Overview We are seeking a skilled and proactive business analyst with expertise in Azure Data Engineering to join our dynamic team. In this role, you will bridge the gap between business needs and technical solutions, leveraging your analytical skills and Azure platform knowledge to design and implement robust data solutions. You will collaborate closely with stakeholders to gather and translate requirements, develop data pipelines, and ensure data quality and governance. This position requires a strong understanding of Azure services, data modeling, and ETL processes, along with the ability to thrive in a fast-paced, evolving environment. Responsibilities Collaborate with stakeholders to understand business needs and translate them into technical requirements. Design, develop, and implement data solutions using Azure Data Engineering technologies. Analyze complex data sets to identify trends, patterns, and insights that drive business decisions. Create and maintain detailed documentation of business requirements, data models, and data flows. Work in an environment where requirements are not always clearly defined, demonstrating flexibility and adaptability. Conduct data quality assessments and implement data governance practices. Provide training and support to end-users on data tools and solutions. Continuously monitor and optimize data processes for efficiency and performance. Qualifications Minimum of 2-4 years of experience as a data analyst with hands-on experience in Azure Data Engineering. Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, and other Azure data services. Strong analytical and problem-solving skills with the ability to work in a fast-paced, ambiguous environment. Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams. Experience with data modeling, ETL processes, and data warehousing. Knowledge of data governance and data quality best practices. Ability to manage multiple projects and priorities simultaneously. Preferred Skills: Experience with other cloud platforms and data engineering tools. Certification in Azure Data Engineering or related fields.