Senior Data Analyst

This senior data analyst role supports the development of a new healthcare service that uses pharmacy operations data and personal data accumulated through products to understand changes in patient behavior and attitudes. The service is intended to support patient engagement and improve interactions among patients, pharmacies, and healthcare professionals.

The role analyzes pharmaceutical markets and actual prescribing patterns and uses the findings to contribute to products and services designed to encourage changes in patient and healthcare-professional behavior. Responsibilities also include designing NSMs and KPIs, visualizing data, and supporting decision-making for product improvement. The analyst will also support the design and construction of data marts and a data warehouse as part of building an analytics foundation.

The position is part of a development organization with a four-person team consisting of one engineering manager and three data science/data analysis members. The team works with a separate three-person analyst team specializing in medical data, advancing service development from both business and product perspectives.

The listed development technologies are SQL, Python, Jupyter Notebook, Redash, and Databricks. The organization also lists OpenAI, Gemini, and Claude through Amazon Bedrock as LLM tools, together with GitHub Copilot, Dify, Cursor, Devin, and NotebookLM as AI SaaS tools. Generative AI is used for product applications and productivity, with a cross-functional community where engineers, product managers, and designers share knowledge and hold study sessions. Because the work involves responsible medical information, internal guidelines address security risks and related controls.

The selection process may include document screening, a casual interview, two to three interviews, an aptitude test, a reference check using back check, and an offer meeting. The process may change depending on circumstances.