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3 results for Data Migration Specialist in Downey, CA

Data Entry Specialsit

Park La Brea, CA
onsite
Temporary / Contract
23 - 26 USD / Hourly
Our client in the Mid-Wilshire area is seeking a detail-oriented Data Entry Clerk for a contract-to-hire opportunity. This role is ideal for someone who is highly accurate, efficient, and comfortable handling large volumes of information in a fast-paced environment. The Data Entry Clerk will be responsible for entering, updating, and maintaining data in company systems while ensuring a high level of accuracy and confidentiality. Based on general knowledge.Key Responsibilities:<ul><li>Enter, verify, and update data into internal databases and systems with speed and accuracy. Based on general knowledge.</li><li>Review source documents for completeness and accuracy before inputting information. Based on general knowledge.</li><li>Maintain organized digital and paper records as needed. Based on general knowledge.</li><li>Identify and correct data discrepancies or errors promptly. Based on general knowledge.</li><li>Generate basic reports and assist with spreadsheet tracking in Excel. Based on general knowledge.</li><li>Perform routine administrative support tasks related to data management. Based on general knowledge.</li><li>Work collaboratively with team members and other departments to ensure information is current and accurate. Based on general knowledge.</li></ul>
2026-08-07T00:00:00Z

Data Scientist

Irvine, CA
onsite
Temporary / Contract
35 - 40 USD / Hourly
We are looking for an experienced Sr Data Scientist to support data-driven initiatives for a long-term contract opportunity in Irvine, California. This role is ideal for someone who can translate complex information into practical insights, work across technical and business teams, and contribute to high-impact analytical solutions. The position calls for strong expertise in data analysis, database-focused development, and domain awareness related to healthcare or government-supported programs. Responsibilities: • Build and refine analytical models and data solutions that support business decisions and operational goals. • Partner with stakeholders to gather requirements, define data needs, and deliver clear reporting or predictive insights. • Develop, optimize, and maintain database queries, data pipelines, and structured datasets for analysis and reporting. • Evaluate large and complex data sources to identify trends, risks, and opportunities for process improvement. • Collaborate with distributed and offshore team members to coordinate deliverables and maintain project continuity. • Apply knowledge of healthcare-related programs such as TRICARE when interpreting data and shaping analytical outputs. • Support hiring or workforce-related analytics by organizing data, measuring outcomes, and presenting findings to leadership. • Document methodologies, assumptions, and technical processes to promote consistency and knowledge sharing. • Contribute to ongoing enhancements involving NIS-related data environments or connected systems as needed.
2026-07-13T00:00:00Z

Data Analyst

Irvine, CA
onsite
Temporary / Contract
35.625 - 41.25 USD / Hourly
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. Responsibilities: • Analyze transactional and behavioral data to uncover unusual patterns, emerging risks, and indicators of suspected fraud. • Develop reports, dashboards, and data summaries that support fraud monitoring, case prioritization, and investigative follow-up. • Partner with fraud prevention and investigation teams to translate data findings into practical actions and risk mitigation strategies. • Review large datasets for inconsistencies, trends, and anomalies that may signal fraudulent activity or control weaknesses. • Support ongoing anti-fraud initiatives by providing data-driven insights that improve detection accuracy and operational response. • Document analytical findings in a clear and organized manner for business partners, investigators, and leadership review. • Assist with refining data analysis methods and reporting processes to improve visibility into fraud trends and performance outcomes.
2026-07-29T00:00:00Z