Senior Python Developer, Data & Analytics

Job Description

We are seeking a detail-oriented and analytically minded developer with strong Python programming skills, solid experience in SQL, and a proven ability to debug and resolve complex data issues. The ideal candidate has experience contributing to large-scale Python codebases, writes clean and maintainable code, and brings a disciplined, investigative approach to working with data. They take ownership of their work, collaborate effectively, and are comfortable navigating both independent tasks and team-based development. We're looking for someone who is excited about leveraging code-based solutions and modern development practices to solve real business problems, thrives on collaborating with business stakeholders to understand their needs, and is passionate about delivering impactful data solutions that drive business value.

Key Responsibilities

• Write clean and maintainable Python code.
• Collaborate with teammates to design and implement features in a shared, version-controlled Python codebase.
• Design, develop, and maintain internal code-based tools and applications that enable business units to perform their roles more efficiently and effectively.
• Debug data issues and identify root causes to ensure data accuracy.
• Collaborate cross-functionally with other business units to understand and resolve data-related issues.
• Engage with stakeholders across different business units to gather requirements, understand their business needs, and translate those needs into technical solutions and data products.
• Build user-friendly interfaces and automation tools that streamline business processes and reduce manual work.
• Learn P&C insurance concepts and products and apply this knowledge to develop code-based solutions that meet business needs.

Required Skills and Experience

• Proficiency in Python with experience in large codebases and version control systems (e.g., Git).
• Strong SQL skills, with the ability to write complex queries and understand data structures.
• Experience building internal tools, utilities, or applications that solve business problems and improve operational efficiency.
• Understanding of user experience principles and ability to create intuitive interfaces for non-technical users.
• Experience with automation and process improvement through code-based solutions.
• Experience debugging and resolving data issues, with a focus on root cause analysis.
• Minimum 3 years of experience in a role that involves Python development and data analysis.
• Familiarity with P&C insurance is a plus.

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Originally posted on Himalayas