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Top Data & Analytics Jobs in Singapore
Fintech • Mobile • Payments • Software • Financial Services
Investigate payment problems using SQL, Python, customer reports, and stakeholder input; identify root causes across payment flows; prioritize issues by impact; design practical solutions with Product, Engineering, Risk, Operations, and payment partners; lead actions through measurable outcomes; and improve investigation and measurement practices.
Top Skills:
PythonSQL
Fintech • Mobile • Payments • Software • Financial Services
Partner with APAC Compliance teams to deliver regulatory reporting, compliance monitoring, risk analytics, and assurance reporting. Build scalable data models, dashboards, and self-service analytics tools while validating regulatory submissions and supporting automated monitoring. Maintain data quality, governance, and documentation, and collaborate with Risk, Compliance, Product, and Engineering stakeholders. The role requires strong SQL and data modeling skills, with opportunities to use dbt, modern data warehouses, data engineering tools, and Python.
Top Skills:
AirflowBigQueryDatabricksDbtGitLookerPythonRelational DatabasesSnowflakeSQLSuperset
Fintech • Mobile • Payments • Software • Financial Services
Drive product decisions for APAC by deriving insights from large datasets, performing funnel and A/B analysis, defining regional KPIs, mapping user journeys, and partnering with Product, Engineering, and Design to improve conversion, retention, and engagement.
Top Skills:
SQL
Fintech • Mobile • Payments • Software • Financial Services
Join the Grow Squad as the Scalable Platform product team's data partner to identify financial, regulatory, and operational risks. Build controls and assurance monitoring, maintain data pipelines, run forecasting and statistical analyses, and influence product decisions to ensure safe, sustainable, and profitable growth.
Top Skills:
AirflowBayesian StatisticsCausal InferenceDbtPythonSnowflakeSQL
Fintech • Mobile • Payments • Software • Financial Services
The role involves partnering with Internal Audit to implement analytics strategies, enhance efficiency in audits, and automate processes. Responsibilities include working with diverse teams to conduct impactful data analytics and champion innovation across IA activities.
Top Skills:
DbtLightdashPythonSQLSuperset
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