Insights Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Insights Analyst based in the United States.

This role offers the opportunity to transform complex healthcare data into meaningful insights that influence strategic decisions. You will support data-driven initiatives that improve operational performance, product development, and member experiences. The position combines analytical expertise, healthcare knowledge, and strong communication skills. You will collaborate with cross-functional teams to uncover trends, build analytical frameworks, and deliver actionable recommendations. This role provides the chance to work with advanced analytics, machine learning, and emerging AI technologies. You will help create a stronger data culture by making insights accessible and impactful across the organization. This is an opportunity to contribute to meaningful healthcare improvements through innovative and responsible data practices.

Accountabilities:: The Insights Analyst will play a key role in analyzing healthcare data, developing reporting solutions, and translating complex information into actionable business insights. This position requires strong analytical capabilities, collaboration across teams, and the ability to support data-driven decision-making in a healthcare environment.

Analyze complex healthcare datasets to identify trends, patterns, opportunities, and insights that support business outcomes and improved healthcare delivery.

Partner with teams across product, marketing, operations, and engineering to understand business needs and develop effective analytical solutions.

Design and implement analytics methodologies using statistical analysis, modeling techniques, and machine learning approaches to generate meaningful insights.

Build and maintain dashboards, reports, and data visualizations that communicate key metrics clearly to internal stakeholders.

Promote data literacy and encourage the adoption of analytics-driven decision-making across the organization.

Leverage emerging technologies and analytics best practices to continuously improve insight generation capabilities.

Apply responsible data practices while ensuring privacy, security, and compliance requirements are maintained, especially within healthcare-related analytics.

Support strategic projects by translating business questions into analytical frameworks and delivering clear recommendations.

Manage and protect sensitive company and member data by following ethical standards, policies, and compliance guidelines.

Requirements:

The ideal candidate combines strong data analytics expertise, healthcare industry knowledge, and the ability to communicate complex findings clearly to diverse stakeholders.

Bachelor’s or master’s degree in Data Science, Statistics, Computer Science, Public Health, or a related field; advanced degree preferred.

3+ years of experience in data analytics, business intelligence, or a related analytical role, including healthcare industry experience.

At least 2 years of experience working in an analyst position with exposure to healthcare data environments.

Strong analytical skills with proficiency in SQL, Python, R, and business intelligence tools such as Tableau or Power BI.

Experience analyzing healthcare claims data and working with clinical, operational, or financial datasets.

Experience using generative AI tools to support data analysis, coding, workflow automation, and insight development while applying responsible AI practices.

Ability to transform complex datasets into clear, compelling insights that support strategic business decisions.

Strong problem-solving skills with the ability to create structure, operate independently, and manage ambiguity.

Excellent communication and presentation skills with the ability to explain analytical findings to both technical and non-technical audiences.

Knowledge of healthcare industry practices, including data governance, compliance requirements, and regulations such as HIPAA.

Experience with statistical analysis methods and machine learning techniques is preferred.

Strong sense of accountability, integrity, and commitment to ethical data management.

Benefits:

Competitive base salary and incentive compensation opportunities.

Comprehensive healthcare coverage, including medical, dental, and vision plans.

Additional benefits including life insurance, legal and identity protection, adoption assistance, employee assistance programs, and virtual healthcare services.

401(k) plan with employer matching contributions and immediate vesting.

Paid time off, holidays, parental leave, volunteer days, and additional programs supporting work-life balance.

Tuition reimbursement, certification support, continuing education benefits, and professional development opportunities.

Remote work flexibility within the United States, with hybrid options available in select locations.

Inclusive workplace culture focused on diversity, collaboration, recognition, and employee well-being.

Access to workplace wellness resources, fitness programs, and additional employee perks.

Opportunity to contribute to meaningful healthcare initiatives through innovative analytics solutions.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1