Data Analytics Analyst

We are seeking a skilled Data Analytics Analyst with Data Engineering experience to join our Data & Analytics team. This role is ideal for someone who thrives in a collaborative environment, enjoys solving complex data challenges, and is passionate about optimizing and building data solutions from the ground up. You will ensure a consistent, scalable, and efficient data delivery architecture to support enterprise analytics and AI initiatives. To succeed, you must be self-motivated, comfortable managing data needs across multiple business areas, and possess strong critical thinking skills. A willingness to learn new technologies and continuously develop expertise is essential. JOB RESPONSIBILITIES Design, develop, and maintain scalable data pipelines and architectures to support analytics and reporting needs. Propose and implement advanced data ingestion, preparation, integration, and operationalization techniques. Analyze data sources to determine ETL strategies (full vs. incremental loads) and define necessary components for incremental loads. Build modern data solutions using Microsoft Fabric (Lakehouse, Warehouse, Notebooks, Data Pipelines). Organize data using the Medallion architecture (Bronze, Silver, Gold) to create valuable insights. Develop and implement data quality processes to validate, cleanse, and monitor data integrity throughout the pipeline. Troubleshoot data issues proactively, ensuring timely resolution of inconsistencies or performance bottlenecks. Optimize database performance and recommend improvements for query execution and data storage. Automate workflows and data processes using Power Automate to improve operational efficiency. Drive automation and improve data usability and governance through effective metadata management. Prepare data for AI-driven predictive and prescriptive analytics, ensuring it is structured, transformed, and optimized for machine learning models and advanced analytical techniques. Collaborate with cross-functional teams to translate business requirements into effective data models and schemas. Develop data models (Star Schema, ER diagrams) to support data warehousing solutions. Develop and maintain Power BI semantic models that are reusable, optimized for performance, and designed for self-service analytics. Stay up to date with emerging technologies, best practices, and industry trends. Other duties assigned