Top Data & Analytics Jobs

Design, configure, and optimize Alteryx reconciliation workflows using trade, settlement, and CSD/Equator data feeds. Implement matching rules, tolerances, transformations, exception outputs, and break-management processes. Investigate data and mapping issues, support testing and production readiness, and improve workflow performance in a financial-services environment.

Designs and leads enterprise data architecture and cloud transformation initiatives for financial services clients. Responsibilities include developing data strategies, designing scalable platforms on AWS, Azure, or GCP, implementing data governance and metadata capabilities, supporting migrations, and advising technical and business stakeholders. The role also contributes to consulting offerings and may lead teams.

Lead the architecture, development, and delivery of enterprise knowledge graphs and ontologies for financial-services clients. Define semantic models, advise on graph platforms, align solutions with FIBO and governance standards, and integrate graphs with data platforms and AI/LLM applications. The role includes client advisory, workshops, proposals, thought leadership, mentoring, and practice building across Asia.

Investigates complex datasets to identify data quality issues, anomalies, control gaps, and root causes. Documents data lineage and business rules, develops business cases, facilitates stakeholder workshops, and drives delivery of data initiatives. Responsibilities include UAT planning, data reconciliation, risk and dependency management, stakeholder communication, and Agile participation.

As a Data Analyst, you'll analyze complex data sets using statistical techniques, collaborate with SMEs, and prepare reports for stakeholders.

Design and implement data governance frameworks, policies, standards, and operating models. Establish ownership and stewardship processes, support data quality controls and remediation, and improve metadata, lineage, classification, and lifecycle management. Collaborate with business, technology, risk, compliance, and regulatory stakeholders to translate governance requirements into practical solutions, drive adoption, and support sustainable change across financial services organizations.

Design and govern scalable data solutions for banking and payments clients using GCP and BigQuery. Responsibilities include data modeling, source-system integration, metadata and lineage management, data quality, documentation standards, query optimization, security, access controls, and cost management. The consultant will align business definitions across stakeholders and collaborate with Data Stewards, Business Analysts, Data Engineers, and implementation teams to deliver secure, high-performance data platforms.

Develop, test, and maintain Python- and SQL-based data pipelines and ETL/ELT processes on Google Cloud Platform. Build BigQuery transformations, support data warehouse modeling, troubleshoot data quality issues, document solutions, and collaborate with engineers and analysts. The role requires strong GCP data engineering experience, including BigQuery and Pub/Sub, with preferred experience in Cloud Composer, Dataflow, Cloud Functions, Git, and Google Cloud certification.

Implement and maintain data governance frameworks, policies, standards, and data quality controls. Support data ownership, stewardship, metadata management, lineage, regulatory compliance, governance forums, stakeholder engagement, training, audits, and enterprise data transformation initiatives for banking clients.

Implement and maintain data governance frameworks, policies, standards, and data quality controls. Manage data ownership, stewardship, metadata, lineage, and issue remediation processes. Partner with business, technology, risk, and compliance stakeholders, facilitate governance forums and training, and support audits, regulatory initiatives, and enterprise data transformation programs for banking clients.