We are looking for an experienced Business Systems Analyst to join our team in Woodland Hills, California. In this role, you will support and enhance Microsoft Dynamics 365 Finance and Operations (D365 F& O) solutions, working closely with business stakeholders to identify and implement effective system improvements. The ideal candidate will bring strong expertise in financial management modules and thrive in a collaborative, fast-paced environment.<br><br>Responsibilities:<br>• Analyze and assess business requirements to determine feasibility and recommend optimal solutions within the D365 F& O platform.<br>• Provide ongoing support and troubleshooting for the D365 F& O system, addressing issues raised by business teams.<br>• Collaborate with stakeholders to gather, document, and refine business requirements for system enhancements.<br>• Design, develop, and test solutions within the Microsoft Dynamics 365 platform to meet organizational needs.<br>• Support monthly and quarterly system upgrades, ensuring smooth implementation and minimal disruption.<br>• Create and maintain documentation for system design, project specifications, and training materials.<br>• Partner with technical teams to develop and integrate solutions that align with business processes.<br>• Research and document transaction flows to enhance understanding and improve system processes.<br>• Identify opportunities for process improvement and implement best practices to optimize workflows.<br>• Manage time effectively, prioritize tasks, and communicate progress to stakeholders.
<p>Responsibilities:</p><p>Oversees cash flow positions, borrowing needs, and available funds for investments</p><p><br></p><p>Monitors and evaluates financial and operational performance of portfolio companies, identifying trends, risks, and opportunities.</p><p><br></p><p>Supports budgeting, forecasting, and long-term financial planning with business leadership.</p><p><br></p><p>Partners with management teams to track KPIs and operational initiatives, ensuring alignment with value-creation plans.</p><p><br></p><p>Develops standardized reporting packages, dashboards, and analysis for internal stakeholders and investors.</p><p><br></p><p>Conducts benchmarking, and scenario modeling to assess business performance and strategic outlook for current or new acquisitions.</p><p><br></p><p>Reviews monthly investment data on tribal investment funds and complete quarterly performance reports.</p><p><br></p><p>Prepares internal, external, and Fund Committee meeting materials.</p><p><br></p><p>Monitors treasury/bank accounts, trades, and settlements of stocks and bonds, and real estate and mutual fund transactions from third-party managers.</p><p><br></p><p>Evaluates enterprise contracts for financial terms and conditions.</p><p><br></p><p>Contributes to strategic initiatives such as new acquisitions, working capital optimization, or exit readiness.</p><p><br></p><p>Serves as a point of contact for audit activities, tax filings, and compliance documentation.</p><p><br></p><p>Provides detailed analysis related to real estate finance, including asset performance and reporting.</p><p><br></p><p><br></p><p><br></p>
<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul><p><br></p>
