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The Cigna Group · 1 day ago

Advanced Analytics & Data Science Lead – Network & Product Solutions Analytics - Hybrid

Austin, TX

Full-time

Hybrid

Mid, Senior Level

$98K/yr - $164K/yr

3+ years exp

The Cigna Group is dedicated to improving healthcare through data-driven insights. They are seeking an Advanced Analytics & Data Science Lead to drive analytics projects that enhance provider networks and healthcare outcomes while collaborating with various business teams.

CommercialHealth CareHospitalInsuranceMedical

Responsibilities

Lead advanced analytics and data science projects to identify high-performing healthcare providers and enable steerage, geo-access, and network adequacy

Apply advanced analytical techniques to drive improvements in cost, quality, and access across provider networks

Develop and implement robust, defensible methodologies for provider performance and network design

Predict and monitor outcomes from provider networks, ensuring solutions are effective and scalable

Partner closely with business teams (Network Strategy, Risk Management & Affordability, Provider Management) to deliver high-value analytics enhancements

Present clear, actionable insights and recommendations to non-technical business partners and leadership

Prototype and iterate cloud-based dashboards in collaboration with stakeholders

Propose and develop KPIs, operationalizing solutions into coded prototypes or MVPs

Collaborate with engineering and production teams to scale solutions

Explore and implement innovative solutions to business challenges in a team environment

Qualification

Healthcare analyticsSQLPythonAdvanced analytics techniquesCloud-based analyticsCommunication skillsProblem-solving skillsGit/GithubIndustry experienceHealthcare delivery systemsVerbal communicationWritten communicationGrowth mindset

Required

Minimum 3 years of hands-on healthcare analytics experience, including work with claims, eligibility, profiling, or EMR data

Advanced degree (Master's or higher) in a quantitative field (e.g., Computer Science, Statistics, Biostatistics, Actuarial Science, Data Science, Epidemiology) or equivalent work experience

Strong technical skills with SQL and Python or R; experience with cloud-based analytics platforms

Experience applying advanced analytics techniques (e.g., episode groupers, provider profiling, network adequacy, steerage analytics, geo-spatial/social network analytics, risk adjustment)

Ability to communicate complex findings clearly to non-technical audiences

Proven track record of delivering results on multiple projects in a fast-paced, matrixed environment

Strong problem-solving skills and a growth mindset