Supports research administration data and systems across the University, ensuring secure, accurate data collection and reporting for internal and external compliance.
Compensation
The base salary will be HEW Level 8 in the range $117,579 - $132,273 per annum, plus 17% superannuation. The total package will be in the range $137,567 - $154,759 per annum.
Responsibilities
Implement routine and complex reports and reporting tools for grants management, research development, ethics management
Support users and systems to enhance existing systems, interfaces, and user support processes
Prepare and benchmark internal reporting and government evaluations
Collaborate with Digital Solutions, Library, Planning & Analytics, and system vendors
Advise on technical compliance issues and ensure systems meet national and global standards
Requirements
Postgraduate qualification
Nice to have: high-level knowledge of API programming
Lead ongoing reviews of business processes and proposal/development of optimization strategies for the Program Services Team.
Locations (2)
Hamilton Square, New Jersey, United States
Hamilton, New Jersey, United States
Compensation
Base Salary Range: $95,000 - $120,000 • Eligible to participate in annual discretionary bonus. • Benefits: Health, Dental, Vision, Life, Disability, Wellness, Paid Time Off, 401(k) and Profit-Sharing plans.
Responsibilities
Lead ongoing reviews of business processes and proposal/development of optimization strategies
Gather and document data management risks and needs of the business to investigate and propose solutions with business case rationale
Construct workflow charts and diagrams; studying business process and system capabilities
Gather job specifications and business rules, and technical deliverables by directly interfacing with the business stakeholders upfront, then regroup to recommend solutions, and assist in the implementation and user training for roll-out of any solutions
Suivre la production, gérer les incidents d’exploitation, support aux utilisateurs et maintenance des outils d'exploitation pour un client proche de Valence.
Responsibilities
Suivre la production et gérer les incidents d’exploitation
Surveillance et relance des traitements informatiques
Déclaration et suivi des incidents, interface avec la DSI et la production
Correction ou escalade et suivi des incidents jusqu'à leur résolution
Communication avec les utilisateurs
Requirements
Formation supérieure en informatique (bac+2 à bac+5)
This role focuses on driving merchant data integrity across systems by owning and maintaining the Data Governance Dashboard, using SQL and data analytics to pinpoint discrepancies and drive root-cause resolution.
Responsibilities
Own and Validate the Data Governance Dashboard to ensure data is accurate and up to date.
Run regular validation checks, identify anomalies, flag discrepancies to relevant teams, and track them through to closure.
Analyze data across systems, using SQL, data analytics, or diagnostic tools to trace discrepancies and quantify their impact.
Identify recurring trends to pinpoint root causes and process gaps, then propose actionable fixes to cross-functional teams.
Identify gaps in current dashboard coverage and propose new detection rules/checks.
A hands-on, individual-contributor role to build and run the Data Connect unified logistics data layer. The role involves owning delivery of pipelines and platform features end-to-end within the logistics data area.
Responsibilities
Build and maintain ETL/ELT pipelines that turn carrier, shipment, invoice and ERP data into the canonical Data Connect model
Work on document data extraction (OCR/parsing for airway bills, POs, commercial invoices)
Extend carrier and ERP integrations and help onboard new data sources
Implement data contract checks, validation and reconciliation
Keep pipelines within their performance and quality SLAs
Looking for a Fraud Analyst to join an international Fraud & AML team to identify fraud risks, analyze data, and develop insights that support smarter business decisions.
Responsibilities
Analyse fraud and risk data to identify suspicious activities, emerging patterns, and potential financial risks.
Develop and maintain fraud and risk reports, providing actionable insights to support business decisions.
Monitor fraud trends and performance indicators to identify opportunities for improving fraud prevention and risk management.
Support fraud detection and prevention by reviewing processes, identifying vulnerabilities, and recommending improvements.
Collaborate with local markets and global Credit & Fraud teams to align data requirements, reporting, and fraud prevention initiatives.
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