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Join a new project for a leading organization and develop business intelligence, data warehouse, reporting, and dashboard solutions across multiple data sources.

Lead a Data Operations team responsible for reliable, secure, and efficient enterprise data platforms across on-premises and Google Cloud environments.

Join a temporary full-time project developing complex, high-performance systems with end-to-end ownership of features from architecture and implementation through production release and monitoring.

Join a leading financial organization to develop and maintain ETL processes using Informatica PowerCenter and IICS. You will design data pipelines for DWH and Data Lakes, collaborate with BI and analytics teams, and ensure performance and best practices.

Lead and manage multiple technology projects and ongoing operations. Coordinate with internal users, interfaces, and suppliers. Track progress, report to management, identify and resolve blockers. Requires significant project management experience, supplier management, and ability to work independently with senior stakeholders.

Seeking a Salesforce Systems Analyst to manage end-to-end projects, analyze system requirements, write business and technical specifications, lead integrations, and oversee implementation and maintenance. Work in a dynamic financial environment.

Join our CDO unit's BI for Business Lines team to analyze business requirements, design data solutions, and lead end-to-end BI projects. Collaborate with analysts, developers, and architects to deliver dashboards and reports.

Lead the analysis and specification of business information needs, translating requirements into actionable data and BI solutions. Drive data integration, mapping, and modernization initiatives, working closely with business stakeholders and development teams. Contribute to methodology and standards in a large-scale, data-rich environment.

Responsible for identifying business needs and delivering end-to-end data solutions. Develops Power BI dashboards, analyzes data using SQL and Python, and manages ETL/ELT processes. Integrates AI to support decision-making and collaborates with business and technical stakeholders.