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>We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Glendale, California. The ideal candidate will play a pivotal role in analyzing data to identify trends, detect fraudulent activity, and support decision-making processes. This position offers an excellent opportunity to work on meaningful projects while leveraging your expertise in fraud analytics and data investigation.</p><p><br></p><p>Responsibilities:</p><p>• Analyze large datasets to uncover patterns and anomalies that may indicate fraudulent activity.</p><p>• Develop and implement fraud detection models and algorithms to enhance risk management.</p><p>• Investigate suspicious transactions and activities to identify potential fraud cases.</p><p>• Collaborate with cross-functional teams to design strategies for fraud prevention and mitigation.</p><p>• Prepare detailed reports and visualizations to communicate findings to stakeholders clearly.</p><p>• Monitor and refine anti-fraud systems based on emerging threats and trends.</p><p>• Conduct research to stay informed about new fraud schemes and data analysis techniques.</p><p>• Ensure data integrity and accuracy while working with sensitive information.</p><p>• Provide actionable insights that help drive business decisions and improve operational efficiency.</p>
We are looking for a talented Data Engineer to join our team in Glendale, California. In this long-term contract role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and platforms that support critical business operations. Through collaboration with cross-functional teams, you will contribute to innovative data solutions that enhance decision-making processes and drive operational excellence.<br><br>Responsibilities:<br>• Develop, maintain, and optimize data pipelines to support the Core Data platform.<br>• Create tools and services to enhance data discovery, governance, and privacy.<br>• Collaborate with product managers, architects, and software engineers to ensure the success of data platforms.<br>• Apply technologies such as Airflow, Spark, Databricks, Delta Lake, and Kubernetes to build advanced data solutions.<br>• Establish and document best practices for pipeline configurations, naming conventions, and operational standards.<br>• Monitor and ensure the accuracy, reliability, and efficiency of datasets to meet service level agreements (SLAs).<br>• Participate in agile and scrum ceremonies to improve collaboration and team processes.<br>• Foster relationships with stakeholders to understand their needs and prioritize platform enhancements.<br>• Maintain detailed documentation to support data governance and quality initiatives.
<p><strong>***Please email Valerie Nielsen for immediate response*** </strong></p><p><br></p><p><strong>Job Title:</strong> Data Engineer</p><p> <strong>Location:</strong> West Los Angeles, CA (Onsite)</p><p> <strong>Salary:</strong> $150,000 Base + Bonus</p><p><strong>Overview</strong></p><p> We are seeking a <strong>Data Engineer</strong> to join our team onsite in <strong>West Los Angeles</strong>. This role is ideal for someone early in their career who has strong technical fundamentals, enjoys working with data, and has curiosity around modern AI tools. The ideal candidate has a strong analytical mindset and enjoys solving complex data problems while building scalable pipelines and data models.</p><p><strong>Responsibilities</strong></p><ul><li>Build, maintain, and optimize data pipelines and ETL processes</li><li>Write efficient and scalable <strong>SQL and Python</strong> code for data transformation and analysis</li><li>Work with cloud data platforms in <strong>AWS or Azure</strong></li><li>Support data modeling, data warehouse development, and reporting pipelines</li><li>Collaborate with analytics and product teams to deliver clean, reliable datasets</li><li>Explore and leverage <strong>AI tools (e.g., Claude or similar)</strong> to improve workflows and productivity</li><li>Ensure data quality, performance, and scalability across systems</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><strong>***For immediate response please email Valerie Nielsen***</strong></p><p><br></p><p><strong>Job Title:</strong> Machine Learning Engineer / Data Engineer</p><p> <strong>Location:</strong> Culver City, CA (Onsite 4 days per week)</p><p> <strong>Compensation:</strong> $200,000 Base + Bonus/Equity (if applicable)</p><p><strong>Overview</strong></p><p> We are seeking a <strong>Machine Learning Engineer / Data Engineer</strong> to help build scalable data and machine learning platforms that power intelligent products and decision systems. This role will focus on developing infrastructure and pipelines that enable multiple teams to leverage advanced analytics, real-time decisioning, and modern AI capabilities including LLM-based applications.</p><p>The ideal candidate has experience building <strong>data and ML platforms used across an organization</strong>, and enjoys working at the intersection of <strong>data engineering, machine learning infrastructure, and production AI systems</strong>.</p><p><strong>Responsibilities</strong></p><ul><li>Design and build <strong>scalable data and machine learning platforms</strong> used by multiple internal teams</li><li>Develop and maintain <strong>ML pipelines, feature stores, and training workflows</strong></li><li>Build infrastructure supporting <strong>LLM-powered applications</strong>, including embeddings, vector search, and <strong>RAG pipelines</strong></li><li>Develop systems for <strong>real-time decisioning</strong>, including pricing, personalization, and recommendation engines</li><li>Build and maintain <strong>experimentation platforms and A/B testing infrastructure</strong></li><li>Optimize data pipelines and ML workflows for <strong>performance and scalability</strong>, including GPU-based training environments</li><li>Collaborate with product, engineering, and data teams to operationalize machine learning models in production</li></ul><p><br></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>Our client is seeking a Senior AWS Data Engineer for a long term, multi-year assignment.</strong></p><p><br></p><p><strong>This role is onsite 4 days/week in Torrance, CA. </strong></p><p><br></p><p>This role is to support and enhance enterprise business intelligence and analytics environments. This role focuses on designing, building, and maintaining scalable data pipelines and cloud‑based data platforms using AWS services. The ideal candidate brings deep hands‑on experience with AWS Glue, PySpark, Redshift, and serverless architectures, along with strong SQL and data analysis skills.</p><p>This role will collaborate closely with architecture, security, compliance, and development teams to ensure data solutions are performant, secure, and compliant with regulatory requirements.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines using AWS Glue with PySpark for large‑scale data processing</li><li>Develop and support serverless integrations using AWS Lambda for event‑driven workflows and system integrations</li><li>Design and optimize Amazon Redshift data warehouse solutions, including:</li><li>Advanced SQL analytics</li><li>Stored procedures</li><li>Performance tuning</li><li>Lead implementation of secure vendor file transfer and ingestion solutions using AWS Transfer Family</li><li>Design and implement database migration and replication pipelines using AWS Database Migration Service (DMS)</li><li>Build and manage workflow orchestration using Apache Airflow or similar orchestration tools</li><li>Analyze data quality, transformation logic, and pipeline performance using SQL and data analysis techniques</li><li>Troubleshoot and resolve production data pipeline and integration issues across AWS services</li><li>Provide technical guidance to development team members on:</li><li>AWS best practices</li><li>Cost optimization</li><li>Performance optimization</li><li>Partner with enterprise architecture, security, and compliance teams to ensure SOX and regulatory compliance</li></ul>
<p>We are seeking an experienced Senior Business Intelligence Developer to design, develop, and support enterprise‑level reporting and analytics solutions. This role focuses on building high‑performance dashboards, semantic layers, and analytical datasets using Power BI, SAP BusinessObjects, and complex SQL across multiple database platforms.</p><p>The ideal candidate has deep BI development experience, strong data modeling skills, and the ability to partner closely with business stakeholders, data engineering, and architecture teams to deliver accurate, scalable reporting solutions.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain enterprise BI reports, dashboards, and analytical solutions</li><li>Build advanced dashboards and data models using Power BI, including DAX and performance optimization</li><li>Design and support enterprise reporting solutions using SAP BusinessObjects</li><li>Partner with business stakeholders to gather, analyze, and document reporting and analytics requirements</li><li>Develop complex SQL queries, stored procedures, and optimized data retrieval logic</li><li>Perform backend data analysis across SQL Server, DB2, and Amazon Redshift databases</li><li>Design optimized datasets and semantic layers to support BI and analytics tools</li><li>Troubleshoot data discrepancies, reporting inconsistencies, and performance issues</li><li>Implement data validation and reconciliation logic to ensure reporting accuracy</li><li>Optimize database queries and stored procedures for high‑performance analytics workloads</li><li>Collaborate closely with Data Engineering and Architecture teams to align BI solutions with enterprise data platforms</li><li>Support production BI environments and resolve reporting‑related incidents</li></ul>
<p><strong>Senior Analyst, Business Intelligence </strong></p><p><strong>26 Month Contract</strong></p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Location: </strong>Irvine, CA 92618</p><p>We are looking for an experienced Senior Analyst in Business Intelligence to join our team in Rochester, New York. In this long-term contract position, you will play a pivotal role in creating advanced Tableau dashboards and leveraging business intelligence technologies to support key initiatives. Ideal candidates will have a strong background in analytics, with experience in the healthcare industry and sales operations preferred.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Develop and design new Tableau dashboards to visualize complex data effectively.</p><p>• Utilize business intelligence tools to analyze and interpret data for strategic decision-making.</p><p>• Collaborate with stakeholders to gather requirements and tailor dashboards to meet organizational needs.</p><p>• Provide insights on sales operations and payroll data to improve business processes.</p><p>• Maintain and optimize existing dashboards and reporting tools for maximum efficiency.</p><p>• Work closely with healthcare industry professionals to understand data-driven needs and challenges.</p><p>• Ensure data accuracy and compliance with contractual agreements.</p><p>• Participate in cross-functional meetings to align business intelligence strategies with organizational goals.</p><p>• Train and support team members in the use of Tableau and other business intelligence technologies.</p><p>• Document processes and methodologies for future reference and consistency.</p>