Business Intelligence (BI) Engineer
Responsibilities:
• Build, test, and support enterprise BI and analytics solutions using Microsoft Azure services such as Azure SQL Database, Microsoft Fabric, Azure Synapse Analytics, and Azure Data Lake.
• Create dynamic dashboards, reports, scorecards, and visual storytelling assets in Power BI to support decision-making across the business.
• Manage the Power BI Service environment, including workspace administration, gateway configuration, security setup, deployment workflows, and governance practices.
• Partner with stakeholders to define reporting goals, convert business requirements into scalable data solutions, and deliver meaningful analytical insights.
• Develop and refine semantic layers, dimensional models, and enterprise datasets to improve reporting accuracy, usability, and performance.
• Build and maintain ETL and data integration workflows using tools such as Azure Data Factory, Microsoft Fabric Dataflows, Informatica, and related technologies.
• Apply data security, governance, and quality standards, including row-level security and compliance controls, across reporting platforms.
• Coordinate with onsite, offshore, and cross-functional teams to keep projects on schedule, support delivery milestones, and maintain execution quality.
• Provide technical leadership to BI developers and analysts through mentoring, guidance, reviews, and knowledge sharing.
• Contribute to analytics modernization efforts by recommending cloud-based improvements, supporting self-service reporting, and exploring AI-enabled analytics opportunities.
Qualifications:
• 5+ years of experience in business intelligence, analytics engineering, or related data-focused roles.• Strong hands-on expertise with Microsoft Power BI, including dashboard development, report publishing, and service administration.
• Experience working with Microsoft Fabric, Azure SQL, Azure Synapse Analytics, Azure Data Lake, and other Azure-based data technologies.
• Solid understanding of data modeling, semantic models, dimensional design, and enterprise reporting architecture.
• Background in ETL and data integration development using tools such as Azure Data Factory, Fabric Dataflows, or similar platforms.
• Proficiency in Microsoft SQL and the ability to optimize data solutions for performance, scalability, and reliability.
• Familiarity with SAP S/4HANA, SAP Analytics Cloud, or related enterprise data sources is preferred.
• Ability to work effectively with cross-functional teams, communicate with business stakeholders, and support Agile delivery practices.
Compensation
$47.50-$55.00 HourlyAbout Us
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