Sr. Data Analyst

Location: Remote, US

Department: Data Ops Analytics

Location: Remote

Travel Required: 2-5 Weeks Per Year

We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making across the organization. The ideal candidate will have a strong analytical mindset, expertise in data visualization, and the ability to transform complex data sets into meaningful insights. As a Senior Data Analyst, you will collaborate with cross-functional teams to optimize business strategies, improve processes, and enhance overall performance through data analysis.  

What You’ll Do   

• Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.  
• Communicate findings effectively to stakeholders primarily using Looker to ensure information is automated and not created manually.  
• Work closely with business leaders to understand objectives and provide actionable recommendations based on data analysis.  
• Evolve from creating descriptive reports that monitor metrics and outcomes to utilizing data proactively to uncover opportunities for improvement across the organization.  
• Design and implement data models, ensuring data integrity, accuracy, and consistency across multiple sources.  
• Utilize advanced statistical techniques and leverage machine learning models to solve business challenges.  
• Collaborate with IT, engineering, product, and business stakeholders to optimize data collection and pipeline processes.  
• Mentor and guide junior analysts, fostering a data-driven culture within the organization.  
• Stay updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence.  
• Quickly familiarize yourself with new datasets and efficiently provide valuable insights.  

What We Need   

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field  
• 5+ years of experience in analytics, data management, business intelligence or a related field  
• Experience working with healthcare claims data, including medical or pharmacy claims
• Proficiency in SQL for querying 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 
• Proficiency in programming languages such as Python (preferred) or R for data analysis and automation. 
• Experience with cloud-based data platforms (e.g. Snowflake, GCP, AWS, Azure)  

Desired Qualifications  

• Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field
• Familiarity with standard claims formats and common data elements such as diagnosis codes and procedure codes

What You'll Need to Succeed  

• Excellent communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders. 
• Strong ability to translate analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners 
• Strong problem-solving skills and a results-driven approach. 
• Excellent time management skills and keen attention to detail. 

Base Salary Band: $73,539 - $136,065

Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description.

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