Senior Data Analyst

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

The Senior Data Analyst will turn complex healthcare claims and eligibility data into actionable insights that support better business decisions.
This role focuses on identifying payment anomalies, uncovering trends, and improving the visibility and quality of healthcare data.
You will combine strong analytical capabilities with healthcare domain expertise to develop meaningful dashboards, reports, and recommendations.
Working closely with account management, clinical, and operational teams, you will translate business questions into effective analytical solutions.
The role also offers an opportunity to improve reporting efficiency through automation, streamlined workflows, and well-documented analytical processes.
Success in this position requires strong SQL expertise, attention to detail, and the ability to communicate sophisticated findings to non-technical audiences.
This is a fully remote opportunity open to candidates who are legally authorized to work in the United States.

Accountabilities

• Develop a strong understanding of organizational priorities and deliver analytical solutions that generate actionable recommendations and measurable business value.
• Collect, clean, query, and analyze healthcare claims and eligibility data from multiple sources to identify trends, patterns, anomalies, and opportunities.
• Conduct end-to-end ad-hoc analyses, including scoping requests, extracting relevant data, validating results, and presenting accurate findings to stakeholders.
• Monitor data integrity through regular audits and quality checks, ensuring datasets are accurate, complete, and reliable.
• Develop and maintain dashboards using claims and eligibility data to provide internal teams with clear insights for client discussions and business decisions.
• Partner with business stakeholders to understand their goals, challenges, and reporting needs and translate them into effective analytical deliverables.
• Prepare on-demand analyses and reports that clearly communicate key findings, trends, and recommendations.
• Present analytical results in clear, concise language and translate complex data findings into practical recommendations for non-technical audiences.
• Identify opportunities to automate recurring analytical and reporting processes, streamline workflows, and reduce manual effort.
• Collaborate with internal teams to implement automation initiatives that improve reporting efficiency and consistency.
• Document analytical methodologies, data workflows, and processes to promote transparency, repeatability, and knowledge sharing.
• Build strong working relationships with account managers, clinical teams, and operational partners by understanding their needs and providing reliable analytical support.

Requirements

• Bachelor's degree in business, economics, finance, mathematics, or a related discipline; alternatively, 7+ years of directly relevant healthcare claims analytics experience may be considered in lieu of a degree.
• Minimum 5 years of professional analytical experience working with healthcare claims data .
• At least 5 years of strong SQL experience , including data querying, extraction, validation, and analysis.
• Solid understanding of healthcare claims and eligibility data structures, including ICD, CPT, DRG , and related coding conventions.
• Experience analyzing complex datasets and translating findings into clear, actionable recommendations within a business environment.
• Familiarity with data visualization and business intelligence tools such as Tableau, Power BI, or QlikView .
• Familiarity with Python for data manipulation, reporting automation, or workflow improvement is a plus.
• Strong analytical, critical-thinking, and problem-solving abilities, with a high level of attention to detail and commitment to data accuracy.
• Ability to independently manage and prioritize multiple ad-hoc analytical requests while maintaining quality and meeting stakeholder deadlines.
• Excellent written and verbal communication skills, including the ability to explain complex analytical concepts to technical and non-technical audiences.
• Strong business acumen and the ability to connect analytical findings to organizational goals and practical decisions.
• Ability to collaborate effectively with cross-functional teams and build productive relationships with business, clinical, account management, and operational stakeholders.
• Willingness to stay current with evolving analytics tools, methodologies, and healthcare data practices and apply new approaches when they provide value.
• Must be legally authorized to work in the United States.

Benefits

• Fully remote work opportunity within the United States.
• Competitive compensation based on experience and qualifications.
• Opportunity to work extensively with healthcare claims analytics and data-driven business challenges.
• Exposure to cross-functional collaboration with account management, clinical, and operational teams.
• Opportunities to improve analytical workflows through automation and process optimization.
• Professional growth through continued exposure to evolving healthcare analytics tools, technologies, and methodologies.
• Work focused on identifying inefficiencies and generating insights that can support more effective healthcare spending.

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?


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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.