Senior Analytics Enablement Lead – Databricks & BI

CVS Health; United States; Remote; USD 130,000 - 261,000; Full time

Job summary

CVS Health is seeking a Senior Analytics Enablement Lead to enhance data accessibility across business teams through the Databricks platform. This role involves building SQL dashboards, training users, and ensuring robust data governance. Ideal candidates will possess over 5 years in analytics, with a strong command of Databricks and Python, passionate about empowering non-technical users to leverage data effectively.

Benefits

Affordable medical plan options

401(k) plan with matching contributions

Employee stock purchase plan

No-cost wellness screenings

Tuition assistance

Qualifications

• 5+ years of experience in analytics, BI, or data architecture roles.
• Proficiency in Databricks and Python/PySpark, preferably on AWS.
• Familiarity with data governance frameworks.

Responsibilities

• Build and maintain Databricks SQL dashboards and business-ready datasets.
• Drive adoption of Databricks by business and Informatics users.
• Collaborate with data engineers to ensure dataset integrity.

Skills

SQL

Data Modeling

Dashboard Development

Data Stewardship

Stakeholder Engagement

Python

PySpark

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Bachelor's degree in Math

Bachelor's degree in Statistics

Tools

Databricks

AWS

Power BI

Tableau

AWS Quicksight

Job description

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

About the Role

We are seeking a Senior Analytics Enablement Leadto bridge our Databricks platform with business, Informatics users, and Data Scientists. This role focuses on empowering non-technical teams with intuitive data access, curated models, and self-service analytics — backed by robust data governance.

Responsibilities

• Build and maintain Databricks SQL dashboards, business-ready datasets, and semantic models.
• Drive adoption of Databricks by business and Informatics userswith intuitive tools and support.
• Translate business needs into data products and reusable assets.
• Train and support business and Informatics users in Databricks SQL, dashboards, and best practices.
• Define and enforce data stewardship, documentation, and governancestandards.
• Collaborate with data engineers to ensure dataset integrity, availability, and performance.
• Create feedback loopsthat help engineering prioritize high-impact improvements.
• Support integration with AWS Quicksight, Power BI, Tableau, or other BI platforms.

Required Qualifications

• 5+ years of experience in analytics, BI, or data architectureroles.
• Proficiency in Databricksand Python/PySpark, preferably on AWSinfrastructure.
• Familiarity with data governance frameworks and Unity Catalog.
• Understanding of data lineage, quality, and stewardship.
• Strong skills in SQL, data modeling, and dashboard development.
• Experience enabling non-technical users and creating data literacy resources.
• Strong communication and stakeholder engagement skills.

Preferred Qualifications

• Databricks Certification(s).
• Experience integrating Databricks with enterprise data tools.
• Experience collaborating with Informatics teams or healthcare analytics a plus.
• Managed Healthcare experience or knowledge of health insurance concepts, preferably Risk adjustment.

What You’ll Bring:

• A deep appreciation for user experience and clean data access.
• Experience helping business teams become self-sufficient with data tools.
• Passion for building data trust, transparency, and adoption across departments.

Education

• Bachelor's degree in Computer Science, Engineering, Math, Statistics, or a related field or equivalent work experience.

Pay Range

The typical pay range for this role is:

$130,295.00 - $260,590.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visithttps://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 06/24/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.