Senior Healthcare Data Analyst, Claims Analytics

PatientPoint - United States - original posting ->
Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
Healthcare-Data-Analytics, Claims-Analytics, Business-Intelligence, Data-Analyst, Data-Ops-Analytics, Healthcare-Claims-Data-Analyst, Healthcare-Claims-Analyst, Health-Insurance-Claims-Analyst, Claims-Data-Analyst, Health-Data-Analyst, Healthcare-Analytics-Analyst
Tech
awsazuregcpsnowflakepython
Source
himalayas
First observed
2026-08-23 23:13 UTC
Last seen
2026-08-23 23:13 UTC
Source claims posted
2026-08-23 22:41 UTC
Consecutive misses
0 of 10

What the posting says

Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

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.

About PatientPoint: PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation’s largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and health brands with relevant information that is proven to drive healthier decisions and better outcomes. Learn more at patientpoint.com.

Latest News & Innovations:

Why is PatientPoint a Best Place to Work! Read More

Teammate Honored as "Top Woman in Tech". Read More

Recognized on Vault’s Top Internship List. Read More

What We Offer:

We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.

PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

Originally posted on Himalayas

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #305160 2026-08-23 23:13 UTC
    Published