We are looking for a detail-oriented Data Analyst to join our team in California in a contract position with the potential to become permanent. This role is ideal for someone who enjoys working with sales and order data, organizing information into clear reports, and helping managers make informed decisions. The successful candidate will be comfortable handling large data sets, performing data entry, and using Excel to turn raw information into accurate, easy-to-read summaries.<br><br>Responsibilities:<br>• Gather information from multiple business systems and consolidate it into usable reports.<br>• Prepare sales-focused reporting that highlights high-value customers, including accounts with monthly purchases above established thresholds.<br>• Identify inactive customers by reviewing order history and flagging accounts with no recent purchasing activity.<br>• Organize, clean, and structure raw data so it can be reviewed quickly and used effectively by sales leadership.<br>• Build spreadsheets and tables that present key details in a clear, practical, and visually accessible format.<br>• Use Excel functions such as VLOOKUP and XLOOKUP to compare records, validate information, and improve reporting accuracy.<br>• Support day-to-day order processing by entering and maintaining data with a high level of precision.<br>• Communicate proactively when information is unclear, asking thoughtful questions to ensure accuracy and alignment.<br>• Provide analytical and administrative support to internal teams in an onsite office environment.
We are looking for a Data Analyst to support fraud detection and investigative reporting for a Long-term Contract opportunity based in Irvine, California. This role focuses on turning complex data into actionable insights that help identify suspicious activity, strengthen anti-fraud efforts, and support business decision-making. The ideal candidate brings strong analytical thinking, experience working with fraud-related datasets, and the ability to communicate findings clearly to stakeholders.<br><br>Responsibilities:<br>• Analyze transactional and behavioral data to uncover unusual patterns, emerging risks, and indicators of suspected fraud.<br>• Develop reports, dashboards, and data summaries that support fraud monitoring, case prioritization, and investigative follow-up.<br>• Partner with fraud prevention and investigation teams to translate data findings into practical actions and risk mitigation strategies.<br>• Review large datasets for inconsistencies, trends, and anomalies that may signal fraudulent activity or control weaknesses.<br>• Support ongoing anti-fraud initiatives by providing data-driven insights that improve detection accuracy and operational response.<br>• Document analytical findings in a clear and organized manner for business partners, investigators, and leadership review.<br>• Assist with refining data analysis methods and reporting processes to improve visibility into fraud trends and performance outcomes.
We are looking for a Data Engineer to help transform business data into reliable, accessible insights that support decision-making across the organization. This role partners with teams such as asset management, acquisitions, accounting, and HR to build reporting solutions, improve data quality, and streamline access to critical information. Based in Los Angeles, California, the position is well suited for someone who enjoys combining technical expertise with business collaboration in a fast-moving environment.<br><br>Responsibilities:<br>• Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI.<br>• Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments.<br>• Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions.<br>• Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization.<br>• Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices.<br>• Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth.<br>• Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions.<br>• Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business.<br>• Administer BI platforms to maintain performance, reliability, and appropriate security controls.<br>• Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently.