Remote Data Analyst Lead

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Lead Data Analyst - REMOTE. In this role, you will be at the forefront of utilizing data analytics to drive strategic initiatives. Your work will significantly impact decision-making processes across the organization, harnessing your advanced analytical capabilities and leadership skills. As you dive into complex data challenges, you will innovate and implement models that shape the future of data strategy. Collaborating with senior executives, your insights will foster a data-driven culture, delivering clear and actionable recommendations. You'll play a key role in mentoring junior analysts and enhancing the organization's analytical standards from a fully remote setting.

Accountabilities

• Lead complex, cross‑functional analytic projects from concept to delivery, ensuring alignment with organizational strategy.
• Design, develop, and implement advanced analytic models, predictive tools, and data‑driven methodologies.
• Build and maintain enterprise dashboards, reporting systems, and decision‑support applications for operational and executive users.
• Act as a trusted advisor to senior leadership, offering expert‑level interpretation of data and strategic recommendations.
• Present insights clearly and persuasively to executive audiences, ensuring complex analysis is accessible and actionable.
• Develop automated workflows, reusable analytic tools, and standardized processes that enhance efficiency and reliability.
• Mentor Analysts and Senior Analysts, helping strengthen technical skills, analytical thinking, and best‑practice methodologies.
• Evaluate and introduce new analytics tools, technologies, and platforms that expand data capabilities.
• Ensure analytic output complies with internal standards, HIPAA, and enterprise data governance requirements.
• Maintain expertise in healthcare analytics, including claims, enrollment, and clinical data sources.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Healthcare, Business, or a related field (or equivalent experience).
• Master’s degree in a related analytic field preferred.
• 8+ years of experience in healthcare analytics, dental analytics, actuarial analytics, or a related quantitative domain.
• Advanced proficiency in SQL, with the ability to build complex queries and optimize data pipelines.
• Expertise in Python, R, and/or other advanced analytics programming languages.
• Strong data visualization skills using Power BI, Tableau, or similar platforms — able to design intuitive, executive‑ready dashboards.
• Demonstrated ability to build predictive models, forecasting tools, and advanced analytic frameworks.
• Strong understanding of healthcare claims, enrollment, and clinical datasets; dental industry experience is a plus.
• Familiarity with HIPAA, data governance, and healthcare regulatory requirements.
• Exceptional analytical and problem‑solving skills; able to synthesize complex data into meaningful insights.

Benefits

• Fully remote (U.S.) with extensive computer and virtual collaboration.
• Occasional travel may be required for team meetings or leadership sessions.
• Opportunity to develop your accounting expertise.
• Collaborative and supportive work environment.
• Exposure to multiple financial functions and process improvement activities.

Why Apply Through Jobgether?

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!

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.