Intelligent Automation Professional

Intelligent Automation JOB PURPOSE: You are a strategic thinker passionate about driving solutions in Data Analytics. You have found the right team. Intelligent Automation and Analytics team s mission is to provide high-quality solutions for various business functions for Bayer. The position will be part of a team that will take a problem statement, find& acquire the relevant data, design& build the prototype, the solution, maintain and document. YOUR TASKS & RESPONSIBILITIES: Executes creative software solutions and governance models, design, development, and troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Own dictionary and work with analytics and technology team on new models Clean up dictionary and patterns of existing finance models Support model output consumption patterns Shorten DRB cycle times for the product Support data movement from on premise solutions to AWS (internal or vendor data) Liaise with the broader Finance Data Owner team to support total finance data inventory and data/platform/consumption pattern synergies within the finance portfolio WHO YOU ARE: 3 - 5 years of work experience across a broad range of analytics platforms, data governance, languages, and tools (SQL, Python and PowerBI, etc.) Experience across Data Lifecycle and Data Governance. Programming languages like Python, Java, Scala, etc. Advanced SQL (e.g., joints and aggregations) Scripting skills e.g., Python, R and experience with tools such as Alteryx or similar tools. Strong understanding of data, databases, AI methodologies as well as hands-on relational and cloud-based systems Bachelor s degree in a relevant quantitative field (e.g. Engineering, Computer Science, Information Technology, Statistics, Business Analytics, Mathematics) Preferred Qualifications, Capabilities, And Skills Project/program management knowledge Science and Artificial Intelligence knowledge Functional knowledge of Pricing and Forecast Modelling Strong understanding of CI/CD Pipelines in a globally distributed environment using Git, Bit-Bucket, Jenkins, etc. Experience with the entire Software Development Life Cycle (SDLC) including planning, analysis, development and testing of new applications and enhancements to existing applications.