Marketing Analytics Engineer, Data Products & Activation

At Zelis we Get Stuff Done. So lets get to it!

A Little About Us

Zelis is modernizing the healthcare financial experience across payers providers and healthcare consumers. We serve more than 750 payers including the top five national health plans regional health plans TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify optimize and solve problems holistically with technology built by healthcare experts driving real measurable results for clients.

At Zelis AI is woven into the fabric of how we work. Every associate is expected - and empowered - to partner with AI to challenge the status quo accelerate innovation and amplify their impact. This is a place for builders with a growth mindset who act with agility embrace change and use modern technology to shape smarter solutions exceptional experiences and the future of our industry for our clients customers and our culture.

A Little About You

You bring a unique blend of personality and professional expertise to your work inspiring others with your passion and dedication. Your career is a testament to your diverse experiences community involvement and the valuable lessons youve learned along the way. You are more than just your resume; you are a reflection of your achievements the knowledge youve gained and the personal interests that shape who you are.

Position Overview

What Youll 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.
• 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 known limitations.
• Help define and maintain the canonical marketing data model across Snowflake HubSpot Salesforce DXP paid media reporting and activation platforms including shared definitions for MQL lifecycle stage product interest persona buying committee role consent status suppression eligibility engagement and intent.
• Convert one-off audience requests and campaign list logic into reusable segment data products with documented purpose inclusion logic exclusion logic suppression rules QA checks refresh cadence activation destinations business owner technical owner and success metrics.
• Build and manage governed AI context layers that make marketing data usable by LLMs AI assistants and agentic workflows including curated metric definitions audience attributes content taxonomy campaign metadata web behavior signals journey states data lineage approved business rules confidence scores and review thresholds.
• Develop data structures that connect website behavior to known and unknown audience profiles including page views content engagement form interactions conversion events source attribution session behavior identity resolution inputs and downstream Salesforce CRM outcomes.
• Partner with Digital Experience Marketing Automation Paid Media Sales Operations Revenue Operations Legal / Compliance Analytics and Enterprise Data teams to define event-streaming governance and activation requirements from and related digital properties into Snowflake.
• Create durable data models that support identity resolution golden account/contact attributes engagement scoring buyer-group intelligence product interest history lifecycle movement product ownership opportunity context consent status suppression logic and channel eligibility rules.
• Build reusable activation datasets and reverse ETL requirements that send trusted explainable consent-safe data from Snowflake into downstream marketing destinations including email automation CRM paid media digital experience and journey orchestration platforms.
• Establish data quality checks reconciliation logic monitoring routines product SLAs and exception handling for marketing data products with emphasis on website events campaign metadata lead lifecycle data audience membership consent / suppression eligibility identity confidence and activation outputs.
• Support predictive lead qualification intent scoring attribution MQL value expansion opportunity and next-best-action work by building clean feature tables training-ready datasets model output tables and explainability-ready structures.
• Use AI-assisted development and analytics techniques to accelerate SQL generation documentation data testing anomaly detection metadata tagging and first-pass data product design while maintaining human review governance and quality standards.

What Youll Bring to Zelis

• 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.
• Experience with website data architecture including event design event taxonomy event streaming session/user behavior conversion tracking tag governance and downstream use of digital signals for audience or journey analytics.
• 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.
• Working knowledge of Salesforce CRM and marketing automation data structures including leads contacts accounts campaigns opportunities campaign membership lifecycle status activities account-contact relationships and sales engagement signals.
• Experience building data quality controls automated validation checks reconciliation routines monitoring processes issue triage workflows and runbooks for recurring marketing data products.
• Ability to partner with marketing data sales operations revenue operations digital experience legal/compliance and technology stakeholders to turn ambiguous use cases into scalable data architecture and clear documentation.

Preferred / Nice-to-Have Qualifications

• Experience supporting audience activation reverse ETL or data syncs from Snowflake into marketing automation CRM paid media digital experience journey orchestration or sales activation destinations.
• Experience designing data models for personalization journey orchestration next-best-action lead scoring propensity scoring product interest classification buyer-group intelligence or expansion/white-space opportunity identification.
• Familiarity with identity resolution concepts including deterministic matching probabilistic matching account/contact hierarchy domain mapping anonymous-to-known stitching survivorship logic exception queues and golden record inputs.
• Experience with web analytics instrumentation tag governance server-side event collection event streaming into a cloud data warehouse or first-party behavioral data activation.
• Experience modeling consent suppression communication eligibility channel eligibility opt-out source suppression reason consent source consent timestamp and activation eligibility rules.
• Familiarity with Python dbt warehouse-native scripting version control CI/CD automated testing API-based data movement QA automation monitoring and workflow automation.
• Experience building or maintaining semantic layers business metric layers data catalogs data contracts product documentation lineage tooling observability tooling or AI-readable metadata frameworks.
• Familiarity with LLM prompting retrieval-augmented generation agent workflow design AI governance patterns confidence scoring audit logging or AI-assisted analytics development.

Tools and Platforms

• Snowflake and cloud data warehouse / marketing data mart environments
• Salesforce CRM and HubSpot or comparable marketing automation platforms
• dbt or comparable transformation and analytics engineering frameworks
• Business intelligence and dashboarding platforms
• Website analytics tag management server-side tagging and event collection tools
• Digital experience content management and personalization platforms
• Paid media reverse ETL and audience activation platforms
• Data quality lineage cataloging observability semantic layer and data product documentation tools
• AI coding assistants LLMs agentic workflow tools warehouse-native AI services APIs scripting source control CI/CD and workflow automation tools

Please note at this time we are unable to proceed with candidates who require visa sponsorship now or in the future.

Location and Workplace Flexibility

Zelis is headquartered in the U.S. with multiple locations across the country and in Hyderabad India. Check out our locations to learn more about our offices. All employee work locations are based on the needs of the position and are determined by the Leadership -office work and activities vary based on work and team objectives in accordance with Company policies.

While location expectations vary by role candidates within approximately 50 miles of a U.S. office are generally preferred to support collaboration when needed. Our hybrid approach is flexible and in-office presence is guided by team and business needs rather than a fixed weekly schedule.

Base Salary Range

At Zelis we are committed to providing fair and equitable compensation packages. The base salary range allows us to make an offer that considers multiple individualized factors including experience education qualifications as well as job-related and industry-related knowledge and skills etc. Base pay is just one part of our Total Rewards package which may also include discretionary bonus plans commissions or other incentives depending on the role.

Zelis full-time associates are eligible for a highly competitive benefits package as well which demonstrates our commitment to our employees health well-being and financial protection. The US-based benefits include a 401k plan with employer match flexible paid time off holidays parental leaves life and disability insurance and health benefits including medical dental vision and prescription drug coverage.

Equal Employment Opportunity
Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

We welcome applicants from all backgrounds and encourage you to apply even if you dont meet 100% of the qualifications for the role. We believe in the value of diverse perspectives and experiences and are committed to building an inclusive workplace for all.

Accessibility Support
We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process please email .

Disclaimer

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities duties and skills from time to time.