<p>As part of the Analytics & Insights team, this senior‑level engineer will build and maintain data models, visualizations, dashboards, and custom web applications that support Studio operational teams and Studio Executives. This is a highly technical, hands‑on role requiring deep expertise across Power BI, data engineering, modern cloud data platforms, and front‑end reporting frameworks.</p><p>The ideal candidate is a self‑starter who can take initiative, drive technical solutions independently, and solve complex problems with minimal guidance. This role also works in an agile environment and leverages AI‑assisted development tools to accelerate delivery.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain Power BI dashboards, data models, semantic layers, and advanced DAX/Power Query logic.</li><li>Migrate and modernize existing Power BI dashboards into a React‑based reporting framework.</li><li>Build and maintain custom web applications using React and TypeScript.</li><li>Create and optimize ETL/ELT pipelines using Databricks (primary) and Snowflake (secondary).</li><li>Work extensively with SQL, Python, and data warehousing architectures including medallion/lakehouse patterns.</li><li>Author, diagnose, and modify Postgres objects (views, functions, stored procedures).</li><li>Use AI‑assisted coding tools (e.g., Cursor, Claude Code) for prototyping, documentation, and dev acceleration while meeting code quality standards.</li><li>Translate business requirements into technical specifications for dashboards, data models, and applications.</li><li>Collaborate with architects and technical leads to implement new standards and drive the studio’s data strategy forward.</li><li>Work effectively with both onsite and remote team members.</li></ul>
<p>We are looking for an experienced Business Analyst to join our team in Southern California for a long-term contract position. The ideal candidate will excel at translating business requirements into actionable technical specifications, focusing on digital analytics, user behavior tracking, and marketing technology strategies.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with business teams to analyze and document requirements, ensuring clear communication with technical stakeholders.</p><p>• Develop detailed analytics specifications for web and mobile platforms to track user actions and marketing performance.</p><p>• Identify essential data points and events for effective user behavior tracking.</p><p>• Create comprehensive documentation for analytics requirements, including event triggers and parameters, to guide development teams.</p><p>• Partner with developers to ensure accurate implementation of analytics tags across various systems.</p><p>• Conduct quality assurance checks to validate that analytics tracking aligns with defined requirements.</p><p>• Perform audits on existing analytics systems to ensure data accuracy and compliance with privacy standards.</p><p>• Recommend strategies for integrating marketing technology systems with customer data platforms, CRMs, and personalization tools.</p><p>• Support Agile workflows by managing project backlogs, facilitating sprint planning, and ensuring timely delivery.</p><p>• Maintain technical documentation, including system specifications, design documents, and deployment plans.</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>
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>Overview</p><p>We are seeking a detail‑oriented Business & Data Analyst to support business analysis and data analytics initiatives across one or more projects. This role will partner closely with business stakeholders, technical teams, and project leadership to analyze business processes, define requirements, perform data analysis, and support data‑driven decision making.</p><p>The ideal candidate combines strong analytical skills with the ability to translate business needs into clear technical and data requirements.</p><p><br></p><p>Key Responsibilities</p><p>Business Analysis</p><ul><li>Collaborate with stakeholders to understand business objectives, processes, and requirements</li><li>Analyze current business operations to identify gaps, inefficiencies, and opportunities for automation or enhancement</li><li>Identify operational improvement opportunities and recommend practical, data‑driven solutions</li><li>Gather, refine, validate, and document complex business requirements, dependencies, risks, and issues</li><li>Translate high‑level requirements into detailed functional requirements, technical specifications, and user stories</li><li>Ensure requirements are clear, concise, and aligned with overall business goals</li></ul><p>rData Analysis & Reporting</p><ul><li>Collect, clean, and analyze data to uncover trends, patterns, and actionable insights</li><li>Conduct data profiling on new data domains to support analytics and ETL development</li><li>Develop and maintain data models, dashboards, reports, and KPIs</li><li>Translate business reporting needs into technical requirements for dashboards and analytics solutions</li><li>Interpret and communicate insights effectively to both technical and non‑technical audiences</li></ul><p>dCross‑Functional Collaboration</p><ul><li>Partner with developers, designers, subject matter experts, and business stakeholders to ensure accurate requirement implementation</li><li>Support the team lead with business and data analysis across assigned projects</li><li>Participate in Agile ceremonies including backlog grooming, sprint planning, standups, and retrospectives</li><li>Lead System Integration Testing (SIT) activities related to data migration and validation</li><li>Assist with UAT, data quality validation, and post‑deployment verification</li><li>Present findings, insights, and project updates to stakeholders at varying technical levels</li></ul><p> Additional Responsibilities</p><ul><li>Prepare documentation including:</li><li>User stories</li><li>Acceptance criteria</li><li>Process maps</li><li>Workflow diagrams</li><li>Monitor data quality issues and support resolution of discrepancies between source systems and curated dashboards</li><li>Contribute to continuous improvement efforts by recommending tools, processes, and best practices for business analysis and data analytics</li></ul>
<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>
<p>We are looking for an experienced Data Analyst to join our team on a long-term contract basis for a global finance firm. This role is fully remote. This role requires someone with strong attention to detail who excels in data reconciliation, fraud investigation, and analytics. You will play a key role in analyzing data for accuracy and identifying potential discrepancies or fraudulent activities.</p><p><br></p><p><strong><u>Responsibilities:</u></strong></p><p>• Conduct regular account reconciliations to ensure data consistency and accuracy.</p><p>• Investigate suspected fraudulent activities using advanced analytics tools.</p><p>• Perform in-depth data analysis to identify trends and anomalies.</p><p>• Utilize VLOOKUP and other Excel functions to organize and interpret complex datasets.</p><p>• Collaborate with cross-functional teams to address data discrepancies and improve processes.</p><p>• Develop and implement anti-fraud strategies based on identified risks.</p><p>• Maintain detailed documentation of findings and reconciliation processes.</p><p>• Provide actionable insights to support decision-making and enhance operational efficiency.</p><p>• Ensure compliance with relevant regulations and standards during data analysis and investigations.</p>
We are looking for an experienced SAP FI/CO Business Analyst to join our team in Santa Monica, California. In this role, you will bridge the gap between business needs and technical solutions, ensuring the seamless implementation and optimization of SAP FI/CO modules. The ideal candidate will possess strong analytical skills and a deep understanding of finance processes, enabling them to deliver impactful solutions tailored to organizational goals.<br><br>Responsibilities:<br>• Analyze business requirements and translate them into effective SAP FI/CO solutions in collaboration with development teams.<br>• Configure, test, and implement SAP FI/CO modules, including General Ledger, Accounts Payable, Accounts Receivable, Banking, Fixed Assets, Taxation, and Special Purpose Ledger.<br>• Partner with cross-functional teams such as Finance, Rights Management, and Sales Operations to gather requirements and deliver customized solutions.<br>• Address system issues, develop enhancements, and implement process improvements within the SAP environment.<br>• Provide support for finance and accounting projects, including SAP system upgrades and integrations.<br>• Draft detailed functional specifications and collaborate with developers to create enhancements and reports.<br>• Offer expertise in integrating SAP FI/CO with downstream systems like BW and Rights Management systems.<br>• Lead configuration initiatives and provide guidance to ensure compliance with business objectives.<br>• Conduct thorough testing and validation of solutions to ensure accuracy and efficiency.<br>• Deliver user training and ongoing support to maximize system utilization.