Senior Process Transformation Business Intelligence Data Analyst

Responsibilities:

• Design and implement scalable solution architectures in Databricks for analytics, AI, and application workloads
• Build, test, and maintain Python-based applications and services that support data processing, AI workflows, and business-facing tools
• Develop LLM-powered solutions, including prompt-driven applications, retrieval-based workflows, model orchestration, evaluation, and practical business use cases
• Create and enhance web applications and user interfaces using HTML, JavaScript, and related frameworks or libraries
• Translate business problems into technical requirements and production-ready solutions
• Design and optimize SQL queries, data models, and data pipelines to support application and reporting needs
• Experience using Visual Studio Code for development environment for coding, testing, debugging, and collaboration
• Develop and execute test strategies for applications, APIs, and AI-enabled workflows to ensure quality, reliability, and maintainability
• Partner with business stakeholders, analysts, data engineers, and technical teams to define solution requirements and deliver usable products
• Support deployment, troubleshooting, performance tuning, and continuous improvement of production applications
• Contribute to engineering standards, reusable patterns, documentation, and best practices for Databricks, Python, and AI application development
• Required Qualifications:
• 5+ years of translatable professional experience
• Strong Python development experience for application development, automation, APIs, and data/AI workflows
• Experience building or supporting LLM-based applications and practical AI solutions, including work with foundation models such as Claude or similar enterprise LLM platforms
• Strong SQL skills, including query development, data transformation, and performance optimization
• Experience building web applications or application interfaces using HTML and JavaScript
• Experience developing, testing, debugging, and maintaining applications in Visual Studio Code
• Experience with application testing, code quality, and deployment practices
• Ability to work across both backend logic and user-facing application components
• Strong problem-solving skills and the ability to turn ambiguous business needs into structured technical solutions
• Strong communication skills and the ability to collaborate across technical and business teams
• Preferred Qualifications:
• Collaborate with the business, IT, and analytics community to craft, prioritize and document opportunities to provide better insights, identify data gaps, and improve efficiencies
• Lead and support service line modernization projects from requirement gathering through user-acceptance
• Analyze and create substantial insight for business use and decisions, understanding large amounts of data from structured and unstructured data sources
• Train and support the business in the use of self-service tools and dashboards and help the business understand the available data fields and logic
• Prepare documentation and analytical reports that effectively summarize results, assumptions, and conclusion
• Knowledge of Source to Pay processes and working knowledge of SAP Ariba, SAP MM, or SAP FI
• Experience using statistical programming languages to create advanced analytics like python, R, or SAS
• Working knowledge of agentic AI and LLM AI and a curiosity or demonstrated success with business process automation.