The Azure Data Engineer/Analyst supports the development and delivery of enterprise business intelligence, data analysis, and reporting solutions for Medline’s Sales organizations. This role works closely with BI analysts, data engineers, and business stakeholders to transform raw data into trusted datasets, reports, and dashboards that drive business decisions. 

To be successful in the role, you need strong analytical skills, excellent communication skills and will be responsible for developing and maintaining enterprise and departmental business intelligence, data warehousing and reporting solutions. 

Key Responsibilities  

Data Analysis 

• Partner with Sales, Marketing, and BI stakeholders to understand business questions, reporting needs, and KPIs. 

• Analyze enterprise datasets to identify trends, patterns, and data quality issues impacting reports and dashboards. 

• Support metric definitions, calculations, and validation to ensure consistent and reliable business reporting. 

• Ad hoc analysis and data exploration to support decision making initiatives. 

• Own end‑to‑end project delivery includes communication, development, testing, migration, support, and documentation.  

Data Engineering 

• Development and maintenance of data ingestion and transformation pipelines using Microsoft Fabric, Azure, and SQL based tools. 

• Prepare, clean, and transform raw data into analytics ready datasets for reporting and visualization. 

• Write, test, and maintain SQL queries in Lakehouse and Warehouse environments. 

• Perform data validation, reconciliation, and basic troubleshooting to ensure accuracy and reliability. 

• Support production deployments, monitoring, and issue resolution in partnership with senior engineers. 

• Document data models, pipelines, and technical processes following BI standards. 

Visualization & Dashboards  

• Develop and enhance Power BI reports and dashboards to support Sales and Marketing  

• Translate business requirements into intuitive, user- friendly visualizations and self-service reporting solutions. Apply visualization best practices to ensure clarity, consistency, and usability of dashboards. 

• Support ongoing dashboard enhancements, performance tuning, and user feedback incorporation. 

Required Qualifications  

• 6+ years of experience in Business Intelligence, Data Analytics, Data Engineering, or a related technical role. 

• Strong proficiency in SQL, including performance tuning, optimization, and development of complex queries for Fabric Lakehouse and Warehouses.  

• Good working knowledge of SAP systems and underlying data structures, with ability to integrate SAP data into Fabric/Azure pipelines. 

• Expertise in data engineering best practices, including data modeling, data integration, and building high‑performing analytical data stores.  

• Experience in Power BI (or Tableau) for building reports and dashboards. 

• 3 + years of experience with cloud-based data platforms (Microsoft Fabric and/or Azure data services). 

• Ability to design and implement scalable data solutions using Fabric/Azure OneLake architecture, Delta Lake tables, and pipelines.  

• Experience in data quality checks, validation, and documentation practices. 

• Strong communication skills and ability to work with both technical and business stakeholders. 

• Strong task management, prioritization, and problem-solving capabilities, driving work from conception to completion.  

• Experience with SDLC, Agile/Scrum, and project management tools such as Jira.  

Preferred Skills  

• Certifications in Azure or Fabric technologies are a plus.  

• Data modeling (Native HANA) and TDV (Good to Have). 

• Experience of ETL tools, preferably Talend.