key Infrastructure), and IoT (Internet of Things) security solutions. DigiCert's suite of products and services includes certificate lifecycle management, secure signing for code and documents, and devices across various industries such as healthcare, transportation, and smart cities. The company is focused on ensuring digital trust with advanced encryption and identity verification technologies, preparing organizations for the challenges of the quantum era. DigiCert is trusted by the majority of the Global 2000 companies for managing their digital trust needs.

📋 Description

• 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.

🏖️ Benefits

• Competitive pay, the expected base pay range for this role is $160,000 - $170,000 USD • Comprehensive health, dental, + vision coverage • Remote First Company, you can work anywhere within the US • Unlimited and flexible PTO. We believe balanced, happy, relaxed people do better work