We are looking for a skilled Data Analyst to join our team in Los Angeles, California, on a long-term contract basis. This role offers an exciting opportunity to contribute to fraud detection and prevention efforts by leveraging advanced data analytics. You will play a pivotal role in analyzing complex datasets and providing actionable insights to support anti-fraud initiatives.<br><br>Responsibilities:<br>• Analyze large datasets to identify patterns, trends, and anomalies related to suspected fraud.<br>• Develop and implement fraud analytics models to detect and prevent fraudulent activities.<br>• Collaborate with cross-functional teams to investigate potential fraud cases and provide detailed reports.<br>• Monitor and assess the effectiveness of anti-fraud strategies and recommend improvements.<br>• Utilize advanced data analysis techniques to enhance fraud detection processes.<br>• Prepare visualizations and presentations to communicate findings to stakeholders.<br>• Conduct thorough investigations into flagged transactions or activities and document findings.<br>• Support the development of automated tools and processes for fraud prevention.<br>• Stay updated on industry best practices and emerging technologies related to fraud analytics.<br>• Ensure compliance with regulatory requirements and company policies in all investigations.
<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 Analyst to join our team in Los Angeles, California. This is a Contract position with a hybrid work schedule, requiring three days onsite and two days remote each week. The successful candidate will play a vital role in supporting the organization’s risk assessment program, ensuring compliance with regulatory standards, and collaborating across departments to enhance processes.<br><br>Responsibilities:<br>• Conduct periodic internal controls testing to support the organization’s risk assessment program.<br>• Monitor and analyze compliance-related issues, escalating concerns as necessary to ensure adherence to regulatory standards.<br>• Provide expertise in areas such as document review, gap analysis, and Agile Scrum methodologies.<br>• Assist in developing and updating policies and procedures related to compliance with regulations, including those pertaining to the PATRIOT Act.<br>• Act as a liaison between departments to facilitate communication and ensure alignment with compliance and risk management goals.<br>• Build and maintain strong relationships with internal and external stakeholders while delivering exceptional customer service.<br>• Collaborate with cross-functional teams to identify and address gaps in business processes.<br>• Utilize sound industry practices to ensure consistent and effective risk management approaches.<br>• Support the organization in achieving compliance objectives through thorough analysis and strategic recommendations.
<p>We are seeking a highly skilled and detail-oriented <strong>Financial Crimes Analyst II</strong> to join our Finance team. This mid-level role plays a key part in driving financial insights, supporting strategic decision‑making, and ensuring accurate and timely financial reporting. The ideal candidate combines strong analytical capabilities with a solid understanding of banking operations, financial modeling, and data interpretation.</p><p><strong>Key Responsibilities</strong></p><ul><li><strong>Financial Reporting & Analysis</strong></li><li>Prepare, analyze, and interpret monthly, quarterly, and annual financial statements.</li><li>Perform variance analyses and identify key trends, risks, and opportunities affecting financial performance.</li><li>Support forecasting, budgeting, and long-range planning processes.</li><li><strong>Data Modeling & Forecasting</strong></li><li>Develop and maintain complex financial models to support scenario planning, profitability analysis, and business cases.</li><li>Provide insights that guide strategic initiatives, cost optimization, and revenue growth.</li><li><strong>Operational & Business Partner Support</strong></li><li>Collaborate with business units to evaluate financial results, providing recommendations to improve performance.</li><li>Assist in assessing new products, pricing strategies, and process enhancements.</li><li><strong>Regulatory & Compliance Support</strong></li><li>Ensure financial reports meet internal controls and regulatory requirements.</li><li>Assist with internal and external audits as needed.</li><li><strong>Process Improvement</strong></li><li>Identify opportunities to streamline financial processes, enhance reporting efficiency, and improve data accuracy.</li><li>Support implementation of new systems, tools, or reporting enhancements.</li></ul><p><strong>Qualifications</strong></p><ul><li>Bachelor's Degree, degree in Business Administration, Criminal Justice or related area and at least three years of BSA experience in a financial institution.</li><li>2+ years of relevant finance or banking experience.</li><li>Strong proficiency in Excel and financial modeling; experience with financial systems (e.g., Oracle, SAP, Workday Adaptive) preferred.</li><li>Solid understanding of financial statements, banking products, and analytical methodologies.</li><li>Excellent communication skills with the ability to translate data into actionable insights.</li><li>High attention to detail, problem-solving ability, and a strong sense of ownership.</li></ul><p><strong>Preferred Skills</strong></p><ul><li>Experience in financial services or banking.</li><li>Knowledge of regulatory reporting requirements.</li><li>Familiarity with data visualization tools (e.g., Power BI, Tableau).</li></ul><p><br></p>
<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>
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>Our client is a leader in their industry and seeing a QA Analyst with expertise in automotive finance, specifically QA with Mainframe experience to join our team in Southern California. In this long-term contract position, you will play a pivotal role in ensuring the accuracy, compliance, and performance of our mainframe-based Customer Account Servicing System. This position involves working on complex systems and requires a hands-on approach to manual testing, defect identification, and test process optimization.</p><p><br></p><p>Responsibilities:</p><p>• Validate updates and upgrades to the Customer Account Servicing System to ensure compliance and functionality.</p><p>• Analyze system bundles to classify changes as enhancements, corrections, or regulatory updates, and select appropriate testing methods.</p><p>• Develop and execute manual test scripts in Quality Center for batch processes, online components, and interface impacts.</p><p>• Perform production file comparisons by replaying data through batch processes and documenting output discrepancies.</p><p>• Plan and implement test enhancements for custom modules to ensure compatibility and stability.</p><p>• Collaborate with business stakeholders to review regulatory items and obtain necessary approvals.</p><p>• Maintain detailed documentation linking test scripts, defects, approvals, and results for audit readiness.</p><p>• Identify and report system defects, conduct root-cause analyses, and work with developers to resolve issues.</p><p>• Manage and organize test data, batch input files, and credentials for mainframe testing environments.</p><p>• Ensure adherence to change control practices and maintain traceability throughout the testing process.</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>
<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>For immediate response please message Valerie Nielsen on LinkedIn or email!</strong></p><p><br></p><p><strong>Job Title:</strong> Senior Data Engineer</p><p> <strong>Location:</strong> Hybrid – Westwood (Los Angeles, CA) near University of California, Los Angeles</p><p> <strong>Compensation:</strong> $175,000 – $185,000 base salary + 10% annual bonus</p><p> <strong>Employment Type:</strong> Full-Time</p><p><br></p><p>Overview</p><p>We are seeking a <strong>Senior Data Engineer</strong> to join a growing data team in <strong>Westwood, CA</strong>. This role will focus on designing and building scalable data pipelines, supporting analytics and reporting initiatives, and improving data infrastructure across the organization.</p><p>The ideal candidate is highly experienced with <strong>Snowflake, dbt, Python</strong>, and modern data pipeline architecture, and enjoys working closely with analytics and business teams to deliver reliable, high-quality data. Experience integrating data from CRM platforms such as <strong>Salesforce</strong> is a strong plus.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain <strong>scalable data pipelines</strong> supporting analytics, reporting, and operational data needs</li><li>Build and optimize data models and transformations using <strong>dbt</strong> within a <strong>Snowflake</strong> data warehouse environment</li><li>Develop robust ETL/ELT workflows using <strong>Python</strong> and modern data engineering best practices</li><li>Collaborate with analytics teams to deliver clean, reliable datasets used in <strong>Power BI</strong> dashboards and reporting</li><li>Ensure data quality, reliability, and performance across the data platform</li><li>Optimize Snowflake warehouse performance and manage cost-efficient data storage and compute usage</li><li>Integrate data from internal and external systems, including CRM and SaaS platforms</li><li>Partner with stakeholders across engineering, product, and business teams to define data requirements and solutions</li><li>Maintain documentation and promote data engineering standards and best practices</li></ul><p><br></p><p><br></p>
<p>We are seeking a Senior Data Engineer – Ingest to help transform data into meaningful insights and power innovation across the organization. In this role, you will work with a collaborative team of technologists to build scalable data solutions, integrate diverse data sources, and strengthen the core data platform. Your engineering expertise will directly support analytics, data science, operations, and key business stakeholders.</p><p>If you’re passionate about building high‑quality data systems that make a measurable impact, this role offers the opportunity to shape the future of a large, data‑driven organization.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Maintain, update, and expand configuration‑driven data pipelines within the core data platform.</li><li>Build tools and services supporting data discovery, lineage, governance, and privacy.</li><li>Partner with software engineers, data engineers, architects, and product managers to deliver reliable and scalable data solutions.</li><li>Help define and document data standards, naming conventions, pipeline best practices, and system guidelines.</li><li>Ensure the reliability, accuracy, and operational efficiency of datasets to meet SLAs.</li><li>Participate in Agile/Scrum ceremonies and contribute to ongoing process improvements.</li><li>Collaborate closely with users and stakeholders to understand needs and prioritize enhancements.</li><li>Maintain detailed technical documentation to support data quality, governance, and compliance requirements.</li></ul><p><br></p>
<p>Data Manager</p><p> Downtown Los Angeles (On-Site)</p><p> Compensation: Up to $160,000</p><p><br></p><p>This is a high-impact leadership role responsible for transforming how data is defined, managed, and leveraged across the business.</p><p><br></p><p>As Data Manager, you will own the enterprise data roadmap and serve as a strategic partner to leadership across e-commerce, supply chain, retail, customer insights, product development, and buying/planning.</p><p>You will play a critical role in:</p><ul><li>Establishing a single source of truth across departments</li><li>Improving data integrity and governance</li><li>Migrating the organization away from spreadsheet-heavy workflows</li><li>Building scalable systems and infrastructure to deliver faster, more reliable insights</li><li>Elevating analytics maturity across all functional teams</li></ul><p>This role combines hands-on technical execution with strategic leadership and cross-functional influence.</p><p><br></p><p>What You’ll Do</p><p>B<strong>usiness Partnership & Insights</strong></p><ul><li>Collaborate with stakeholders across e-commerce, supply chain, retail, customer insights, and merchandising</li><li>Translate ambiguous business questions into structured data problems</li><li>Deliver descriptive, predictive, and prescriptive insights that drive measurable business impact</li><li>Present findings through clear data storytelling that influences decision-making</li></ul><p><strong>Data Strategy & Infrastructure</strong></p><ul><li>Build and scale systems that ensure high product data integrity</li><li>Reduce reliance on spreadsheets by implementing more powerful, sustainable solutions</li><li>Leverage modern data platforms such as BigQuery, Looker, and NetSuite Analytics Warehouse</li><li>Define and enforce governance, master data management, and reporting standards</li></ul><p><strong>Execution & Leadership</strong></p><ul><li>Develop and execute a forward-looking data roadmap</li><li>Identify structural improvements to accelerate insight delivery</li><li>Increase speed and quality of execution across data initiatives</li><li>Raise analytics capability and technical acumen across teams</li></ul><p>If interested, apply now and direct message Reid Gormly on LinkedIN.</p>