1. Data Collection & Cleaning - Gather data from various sources (including but not limited to), S/4 HANA, databases, spreadsheets, and APIs. - Ensure data accuracy, consistency, and completeness through rigorous cleaning and validation processes. - Design, build, and maintain scalable data pipelines from SAP S/4 HANA to SAP Datasphere. - Create and maintain API integrations utilizing MuleSoft to extract data from various enterprise systems as well as transfer data between them. 2. Data Modeling - Develop and optimize SQL queries, stored procedures, and other various Datasphere objects to transform and model data. - Transform raw operational data into well-structured, documented analytics models that utilize best practices for efficiency. - Models should be well documented and easy to consume by both lower-level developers and business stakeholders. 3. Data Analysis & Exploration - Conduct exploratory data analysis (EDA) to uncover patterns, trends, and anomalies. - Utilize statistical...Analytics, Engineer, Data, Microsoft, Manufacturing, Technology, Database, SQL