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5 results for Database Manager in New Castle, DE

Database Administrator
  • Wayne, Pennsylvania
  • onsite
  • Temporary to Hire
  • 51.4615 - 59.587 USD / Hourly
  • We are looking for a Database Administrator to join a contract opportunity with the potential to become permanent, based in Wayne, Pennsylvania. This position supports a mixed enterprise data environment that includes Oracle/Lawson, Snowflake, AWS-based data services, and Drupal/Acquia platforms. The role is ideal for someone who can balance core database administration with data integration, reporting support, and cloud platform optimization. You will play a key part in keeping business-critical data dependable, secure, and well-structured for operational and analytical use.<br><br>Responsibilities:<br>• Oversee the day-to-day administration of Oracle/Lawson databases, including performance monitoring, backup coordination, recovery planning, and platform maintenance.<br>• Partner with technical teams to support database needs for application updates, system enhancements, and production issue resolution.<br>• Administer and improve Snowflake environments by refining data models, tuning workloads, and supporting scalable reporting structures.<br>• Build and maintain AWS-based data pipelines using services such as S3, Lambda, and Glue to move and transform enterprise data efficiently.<br>• Create and support integration processes across multiple business systems, with a focus on data validation, transformation, reconciliation, and consistency.<br>• Prepare and organize Drupal/Acquia data for reporting, analytics, and downstream consumption by dashboards or business intelligence tools.<br>• Validate migrated and integrated data to ensure completeness, accuracy, and alignment with business rules.<br>• Develop complex SQL solutions to support data extraction, transformation, and reporting requirements across legacy and cloud platforms.<br>• Document data movement, integration logic, and governance practices to improve transparency, quality, and long-term supportability.
  • 2026-09-11T00:00:00Z
Data Analyst
  • New Holland, Pennsylvania
  • onsite
  • Permanent / Full Time
  • 100000 - 110000 USD / Yearly
  • Our client is seeking an experienced Senior Data Operations Analyst to play a key role in transforming enterprise data into actionable business intelligence. This individual will help drive informed decision-making across underwriting, pricing, claims operations, fraud prevention, and customer experience initiatives while ensuring the organization&#39;s reporting environment remains accurate, reliable, and scalable. <br><br><br><br>The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions. <br><br><br><br>Key Responsibilities<br><br>Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability. <br>Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms.<br>Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions. <br>Design, develop, and support operational dashboards and reporting solutions using Power BI. <br>Assist with migration of legacy reporting processes to modern business intelligence platforms. <br>Manage datasets, semantic models, report distributions, and reporting governance processes. <br>Collaborate with business leaders to define reporting requirements and establish data standards. <br>Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations. <br>Drive continuous improvement initiatives focused on operational efficiency, data quality, and reporting effectiveness.<br><br><br>Qualifications<br><br>Experience within the Property &amp; Casualty insurance industry is required<br>Bachelor&#39;s degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred. <br>8+ years of data analytics, data operations, or business intelligence <br>Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI. <br>Experience with Microsoft Fabric and Medallion Architecture methodologies.<br>Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements.<br>Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups. <br>Experience with Origami and/or DXC Assure Claims is a plus.
  • 2026-09-03T00:00:00Z
Data Analyst
  • Middletown, Delaware
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Data Analyst to support a long-term contract engagement in Middletown, Delaware. This position is ideal for someone who combines strong technical integration expertise with a practical understanding of accounting-related systems, especially within QuickBooks desktop environments. The role will focus on assessing data flow, identifying efficient integration approaches, and helping business stakeholders turn operational needs into workable technical solutions.<br><br>Responsibilities:<br>• Evaluate existing systems and recommend effective integration approaches between QuickBooks desktop platforms and related business applications.<br>• Review DataForma capabilities and determine practical options for connecting, exchanging, or synchronizing information across systems.<br>• Analyze current data structures to support imports, exports, migration planning, and process automation opportunities.<br>• Work closely with business users to gather needs, clarify challenges, and translate operational goals into technical recommendations.<br>• Troubleshoot data movement issues and help define reliable methods for improving accuracy, consistency, and efficiency.<br>• Support project execution by documenting integration logic, data handling requirements, and solution considerations for stakeholders.<br>• Collaborate with onsite and remote teams to ensure proposed solutions align with system access constraints and project timelines.
  • 2026-09-24T00:00:00Z
Data Analyst
  • Philadelphia, Pennsylvania
  • onsite
  • Temporary to Hire
  • 18 - 21 USD / Hourly
  • <p>Robert Half is looking for a detail-oriented Data Analyst to join a Financial Services organization based in the Philadelphia, Pennsylvania area on a contract basis with the potential for a permanent position. In this Data Analyst role, you will support transaction processing, documentation review, fraud screening, and customer-facing coordination to help move finance deals through to completion. The ideal Data Analyst candidate is comfortable working in a fast-paced environment, balancing accuracy with responsiveness while partnering with both internal teams and external business contacts. Put your talents to the test and get your career going in the right direction by clicking the apply button today. If you have any questions, please contact Robert Half at 215-568-4580 and mention job reference #03720-0013511486.</p><p><br></p><p>As a Data Analyst your duties will include but aren&#39;t limited too:</p><p>• Partner with business development teams to advance equipment finance transactions, resolve incomplete files, and help drive timely deal closure.</p><p><br></p><p>• Prepare, distribute, track, and maintain finance agreements and supporting records using electronic document platforms for approved transactions.</p><p><br></p><p>• Review executed contracts and funding packages to confirm completeness, accuracy, and compliance with established company policies and controls.</p><p><br></p><p>• Update transaction records in lending and CRM systems to ensure correct billing setup, servicing details, and documentation history.</p><p><br></p><p>• Communicate with customers, vendors, and brokers to address outstanding conditions, clarify agreement terms, and support closing requirements.</p><p><br></p><p>• Conduct welcome calls with new customers to verify key contract details and confirm documentation aligns with approved terms.</p><p><br></p><p>• Perform fraud reviews, due diligence checks, and funding authorization steps while documenting findings thoroughly.</p><p><br></p><p>• Create and issue purchase orders to third-party equipment dealers and provide status updates to internal stakeholders as needed.</p><p><br></p><p>• Contribute to audit readiness, follow internal control procedures, and assist with special projects requested by credit or operations leadership.</p>
  • 2026-09-23T00:00:00Z
Data Scientist
  • Bala Cynwyd, Pennsylvania
  • remote
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools.<br><br>Responsibilities:<br>• Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting.<br>• Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders.<br>• Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format.<br>• Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows.<br>• Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources.<br>• Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences.<br>• Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices.<br>• Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed.<br>• Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
  • 2026-09-24T00:00:00Z