The role focuses on planning, forecasting, supporting, and controlling military fault data analysis to ensure product spare part availability and cost-effective maintenance.
Responsibilities
Erstellung von Auswertungen, Sachstandsberichten und Bewerten von Auffälligkeiten für militärische Containersysteme
Bewertung und Korrektur von Stör- und Instandhaltungsdaten für verschiedene militärische Containersysteme
Kundenorientierte Zusammenarbeit mit den Teams der Technisch-Logistischen Betreuung
Fachliche Qualitätssicherung der internen / externen Leistungserbringung
Unterstützung bei der Weiterentwicklung von Methoden und Tools
Requirements
Abgeschlossenes Studium einer technischen / mathematischen Fachrichtung oder vergleichbar
Nice to have: Microsoft VBA
Nice to have: SQL
Nice to have: Kenntnisse in den Abläufen und Verfahren der Bundeswehr im Bereich Materialerhaltung
Erstellung von Auswertungen, Sachstandsberichten und Bewertung von Auffälligkeiten für militärische Containersysteme sowie Unterstützung bei der Weiterentwicklung von Methoden und Tools.
Responsibilities
Erstellung von Auswertungen, Sachstandsberichten und Bewerten von Auffälligkeiten für militärische Containersysteme
Bewertung und Korrektur von Stör- und Instandhaltungsdaten für verschiedene militärische Containersysteme
Kundenorientierte Zusammenarbeit mit den Teams der Technisch-Logistischen Betreuung
Fachliche Qualitätssicherung der internen / externen Leistungserbringung
Unterstützung bei der Weiterentwicklung von Methoden und Tools
Requirements
Abgeschlossenes Studium einer technischen / mathematischen Fachrichtung oder vergleichbar
Nice to have: Kenntnisse in den Abläufen und Verfahren der Bundeswehr im Bereich Materialerhaltung
The Applications Systems Analyst is responsible for data workflows, process improvement or new implementation of applications and systems, planning of analytics and visualization projects, communication with stakeholders across the department to understand data-related needs, and coordinating with external data requestors.
Responsible for defining, maintaining, and optimizing the unified customer profile across the organization’s CDP/CRM ecosystem, ensuring data quality, identity resolution, and activation-ready data for marketing and analytics.
Responsibilities
Define and maintain the unified customer profile and associated data model within the CDP/CRM ecosystem
Own the data schema, properties, event structures, and naming conventions across customer data assets within the platform
Ensure data quality, including data freshness, completeness, and accuracy across all sources
Manage identity resolution rules (stitching) to ensure correct merging of customer identifiers across channels and devices
Partner with Digital Analytics, Martech, CRM, and Enterprise Architects to define requirements for data pipelines
Requirements
Nice to have: Bilingual
Nice to have: Familiarity with Canada & Quebec privacy regulations
Support the Operations Consulting team on projects related to the financial operations lifecycle, post-trade processes, and configuration activities within the MX.3 platform.
Responsibilities
Support the analysis of operational processes related to financial markets and industry best practices
Assist with activities related to trade confirmation, reconciliation, settlement, and monitoring of financial transactions
Participate in workshops and analysis sessions to understand business needs and document requirements
Support the preparation and execution of functional testing to validate configurations and processes
Contribute to different implementation phases, including analysis, configuration, testing, and support
Requirements
Final-year student pursuing a degree in Business Administration, Industrial Engineering, Computer Science, Mathematical Engineering, Finance, or a related field
Support consulting and technical activities across the system architecture, deploying and maintaining solutions, contributing to automation and performance optimization, and collaborating with internal teams and clients.
Responsibilities
Support consulting and technical activities across the system architecture
Assist in deploying and maintaining solutions
Contribute to automation and performance optimization
Collaborate with internal teams and clients to understand requirements and deliver tailored support
Document processes
Requirements
Pursuing a degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related technical field
Lead quantitative analytics for the Small Business Card organization, driving data‑driven decisions and campaign optimization.
Responsibilities
Manage and analyze large, complex datasets to develop actionable business strategies
Apply advanced analytical and data mining techniques to identify patterns and correlations
Communicate complex analytical results to business partners and senior leadership
Conduct sophisticated analysis and deliver tactical and strategic insights across marketing, finance, and business functions
Serve as a subject matter expert for data‑driven decision‑making and opportunity identification
Requirements
Bachelor’s degree in a quantitative field such as Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline
Lead Data Scientist Vice President focused on cost-based analytics, business intelligence, and GenAI applications within the Merchant Services team.
Compensation
competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity
Responsibilities
Create innovative solutions that make a difference for our customers, clients, and employees.
Collaborate with experienced data scientists and peer analysts to develop new cost-based analytics and GenAI applications.
Work on agile teams to support data-driven decision-making and manage stakeholders.
Lead/partner on the creation of virtual assistants and workflow automations using multi-agent AI patterns where appropriate.
Translate business problems into end-to-end AI solutions, including problem framing, data requirements, model approach, evaluation, and delivery.
Requirements
Bachelor’s or Master’s degree in analytics, computer science, statistics, mathematics or similar technical or quantitative field
Lead and advise on enterprise-wide revenue cycle operations and financial performance improvement initiatives within a world-class hospital finance department.
Compensation
$90,000-$148,000/Annual
Responsibilities
Lead multiple project teams and large-scale value, client-focused efforts to identify, design, and implement opportunities to optimize revenue cycle processes
Collaborate with Revenue Cycle and Finance leaders to institute sustainable performance improvement mindset
Promote effective and efficient operations using defined measures for all components of revenue cycle operations
Establish policies and procedures and ensure standards of practice are consistent with regulatory agencies
Define and develop enterprise-wide revenue cycle learning & education