Top Data & Analytics Jobs

The Senior Data Modelling Consultant will design enterprise-grade data models, support data migrations, and enforce data governance standards for financial services clients.

Lead data governance and management consulting engagements for financial services clients. Design governance frameworks, maintain data dictionaries, glossaries, metadata catalogs, lineage, and classification standards, and support data quality, architecture, MDM, and regulatory compliance initiatives. Partner with executives, risk, compliance, technology, and business stakeholders while delivering Agile data transformation programs and governance reporting using enterprise platforms such as Collibra, Informatica, and Microsoft Purview.

Analyze and prepare data from multiple sources, optimize data flows and transformation processes, investigate data quality issues, develop dashboards, and support data migration and transformation initiatives. Coordinate project deliverables, manage stakeholders, translate business requirements into data solutions, and present recommendations to technical and non-technical audiences in a hybrid consulting environment.

Lead WAM data architecture and cloud transformation engagements: define enterprise data strategies, design canonical WAM data models, architect cloud-native data platforms, integrate core WAM systems, establish data quality and control frameworks, and advise senior stakeholders on technical-to-business translation.

Seeking an experienced GCP Data Engineer to develop, maintain data pipelines, and optimize SQL queries in BigQuery, collaborating with teams to deliver data solutions.

Design, develop and optimize IBM InfoSphere DataStage ETL/ELT jobs, reusable frameworks and SQL scripts to support a large-scale credit card platform migration. Deliver scalable, high-performance data integration, automate deployments, monitor and troubleshoot pipelines, validate data with QA and business teams, and contribute technical best practices across the data engineering function.

Work as a business/data analyst on banking transformation projects: analyze and validate large datasets, define data quality rules, perform as-is process and data analysis, write requirements and data mappings, support implementation, and progressively lead sub-projects and small teams.

Act as a business/data analyst on banking transformation projects: analyze large datasets, manage data quality (rules/validation), perform as-is process and data analysis, write requirements, map data, support implementation, and progressively lead sub-projects and small teams.

Join an agile team delivering data management and transformation projects for major banks. Analyze large datasets, define data quality rules, map and document requirements, modernize processes, and support implementation. Gradually assume responsibility for topics, lead sub-projects, and collaborate with stakeholders to optimize data solutions.

Join an agile team delivering data management and transformation projects for leading banks. Analyze large datasets, define requirements, perform data mapping and data quality management, modernize processes, and support implementation. Gradually take ownership of topics and lead smaller sub-projects.