Data Analytics für Forecasting, Entwicklung von softwaregestützten Lösungen für Business Forecasting, Marktanalyse und Produktmanagement
Compensation
Attraktive Vergütung nach Tarifverträgen der Metall- und Elektroindustrie sowie diverse Sonderzahlungen (Weihnachts- und Urlaubsgeld, Erfolgsbeteiligung etc.)
Responsibilities
Data Analytics für Forecasting
Selbständiges Erarbeiten einer Software-Lösung für datengestütztes Business Forecasting
Auswertung von Sales and Market trends im Bezug auf das Produktportfolio
Training des konzerneigenen Large Language Models (KI) zur Weiterentwicklung des Wissensmanagements
Tooling-Entwicklung für Strategische Bedarfsplanung
Senior Associate in Deals Real Assets focusing on data engineering and digital solutions for capital projects.
Compensation
The salary range for this position is $60,000 - $100,100.
Responsibilities
Architect, design, and develop robust, end-to-end data pipelines utilizing Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
Design and implement data models within Azure Data Lake, leveraging Medallion Architecture and building complex business logic into scalable, efficient transformations
Develop processes to ingest data from relational databases, APIs, flat files, and project management systems
Automate data workflows and implement CI/CD practices for data pipelines using Azure DevOps or GitHub Actions
Monitor, troubleshoot, and optimize data solutions for performance, scalability, and cost-effectiveness
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
Lead AI Engineer in Technology for Wells Fargo’s Commercial and Corporate & Investment Banking Technology (CCIBT) group, responsible for accelerating AI initiatives, building GenAI tools, and guiding architectural decisions.
Locations (2)
Boston, Massachusetts, United States
Charlotte, North Carolina, United States
Compensation
$159,000.00 - $305,000.00
Responsibilities
Lead complex technology initiatives
Develop and maintain AI-enabled solutions
Design, build, test, deploy and document business solutions
Provide influence, thought leadership and mentorship
Collaborate with technical experts and senior leadership
Support product discovery by gathering user feedback, documenting pain points and summarizing opportunities
Help translate business needs into process maps, requirements, user stories, acceptance criteria or simple prototypes
Assist with product backlog organization, release planning, status tracking and product documentation
Participate in testing new features and document results, questions and recommended improvements
Analyze product usage, process, campaign or operational data using tools such as Excel, Power BI or similar platforms
Requirements
Associate, bachelor’s or master’s degree in Marketing, Business, Analytics, Information Systems, Computer Science, Data Science, Communications, Design or a related field
Research Assistant – Quantitative Analysis & Data Research
The research assistant will primarily support the quantitative and data-driven dimensions of a nonfiction book examining patterns in contemporary behavior, culture, markets, and institutions.
Compensation
Hourly Rate: $31.37/hour
Responsibilities
Conduct quantitative research across academic, government, industry, and other credible data sources
Identify datasets, statistics, longitudinal studies, surveys, and market research relevant to specific questions or hypotheses
Analyze and synthesize data to identify patterns, correlations, shifts, and outliers
Build simple quantitative models and comparative analyses where useful
Research historical and contemporary trends across consumer behavior, economics, technology, media, culture, and related fields
The role provides 24/5 coverage for Real Time and Historical FIFXMM data supported on flagship products like Workspace, TRTH, and DSS, ensuring accurate and timely delivery of relevant pricing data.
Responsibilities
Validating Real-Time and End of Day data for Fixed Income/Foreign Exchange instruments.
Observe market events to anticipate changes in instruments for Real-Time monitoring.
Working with content service teams to identify trends and areas of concern raised by clients to reduce Data Corrected Cases.
Responding to data queries from customers and providing high-level support.
Working on projects, process improvements, and migrations.
Leading test planning, scripting, and execution of test scenarios for advanced processing sub-systems deployed on RTOS and embedded platforms, while growing a software test capability and team.
Compensation
Participation in an Annual Bonus Scheme
Responsibilities
Line manage and lead a team of Software Test Engineers, providing technical direction, coaching and support.
Lead functional testing efforts across all development stages, ensuring alignment with functional requirements.
Provide technical guidance on testing methodologies, tools and frameworks.
Monitor and improve test coverage, collaborating with teams to address challenges.
Develop organizational policies, standards and guidelines for functional testing.
Support and improve the University’s Linux end‑user computing environment, managing lifecycle, configuration, deployment, patching, security and automation.
Compensation
Full time Salary Range: £36,320.00 - £46,970.00 per annum
Responsibilities
Manage Linux endpoints lifecycle
Configure and deploy operating systems
Deliver software and patching
Automate processes with configuration management tools
Collaborate with Windows, Apple, identity and infrastructure teams