Top Data & Analytics Jobs

The role involves cleaning data, running machine learning models, developing data models, managing datasets, building dashboards, and documenting requirements.

Design and develop complex, large-scale data pipelines and end-to-end solutions across enterprise Big Data environments. Ensure data reliability, performance, and adherence to engineering best practices while collaborating in Agile teams.

As an AVP - Finance Data Quality, you will support data services for Finance regarding compliance and risk management, collaborate with IT and business stakeholders, and document data processes.

Work with energy-sector clients (commodity trading) to analyze requirements, define target architectures, and implement data and trading solutions. Align business needs with delivery teams, design processes and data flows, implement CTRM/ETRM and related systems, coordinate transformation programs, and improve delivery quality across multidisciplinary teams.

The Bigdata Tester validates data pipelines within enterprise-scale environments, focusing on SQL validation, Spark testing, and automation to ensure data quality.

The Data Analyst role involves defining source data, mapping data sets, reporting inconsistencies, assisting with data migrations, and managing stakeholder expectations. A focus on optimal solutions and strong communication skills in a banking context is essential.

As a Data Analytics Consultant, you'll lead data transformation for financial institutions, utilizing predictive modeling and advanced analytics to provide insights.

The Data Architect will develop and maintain enterprise data architecture, collaborate with teams to optimize data flows, ensure governance, and promote data literacy across the organization.

Design and build scalable data pipelines and infrastructure for analytics and business intelligence. Collaborate with data scientists and ensure data quality and governance.

The Data Analyst will perform data analysis, ensure data quality, support data governance processes, and provide insights through dashboards and reports in collaboration with various teams.