About the Role

We are seeking a highly skilled and motivated Analytics Manager/ Sr Analytics Engineer to transform complex healthcare claims data into actionable insights, empowering our teams to make data-driven decisions that improve patient outcomes and operational efficiency. The ideal candidate will have a strong foundation in SQL and BI tools like Google Looker, Power BI etc. and modern data analytics processes, with experience in AWS. This role requires a blend of technical proficiency, problem-solving abilities, and excellent communication skills to collaborate effectively within an agile team. 

Key Responsibilities

Data Analysis, Modeling, and Insights

• Lead exploratory and statistical analyses of clinical, genetic, and claims data to uncover key drivers of patient outcomes and cost efficiency.

• Extract data from primary and secondary sources and build processes to aggregate in standardized analytic models. 
• Identify data trends, patterns, and correlations and convert to a presentable format.
• Establish KPIs to measure the effectiveness of business decisions.
• Build interactive dashboards (using tools like Looker) and generate recurring reports for stakeholders. 

• Build, optimize, and document SQL queries and Databricks workflows to support scalable analytics.

AWS Cloud Technologies 

• Utilize AWS services, including AWS databricks, RDS-Postgres. 

Collaboration and Agile Practices 

• Work collaboratively with cross-functional teams, including data scientists, architects, analysts, and application developers, to deliver high-quality data solutions. 
• Thrive in a fluid, agile environment and be ready to closely work with Leadership as needed. 

Problem-Solving and Communication 

• Apply excellent problem-solving skills to troubleshoot and resolve data and system issues efficiently. 
• Communicate effectively with technical and non-technical stakeholders, translating complex concepts into actionable insights. 

Qualifications

Required Qualifications

Technical Expertise 

• Bachelor’s degree in Data Science, Analytics, Statistics, Health Informatics, Computer Science, or a related field.
• 5+ years of experience as a healthcare data analyst, working with medical and pharmacy claims data.
• 2+ years of hands-on experience in the Databricks ecosystem, including Data Lake and Spark SQL. 
• Experience creating dashboards and visualizations using Looker (LookML experience preferred).
• Demonstrated ability to analyze large-scale datasets (millions of records) and translate data into clear business insights.
• Strong attention to detail, analytical rigor, and ability to communicate complex findings effectively.
• Proficiency with Excel and familiarity with Jupyter Notebooks for analysis and documentation.

Collaboration and Problem-Solving 

• Exceptional problem-solving abilities and a proactive mindset. 
• Excellent communication skills, capable of working effectively with diverse teams. 
• Demonstrated ability to work collaboratively in an agile environment. 

Testing

• Strong experience in testing practices for clinical data accuracy and data analytics workflows. 

Preferred Qualifications

• Familiarity with modern data platforms like Databricks. 
• Experience with data security best practices and compliance (PHI, PII, HIPAA) requirements.

About Medzown, Inc.

At Medzown, we are building something that truly matters. Our work supports individuals facing cancer, rare diseases or other complex diagnosis by delivering Personalized Clinical Trial Insights that can expand their options at critical moments. We are a mission-driven team of scientists, technologists, and operators who combine rigorous research, thoughtful innovation, and deep empathy to make a real impact. We move with purpose, hold a high bar for excellence, and collaborate across disciplines to solve meaningful problems. If you are motivated by advancing precision medicine, value intellectual curiosity, and want your work to directly improve lives, Medzown offers the rare opportunity to grow your career while contributing to something larger than yourself.