Overview
Skills
Job Details
Job Title: Azure Data Analyst
Location: Hybrid - Seattle, WA
Employment Type: Contract
Job Summary:
We are looking for an experienced Azure Data Analyst to design, develop, and manage data analytics solutions on the Microsoft Azure platform. The ideal candidate will have strong analytical skills, a solid understanding of Azure data services, and the ability to transform raw data into actionable business insights.
Key Responsibilities:
Design, build, and maintain data pipelines using Azure Data Factory (ADF) and Synapse Analytics.
Develop and manage Power BI dashboards and reports for data visualization and business intelligence.
Work with Azure SQL Database, Data Lake, and Databricks to manage and analyze structured and unstructured data.
Perform data cleansing, transformation, and modeling to ensure high data quality and accuracy.
Collaborate with data engineers, data scientists, and business stakeholders to define KPIs and reporting needs.
Optimize data workflows for performance, scalability, and cost efficiency in Azure.
Implement data governance, security, and compliance best practices.
Monitor and troubleshoot Azure data services and analytics environments.
Required Skills & Qualifications:
Bachelor s degree in Computer Science, Information Systems, Data Analytics, or related field.
8+ years of experience in data analytics or BI, with at least 3 years on Microsoft Azure.
Strong experience with:
Azure Data Factory (ADF)
Azure Synapse Analytics / SQL Data Warehouse
Azure Data Lake Storage (ADLS)
Power BI
Azure SQL / Databricks / PySpark (optional)
Proficiency in SQL, DAX, and data modeling.
Understanding of ETL/ELT processes, data pipelines, and data integration.
Experience in performance tuning and cost optimization within Azure environments.
Excellent communication and problem-solving skills.
Preferred Qualifications:
Microsoft Certified: Data Analyst Associate (Power BI) or Azure Data Engineer Associate.
Experience with Python, R, or machine learning pipelines.
Knowledge of DevOps and CI/CD in Azure environments.
Key Tools & Technologies:
Azure Data Factory
Azure Synapse / SQL
Power BI
Azure Databricks
Azure Data Lake
DAX, SQL, Python (optional)