Marketing Analytics Engineer, Data Products & Activation

Role Overview

Zelis is seeking a Marketing Analytics Engineer, Data Products & Activation to help build the next generation of marketing data, AI, and activation capabilities. This role will translate marketing, website, sales, CRM, paid media, and engagement signals into governed marketing data products that support audience intelligence, journey analytics, segmentation, personalization, lead qualification, attribution, sales activation, DXP experiences, and AI-enabled decisioning.

What You Will Do

Design, build, and maintain analytics-ready and activation-ready marketing data products in Snowflake that support digital marketing, website engagement, audience segmentation, journey progression, lead qualification, attribution, personalization, DXP experiences, and sales activation.

Why It Might Be a Fit

The ideal candidate combines analytics engineering, marketing technology fluency, web data architecture, data product discipline, and AI context-layer design.

Requirements

• 6+ years of experience in analytics engineering, data engineering, marketing analytics engineering, marketing technology, digital analytics, RevOps analytics, or a related technical analytics role.
• Advanced SQL experience and demonstrated ability to build reliable, reusable data models in Snowflake or comparable cloud data warehouse environments.
• Experience translating business requirements into production-quality data products, including source-to-target mapping, transformation logic, QA routines, data contracts, metric definitions, documentation, lineage, and stakeholder enablement.
• Strong understanding of B2B marketing data, including campaign metadata, website behavior, audience segmentation, lead lifecycle, form conversion, CRM outcomes, paid media signals, sales funnel data, opportunity context, buying committees, product interest, and expansion motions.
• Ability to design and steward canonical marketing data objects such as Golden Account, Golden Contact, Segment Membership, Product Interest / Intent, Persona, Buying Committee Role, Consent / Suppression Eligibility, Engagement Score, Intent Intensity, Opportunity Context, Product Ownership, and White-Space Opportunity.
• Ability to design AI-ready data and context layers that support governed use of LLMs, AI assistants, and agentic workflows across marketing operations, analytics, audience activation, and experience delivery.

Benefits

• 401k plan with employer match
• Flexible paid time off
• Holidays
• Parental leaves
• Life and disability insurance
• Health benefits including medical, dental, vision, and prescription drug coverage