Sr 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 Sr Data Analyst based in United States.

We are seeking a highly skilled Senior Data Analyst to transform complex healthcare and business data into actionable insights that drive strategic decisions.
This role will play a key part in building a stronger data-driven culture by improving reporting, analytics, and business intelligence capabilities.
You will collaborate with cross-functional teams to uncover trends, optimize processes, and support impactful organizational initiatives.
The position combines advanced analytics, data modeling, visualization, and statistical techniques to solve meaningful business challenges.
You will work with modern data platforms and analytics tools while helping stakeholders make informed decisions through clear storytelling.
This is an opportunity for an experienced analyst to influence strategy and contribute to improved outcomes at scale.

Accountabilities:

As a Senior Data Analyst, you will be responsible for analyzing complex datasets, developing analytical solutions, and partnering with business teams to improve decision-making. You will help evolve analytics capabilities from traditional reporting toward proactive insights and data-driven opportunities.

• Analyze large and complex datasets to identify trends, patterns, and insights that support strategic business decisions.
• Develop automated dashboards and reporting solutions using data visualization tools to improve accessibility and reduce manual reporting efforts.
• Partner with business leaders and cross-functional teams to understand objectives and provide actionable recommendations.
• Transform descriptive analytics into proactive insights that identify opportunities for operational and business improvements.
• Design and maintain data models while ensuring accuracy, consistency, and integrity across multiple data sources.
• Apply statistical analysis and machine learning techniques to address complex business challenges.
• Collaborate with engineering, IT, product, and business stakeholders to improve data pipelines and collection processes.
• Work with healthcare claims data to uncover meaningful insights related to medical and pharmacy information.
• Quickly understand new datasets and translate findings into clear recommendations for different audiences.
• Mentor junior analysts and contribute to building a strong data-driven culture across the organization.
• Stay current with analytics trends, emerging technologies, and best practices in business intelligence.

Requirements:

The ideal candidate is an experienced data professional with strong analytical capabilities, technical expertise, and the ability to communicate insights effectively. You should be comfortable working with large datasets, collaborating with stakeholders, and translating complex information into business recommendations.

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or another quantitative discipline.
• 5+ years of experience in analytics, data management, business intelligence, or a related field.
• Experience working with healthcare claims data, including medical and pharmacy claims.
• Strong proficiency in SQL for querying, analyzing, and managing large datasets.
• Experience with data visualization tools such as Looker, Tableau, or Power BI.
• Strong understanding of data modeling, statistical analysis, and data visualization principles.
• Experience with programming languages such as Python or R for analytics, automation, and data processing.
• Familiarity with cloud-based data platforms such as Snowflake, Google Cloud Platform, AWS, or Azure.
• Knowledge of healthcare data standards, including diagnosis codes, procedure codes, and common claims formats, is preferred.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.
• Excellent data storytelling skills and the ability to translate insights into actionable business recommendations.
• Strong problem-solving abilities, attention to detail, and ability to manage multiple priorities.
• Experience using AI-enabled analytics tools and modern technologies to improve workflows is a plus.
• Master's degree or advanced certification in a quantitative field is preferred.

Benefits:

• Competitive base salary range of $73,539 - $136,065 , depending on experience, skills, qualifications, and location.
• Comprehensive medical, dental, and vision insurance coverage.
• Flexible paid time off and support for work-life balance.
• Hybrid and remote work flexibility.
• Mental and emotional wellness resources.
• 401(k) retirement plan.
• Professional development and learning opportunities.
• Supportive and collaborative team environment focused on innovation and impact.
• Opportunity to contribute to meaningful healthcare initiatives that improve patient outcomes.
• Additional employee benefits and cultural perks designed to support overall well-being.

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.

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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.