Marketing Analytics Engineer, Data Products – Activation

Zelis

Marketing analytics engineer building governed Snowflake data products for Zelis, which modernizes healthcare financial experiences. Connecting web, CRM, marketing, and AI signals to activation.

Posted 8/10/2026full-timeBoston • Florida, Massachusetts, Montana, New Jersey • 🇺🇸 United StatesMid-LevelSenior💰 $127,000 - $160,550 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining analytics-ready marketing data products, with a strong focus on data modeling, quality assurance, and collaboration across marketing and technology teams. Proficient in leveraging advanced SQL and cloud data warehouse environments like Snowflake to support B2B marketing analytics and AI-driven initiatives.

Highest-signal resume keywords

Advanced SQL ExperienceData Modeling in SnowflakeB2B Marketing Data UnderstandingData Quality ControlsCollaboration with Cross-Functional Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringData EngineeringMarketing Analytics EngineeringDigital AnalyticsRevOps AnalyticsData Transformation LogicAudience SegmentationLead Lifecycle ManagementEvent DesignPredictive Scoring

Soft Skills

Stakeholder EnablementCollaborationProblem SolvingCommunication

Tools & Technologies

SnowflakeSalesforce CRMHubSpotDbtBusiness Intelligence PlatformsDigital Experience PlatformsAI Coding AssistantsWorkflow Automation Tools

Industry Keywords

B2B MarketingCampaign MetadataWebsite BehaviorConversion TrackingData QualityIdentity ResolutionJourney OrchestrationReverse ETLConsent ModelingTag Governance

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain analytics-ready and activation-ready marketing data products in Snowflake
Co-own the marketing data product lifecycle, including definitions, source systems, transformation logic, data contracts, refresh cadence, quality thresholds, lineage, downstream consumers, activation destinations, change control, and limitations
Define and maintain the canonical marketing data model across Snowflake, HubSpot, Salesforce, DXP, paid media, reporting, and activation platforms
Convert one-off audience requests and campaign list logic into reusable, documented segment data products
Build and manage governed AI context layers for LLMs, AI assistants, and agentic workflows
Develop data structures connecting website behavior to known and unknown audience profiles and Salesforce CRM outcomes
Partner with Digital Experience, Marketing Automation, Paid Media, Sales Operations, Revenue Operations, Legal / Compliance, Analytics, and Enterprise Data teams
Create durable data models for identity resolution, golden account/contact attributes, engagement scoring, buyer-group intelligence, product interest, lifecycle movement, consent, suppression, and channel eligibility
Build reusable activation datasets and reverse ETL requirements for downstream marketing, CRM, paid media, digital experience, and journey orchestration platforms
Establish data quality checks, reconciliation logic, monitoring routines, product SLAs, and exception handling
Support predictive lead qualification, intent scoring, attribution, MQL value, expansion opportunity, and next-best-action initiatives
Use AI-assisted development and analytics techniques while maintaining human review, governance, and quality standards

Requirements

What you’ll need

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
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
Experience with website data architecture, event design, event taxonomy, event streaming, session/user behavior, conversion tracking, tag governance, and downstream digital-signal use
Ability to design and steward canonical marketing data objects
Ability to design AI-ready data and context layers supporting governed LLM, AI assistant, and agentic workflows
Working knowledge of Salesforce CRM and marketing automation data structures
Experience building data quality controls, automated validation checks, reconciliation routines, monitoring processes, issue triage workflows, and runbooks
Ability to partner with marketing, data, sales operations, revenue operations, digital experience, legal/compliance, and technology stakeholders
Candidates requiring visa sponsorship now or in the future cannot be considered
Preferred / nice-to-have: audience activation, reverse ETL, data syncs, personalization, journey orchestration, predictive scoring, identity resolution, web analytics instrumentation, consent modeling, Python, dbt, version control, CI/CD, automated testing, APIs, semantic layers, data catalogs, lineage, observability, LLM prompting, RAG, agent workflow design, AI governance, and AI-assisted analytics development
Familiarity with Snowflake, Salesforce, HubSpot, dbt, business intelligence platforms, website analytics and tag management, digital experience platforms, paid media and activation platforms, data quality and lineage tools, AI coding assistants, APIs, scripting, source control, CI/CD, and workflow automation tools

Benefits

Comp & perks

Discretionary bonus plans, commissions, or other incentives depending on the role
401k plan with employer match
Flexible paid time off
Holidays
Parental leaves
Life and disability insurance
Medical, dental, vision, and prescription drug coverage
Flexible hybrid work approach guided by team and business needs
In-office presence is not based on a fixed weekly schedule