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.