<p>SUMMARY OF POSITION: </p><p>The Senior Data Analyst plays a pivotal role in transforming data into actionable insights that drive business decisions and operational excellence across the organization. As a senior member of the Data Team—part of the IT Division—the analyst will lead advanced data modeling, analytics, and visualization efforts, while mentoring peers and ensuring adherence to data governance and quality standards.</p><p><br></p><p>This position partners closely with stakeholders across Finance, Operations, HR, and Project Management to deliver trusted data solutions from our Azure Databricks Lakehouse and connected systems (Deltek Vantagepoint, Dynamics 365, Workday, and others). The ideal candidate is highly analytical, self-driven, and passionate about leveraging data to enable smarter business outcomes.</p><p><br></p><p>ESSENTIAL JOB FUNCTIONS:</p><p>• Lead advanced analytical projects using data sourced from the company’s Azure Databricks lakehouse, ensuring outputs align with strategic business objectives.</p><p>• Design and develop Power BI dashboards leveraging Microsoft Fabric capacity and robust data models for scalability, governance, and performance.</p><p>• Build and maintain data models and transformations in Databricks SQL using Delta tables, Unity Catalog, and Lakehouse architecture best practices.</p><p>• Collaborate with data engineers to enhance ingestion pipelines using Fivetran, Workato, REST APIs, and other connectors.</p><p>• Perform exploratory and diagnostic analyses using SQL, Python (pandas, numpy), and Power BI to uncover business trends, inefficiencies, and improvement opportunities.</p><p>• Ensure data quality and lineage through established data governance frameworks, including metadata documentation, business glossary maintenance, and data issue management.</p><p>• Develop stored procedures and SQL logic to support operational systems such as Deltek Vantagepoint and related financial integrations.</p><p>• Collaborate with business stewards and system owners to validate data accuracy and drive consistency across departments.</p><p>• Mentor junior analysts and help define Power BI development standards, DAX best practices, and model optimization techniques.</p><p>• Communicate insights effectively through visual storytelling, executive dashboards, and data narratives tailored for non-technical audiences.</p><p><br></p><p>EDUCATION & EXPERIENCE</p><p>• Bachelor’s degree in Computer Science, Data Science, Information Systems, Business Analytics, or a related field.</p><p>• Minimum 5–7 years of professional experience in data analytics, BI development, or related technical roles.</p><p>• Experience working with cloud-based data platforms (Azure, Databricks, or Snowflake).</p><p>• Microsoft Certification PL-300 (Power BI Data Analyst) or DP-900 / Databricks Certified Data Analyst preferred.</p>
<p>We are looking for an experienced Oracle EBS Technical Consultant to join our team on a long-term contract basis. This role is based in Irvine, California, and offers an exciting opportunity to work on critical data conversion and extraction projects. The ideal candidate will bring deep expertise in Oracle EBS modules and strong technical skills to ensure successful outcomes.</p><p><br></p><p><strong>Oracle EBS Technical/ Techno-functional Consultant</strong> with strong expertise in <strong>SQL</strong> and <strong>PL/SQL</strong>, and in-depth functional knowledge of the following Oracle E-Business Suite modules: <strong>HR, Payroll, and Advanced Benefits</strong></p><p><br></p><p>Responsibilities:</p><p>• Perform data extraction from various Oracle EBS modules, ensuring accuracy and completeness.</p><p>• Develop and optimize PL/SQL and SQL queries to support data migration processes.</p><p>• Collaborate with cross-functional teams to analyze and structure data for seamless conversion.</p><p>• Provide technical expertise on Oracle EBS Financials and related modules.</p><p>• Troubleshoot and resolve issues related to data queries and extraction processes.</p><p>• Design and implement solutions for efficient data transfer to target systems.</p><p>• Ensure compliance with data integrity and security standards during migration.</p><p>• Monitor and report progress on data migration activities to stakeholders.</p><p>• Document technical processes and methodologies for future reference.</p>
