Sr. Data Analyst - US Remote

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Data Analyst in the United States.

The Sr. Data Analyst will play a pivotal role in leveraging complex datasets to deliver actionable insights that drive strategic decision-making in healthcare analytics. This role involves building scalable analytics pipelines, performing advanced data modeling, and generating high-quality reporting to support risk adjustment and medical record coding operations. You will collaborate with cross-functional teams to interpret trends, forecast outcomes, and optimize business processes. The position offers a dynamic environment where technical expertise meets real-world impact, requiring initiative, analytical rigor, and effective communication skills. This role is ideal for a data professional who thrives on solving complex problems, mentoring junior analysts, and contributing to high-stakes projects that improve operational performance and patient outcomes.

Accountabilities:

• Own and manage complex data workflows and analytics pipelines using tools such as SQL, dbt, Airflow, Snowflake, and Databricks.
• Analyze large datasets to identify trends, patterns, and actionable insights for risk adjustment coding and quality improvements.
• Develop, test, and deploy reporting solutions to support internal stakeholders and external clients.
• Automate recurring analyses to improve efficiency and scalability across multiple projects.
• Run risk adjustment models for Medicare Advantage, Medicaid, or ACA programs to forecast patient risk scores and outcomes.
• Collaborate with cross-functional teams to define analysis methodologies, assumptions, and reporting requirements.
• Mentor and guide junior analysts while ensuring high standards for data quality and operational accuracy.

Requirements

• 3+ years of professional experience in data analysis or analytics roles.
• Strong experience with database technologies such as SQL, Oracle, MS SQL Server, Snowflake, and Databricks.
• Proficiency in Python for data manipulation, automation, and visualization.
• Deep understanding of risk adjustment business analytics (MA, ACA, MD) and risk models including HCC, RxHCC, HHS-HCC, and CDPS.
• Ability to build, architect, and deliver robust internal and customer-facing reports.
• Experience with BI and visualization tools such as SSRS, Power BI, Tableau, Looker, or Sigma.
• Excellent problem-solving, communication, and time management skills.
• Ability to work independently, prioritize work, and navigate ambiguity in a fast-paced environment.
• Familiarity with data privacy, cloud services, and machine learning is a plus.

Benefits

• Competitive salary range: $128,000–$160,000 USD.
• Fully remote work with flexibility in scheduling.
• Comprehensive health coverage, including medical, dental, and vision.
• Paid time off and parental leave.
• Opportunities for professional growth and mentoring.
• Access to modern data tools and learning resources.
• Collaborative, values-driven work environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then made by their internal hiring team.

Thank you for your interest!