Data Analyst

Job Title: Azure Data Analyst – ADF & Data Pipelines Location: Remote (USA – PST Time Zone) Job Type: Contract 12+ Months (W2 only) Job Overview: We are seeking a highly skilled Azure Data Analyst with strong experience in Azure Data Factory (ADF) and cloud-based data pipelines. The ideal candidate will focus on analyzing, transforming, and preparing data for reporting and decision-making, while leveraging Azure tools to automate and optimize workflows. You will collaborate closely with business teams and AI/ML stakeholders to provide actionable insights and support data-driven decisions. Key Responsibilities: • Analyse, clean, transform, and validate large datasets from multiple sources. • Work with structured and semi-structured data in Azure environments, including ADF, Synapse, and Azure SQL. • Build, monitor, and maintain data pipelines in ADF to support analytics and reporting. • Collaborate with stakeholders to define data mapping, business rules, and transformation logic • Automate data workflows and integrate with APIs or other Azure services • Develop dashboards, reports, and visualizations to communicate insights to business users. • Support data quality, governance, and documentation initiatives. • Collaborate with AI/ML teams to prepare and deliver data for advanced analytics projects. Required Skills & Experience: • 5+ years of experience as a Data Analyst or similar data-focused role. • Strong hands-on experience with Azure Data Factory (ADF) – pipelines, triggers, and data flows. • Advanced SQL skills for querying, transforming, and analyzing large datasets. • Experience with Python, R, or similar scripting languages for data analysis and automation. • Familiarity with Azure Synapse, Databricks, and Azure SQL. • Experience with data visualization tools (Power BI, Tableau, or similar). • Knowledge of data pipelines, ETL processes, and cloud-based data management. Nice to Have: • Experience with AI-assisted data analysis or AI/ML workflows. • Knowledge of CI/CD in Azure DevOps for data workflows. • Familiarity with data governance, data quality, or master data management tools. • Prior experience working with remote or distributed teams.