Truveta: Senior Enablement Analyst — Seattle, WA

About Truveta

Truveta is a health-data and analytics company. It aggregates de-identified electronic health record data from a network of United States health systems into a research dataset for studying treatments, outcomes and patient care pathways, serving life-science and health researchers. The platform is owned and governed by the participating health systems, and its employer feed lists engineering, data and clinical roles supporting the work.

The position and its setting

Truveta lists Senior Enablement Analyst in Seattle, WA, under reference 6142227004. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Partner
• Employer listing date: 13 August 2026

Responsibilities and work described

• Development: customer-facing enablement content, including notebooks, guides, FAQs, slide decks, and walkthroughs
• Facilitate large exports of omni-model data to customer environments
• Help customers understand the data model, including clinical, administrative, notes, and imaging tables and how they relate to one another
• Explain de-identification concepts, quasi-identifiers, and privacy considerations in a way that is practical for customer workflows
• Support: customers using data for analytics, patient journey analysis, and predictive modeling using machine learning
• Create examples and best-practice materials that show how to structure cohorts, link tables, and validate outputs
• Partner with internal teams to identify common customer questions, gaps, and opportunities for improved documentation
• Translate technical product behavior into clear customer messaging, especially around profiles, date handling, suppression logic, and ML readiness
• Monitoring: customer needs and recommend enablement strategies that improve adoption and reduce friction
• Contribution: to a scalable library of reusable enablement assets for technical users
• Contribution: to internal customer analytics assets, creating dashboards, models, forecasting to support post sales operations and enablement (Customer Health Score, Platform Adoption, ect...)
• What Success Looks Like
• Customers can confidently navigate the data model and build analyses and predictive models with less support
• Enablement materials are clear, accurate, and easy to reuse
• Customers understand how to use retrospective, privacy-preserving, EHR data appropriately in ML and analytics workflows
• Common support questions decline as documentation and examples improve

Essential requirements and candidate background

• Experience: customer enablement, solutions consulting, analytics, or data science
• Ability to explain complex technical concepts in plain language
• Comfort working with notebooks, data dictionaries, SQL, Python, or similar analytical tools
• Experience supporting technical customers in building analytics or ML workflows using omni-modal data
• Collaboration, organization, and communication skills

Preferred experience and additional strengths

• Familiarity: healthcare data, EHR data, and images strongly preferred
• Experience: patient journey analysis, clinical data modeling, or omni-modal data
• Familiarity: imaging metadata and how it connects to clinical records
• Background in supporting enterprise or strategic customers with technical enablement
• Experience creating customer-facing materials for highly technical audiences
• Ideal traits
• Customer-first mindset
• Clear and concise communicator
• Detail-oriented and reliable
• Comfortable with ambiguity
• Able to turn technical complexity into practical guidance
• Proactive about identifying customer blockers before they become problems

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• If you are based in California, we encourage you to read this important information for California residents linked here
• Advertised location: Seattle, WA

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Enablement Analyst vacancy is not an offer for reference 6142227004; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Truveta

Applications follow the official employer page linked below.

Open the official Truveta posting below and match the title and reference 6142227004.

Compare your qualifications and experience with the essential conditions for the Seattle, WA position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• AI/ML
• machine learning
• insurance
• sales
• training
• communication