Senior Data Analyst - Azure Synapse, Fabric & Power BI

Talent Corner Hr Services; United States; Remote; USD 85,000 - 110,000; Full time

Job description

We are looking for a skilled Senior Data Analyst with experience in Microsoft Fabric, Azure Synapse Analytics, data modelling, and Power BI. The ideal candidate will be responsible for analyzing and transforming business data, developing dashboards and reports, migrating legacy data workflows, and delivering actionable insights to support business decisions.

Key Responsibilities

• Work with Azure Synapse Analytics and Microsoft Fabric to develop and manage data workflows for analytics and reporting.
• Support the migration and optimization of existing data flows from legacy systems such as OBIEE, JD Edwards (JDE), and CRM platforms to modern Lakehouse architectures.
• Develop and maintain data models across Raw, Silver, and Gold layers to support reporting and analytics requirements.
• Build, maintain, and optimize Power BI dashboards and reports for operational teams and senior management.
• Analyze large datasets to identify trends, patterns, performance gaps, and business opportunities.
• Ensure data accuracy, consistency, integrity, and security across reporting and analytics solutions.
• Collaborate with business, IT, CRM, ERP, and product teams to understand requirements and translate them into effective data solutions.
• Define data standards, validation rules, and quality checks to improve reporting reliability.
• Explore and implement relevant Microsoft Fabric capabilities, including Fabric Lakehouse and Fabric Data Factory.
• Optimize reporting performance, data processing efficiency, and solution costs.

Required Skills & Qualifications

• Strong experience in data analysis, business intelligence, and reporting.
• Hands-on experience with Power BI, including dashboard development, data modelling, and report optimization.
• Strong SQL skills for querying, transforming, and analyzing data.
• Experience with Microsoft Fabric and/or Azure Synapse Analytics.
• Understanding of Lakehouse architecture, Delta Lake, OneLake, and Raw/Silver/Gold data layers.
• Experience working with data from CRM, ERP, or other enterprise systems.
• Knowledge of data validation, data quality, and data governance practices.
• Strong analytical, problem-solving, and stakeholder management skills.

Preferred Skills

• Experience with legacy platforms such as OBIEE and JD Edwards (JDE).
• Familiarity with Fabric Lakehouse and Fabric Data Factory.
• Knowledge of ETL/ELT processes and data pipeline concepts.
• Exposure to Python or PySpark for data analysis and transformation.