Job Title: Analytics Engineer
Location: Fully Remote, must work Central Time hours (U.S. only, excluding California, North Dakota, Washington, Wyoming, and Puerto Rico)
Compensation: Up to $100k annually
PANEL-5 DRUG TEST REQUIRED INCLUDING THC
SUMMARY
We are seeking an experienced Analytics Engineer to join our team. This role involves developing, maintaining, and optimizing business intelligence and analytics solutions to drive data-driven decisions. The ideal candidate will have expertise in PowerBI, SSRS, SSIS, Azure Data Factory (ADF), Azure Synapse Analytics, Fabric, and data warehousing, with a focus on semantic data modeling for supply chain operations.
KEY RESPONSIBILITIES
• Design, develop, and maintain business intelligence solutions to support supply chain operations and decision-making.
• Create and optimize PowerBI dashboards and reports for key stakeholders.
• Develop and optimize SSRS and SSIS packages for data integration and analysis.
• Use Azure Data Factory (ADF) to manage data workflows.
• Implement Azure Synapse Analytics for scalable data warehousing solutions.
• Collaborate with IT and business teams to design and implement data models and semantic layers.
• Ensure data quality, integrity, and security across platforms.
• Provide technical support for analytics tools, troubleshooting as needed.
• Continuously improve analytics processes to meet business needs.
REQUIRED QUALIFICATIONS
• Bachelor's degree in Computer Science, IT, or a related field.
• 5+ years of experience in analytics development, particularly with PowerBI, SSRS, SSIS, Azure Synapse Analytics, and Azure Data Factory.
• Proficiency in data warehousing, data modeling, and semantic layers.
• Strong knowledge of ETL processes and related tools.
• Experience with Microsoft Azure, Visual Studio IDE, Python, C#, and PySpark.
• Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) are a plus.
• Strong problem-solving, attention to detail, and troubleshooting skills.
• Excellent communication and collaboration abilities to work across teams.
• Ability to explain technical concepts to business stakeholders.
PREFERRED QUALIFICATIONS
• Knowledge of data security practices and compliance (e.g., GDPR, HIPAA).
• Experience with Azure Fabric for modern data architectures.
• Familiarity with advanced analytics tools such as machine learning or AI for predictive analytics.
AimHire is an equal opportunity employer.
