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Senior Healthcare Analytics Consultant

Sun Life
sick time, 401(k)
United States, Connecticut, Hartford
May 01, 2026

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide.

Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities.

Job Description:

Sun Life embraces a hybrid work model that balances in-office collaboration with the flexibility of virtual work. Our team members and leaders are expected to foster connection and teamwork by being present in the office at least 2 days per week.

The opportunity:

The Health and Risk Solutions Healthcare Economics team is responsible for developing and maintaining pricing for PPO Networks, PBMs, TPAs, and measuring health capability vendor offerings. In addition to network strategy, the team will also be involved in various analytics projects to support strategic growth of the business, such as healthcare transparency data and emerging trend analytics. This role will oversee and implement data solutions to support effective analysis and informed decision-making on healthcare economics projects.

How you will contribute:

  • Manage and maintain network pricing database, as well as the pricing models and tools used for network evaluations
  • Support data strategy efforts in implementing new solutions to network pricing, such as leveraging healthcare transparency data
  • Support day-to-day operations of the healthcare economics team by working closely with the Health & Risk Solutions Actuarial Pricing, Distribution, and Underwriting teams
  • Serve as the technical expert on data management and technical solutions for the Health & Risk Solutions Actuarial Pricing team, consult on data strategy and train new members on use of technical applications
  • Potential growth opportunity in supporting various data and analytics projects within Health & Risk Solutions

What you will bring with you:

  • Bachelor's degree in related field
  • 5+ years of experience in the healthcare industry
  • Strong and proven technical skills in SQL, Python, Excel and VBA
  • Preferred experience in Snowflake and Dataiku solutions
  • Experience with utilizing claims databases to support healthcare trend analysis
  • Excellent analytical and problem-solving skills to manage and maintain pricing models, tools, and databases
  • Strong communication abilities to collaborate effectively with cross-functional teams, including underwriting, analytics, claims, and IT
  • Proven organizational skills to work on multiple projects with differing priorities and timelines

Salary Range: $97,400-146,100

At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions.

Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you!

We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds.

Life is brighter when you work at Sun Life

At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities.

We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email thebrightside@sunlife.comto request an accommodation.

For applicants residing in California, please read our employee California Privacy Policy and Notice.

We do not require or administer lie detector tests as a condition of employment or continued employment.

Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Category:

Advanced Analytics

Posting End Date:

19/05/2026
Applied = 0

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