We are looking for an experienced HRIS Analyst to join our team in Los Angeles, California. This role involves configuring, maintaining, and supporting HR and time management systems, ensuring seamless integration and functionality. The ideal candidate will collaborate closely with business owners and technical teams to deliver innovative solutions that meet organizational needs.<br><br>Responsibilities:<br>• Partner with business owners and technical teams to gather requirements and create detailed functional documentation.<br>• Conduct gap analyses to identify system needs and provide recommendations for solutions.<br>• Configure, troubleshoot, and maintain HR and workforce management systems, including integrations and customizations.<br>• Provide production support for HR and time management applications, ensuring timely and high-quality responses to customer requests.<br>• Develop and implement functional designs, configurations, and support for HRIS applications with a primary focus on HR and time attendance systems.<br>• Evaluate the application needs of various departments and recommend suitable system solutions.<br>• Design, test, and enhance internal application systems, databases, and operational environments.<br>• Create and configure dashboards and reports using business intelligence tools such as Power BI.<br>• Prepare test data, review code, test applications, and oversee the implementation of system builds.
<p><strong>Job Title</strong>: Data & Financial Operations Analyst </p><p><strong>Location</strong>: Santa Fe Springs </p><p><strong>About Our Client:</strong> Join a nationwide leader in the distribution industry where innovation, precision, and performance drive everything we do. We’re looking for a data-savvy powerhouse who thrives at the intersection of sales analytics, financial operations, and business intelligence — someone who doesn’t just crunch numbers but transforms them into compelling stories that guide strategic decisions. </p><p><br></p><p><strong>What You’ll Do: </strong></p><ul><li>Master the Numbers: Own weekly sales projection models in Excel, ensuring leadership has accurate, real-time insights to forecast growth. </li><li>Build Powerful Dashboards: Design dynamic, visually impactful dashboards (Excel, Power BI, or Tableau) that give decision-makers instant clarity on performance trends. </li><li>Deliver High-Impact Reports: Create and present monthly performance and trend reports by extracting, cleansing, and analyzing data from large databases. </li><li>Dig Deep: Use data mining techniques to identify sales opportunities, operational efficiencies, and revenue gaps. </li><li>Ensure Financial Precision: Review credit card statements and GL-coded entries for accuracy, compliance, and cost control. </li><li>Protect Profitability: Audit billing systems and pricing terms to confirm alignment with contracts and margin expectations. </li><li>Elevate Insights: Partner with sales, finance, and operations teams to translate raw data into actionable business strategies.</li></ul>
<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>
<p><strong>Lead Data Architect / Senior Data Modeler</strong></p><p><strong>Location:</strong> Onsite in Burbank, CA (4 days/week, Mon–Thu)</p><p><strong>Team:</strong> Studio Technology – Data Services</p><p><br></p><p><strong>About the Role</strong></p><p>The Studio Technology group at Walt Disney Studios empowers filmmakers, analysts, and business partners with scalable, secure, and innovative data solutions. As part of the Data Services team, you will shape how the Studio builds, organizes, and delivers data — from financial systems to marketing analytics to consumer engagement products.</p><p>We are looking for a Lead Data Architect whose primary passion is data modeling and data architecture, not software architecture. This person lives and breathes semantic models, dimensional design, medallion-layer structuring, and data-as-a-product principles. The ideal candidate is doing this work hands-on today and has done it consistently in recent roles — this is their core craft, not an adjacent skill.</p><p><br></p><p><strong>What You’ll Do (Day-to-Day)</strong></p><p>● Partner with business stakeholders and product managers to understand data requirements and translate them into scalable data strategies and architecture.</p><p>● Design and own semantic models, dimensional models, entity definitions, and medallion-layer data structures (Bronze/Silver/Gold).</p><p>● Determine what gets built where and why, ensuring consistent modeling patterns across projects and data domains.</p><p>● Define and implement data-as-a-product approaches, including domain boundaries, ownership models, SLAs, and documentation standards.</p><p>● Work closely with data engineers to guide how assets should be built, structured, and optimized.</p><p>● Establish and maintain data standards, governance practices, naming conventions, and documentation for modeling and architecture.</p><p>● Provide technical leadership on data modeling best practices across teams, including coaching junior members.</p><p>● Evaluate modern data technologies and recommend tools that improve modeling consistency, performance, and quality.</p><p>● Collaborate with analytics, BI, and data science teams to design models that support reporting, ML/AI workloads, and cross-domain analytics.</p>
