<p>We are looking for a skilled IT Asset Manager to join our team. In this role, you will oversee the management and optimization of IT assets, including hardware and software, throughout their lifecycle. You will play a key part in ensuring compliance with organizational and regulatory standards while providing valuable insights for budgeting and capacity planning.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement IT asset lifecycle programs to manage hardware and software assets effectively.</p><p>• Maintain accurate records of asset additions, modifications, retirements, and disposals in relevant systems.</p><p>• Collaborate with asset owners to conduct regular validations and attestations of IT assets.</p><p>• Monitor and track asset remediation initiatives, providing detailed reports and performance metrics.</p><p>• Prepare documentation and reports related to compliance, budgeting, and cost summaries for IT assets.</p><p>• Establish strategies to optimize technology spending and improve asset management processes.</p><p>• Ensure compliance with regulatory standards and organizational policies regarding IT asset management.</p><p>• Provide trend analysis and recommendations for future capacity planning and budget allocations.</p><p>• Create standardized workflows and reports for IT asset management systems, such as ServiceNow.</p><p>• Support remote workforce asset management and ensure the accuracy of portfolio data</p>
We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Jenkintown, Pennsylvania. As a key contributor, you will design, develop, and implement advanced data solutions to support business analytics and decision-making processes. This role requires a strong technical background and a collaborative mindset to drive innovation and optimize data platforms.<br><br>Responsibilities:<br>• Design and implement dimensional and semantic data models to enhance business analytics and reporting capabilities.<br>• Develop and optimize data pipelines using modern orchestration tools like Apache Airflow or Azure Data Factory.<br>• Create and manage interactive dashboards and visualizations using Power BI, ensuring accuracy and usability.<br>• Leverage Microsoft Fabric architecture to integrate centralized semantic models and external data platforms.<br>• Administer cloud-based data warehouses like Azure Synapse or Snowflake, ensuring performance and scalability.<br>• Collaborate with cross-functional teams to address data governance, quality frameworks, and compliance standards.<br>• Utilize Python and data science libraries to process, analyze, and develop machine learning workflows.<br>• Implement DataOps methodologies, including CI/CD practices and version control for data solutions.<br>• Conduct advanced statistical analysis and predictive modeling to inform business strategies.<br>• Partner with stakeholders to translate technical concepts into actionable insights for diverse audiences.
