Senior Analytics Engineer role based in the United States, listed on behalf of a partner company, at a healthcare organization in a regulated pharmaceutical environment. Responsibilities include leading analytics projects, designing data models and pipelines, and mentoring junior staff. Required stack includes Python, SQL, Apache Hop, dbt, Snowflake, AWS, Azure, and Power BI.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Analytics Engineer based in the United States.
This role offers the opportunity to build reliable, scalable data solutions that improve decision-making and operational performance across a rapidly growing healthcare organization. You will lead analytics initiatives from initial problem definition through deployment and ongoing monitoring, translating complex business needs into actionable data products. Working in a highly regulated pharmaceutical environment, you will strengthen data quality, optimize infrastructure, and ensure that business users have access to dependable insights. You will collaborate with stakeholders across the organization while applying modern data engineering and analytics technologies. As a senior individual contributor, you will also mentor colleagues, develop reusable tools, and promote engineering best practices. Your work will directly support more efficient operations and improved access to high-quality medications.
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.
#LI-CL1