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Business Analyst - Data

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Onsite

Business Analyst - Data

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

Business Analyst - Data

Skills

SQL QueriesDevOpsCybersecurityAWSKubernetesJiraConfluenceOracleSystem & Network AdministrationAzure

6 days ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

19 October 2026

What they need


Position - Business Analyst - Data.

Location - Singapore

  • Degree in Information Technology, Computer Science, Information Systems, Engineering or a related discipline.
  • At least 5 years of relevant experience in Business Analysis, Systems Analysis, Application Support, Integration Services or Enterprise Data Platforms.
  • Strong experience in requirements gathering, stakeholder engagement and solution analysis.
  • Good understanding of Oracle databases, data structures, SQL queries and database concepts.
  • Experience supporting enterprise applications, system integrations, data exchange platforms or customer-facing digital services.
  • Experience coordinating SIT, UAT, deployment activities and production support.
  • Understanding of RESTful APIs, web services, API authentication methods and enterprise integration patterns.
  • Excellent communication and stakeholder management skills.
  • Strong analytical, problem-solving and troubleshooting skills.
  • Familiarity with Oracle GoldenGate (OGG), data replication technologies or change data capture solutions.
  • Experience with Jira, Confluence, Azure DevOps, Git or similar collaboration and delivery tools.
  • Familiarity with Agile, DevOps and DevSecOps practices.
  • Experience with AWS, Government Commercial Cloud (GCC), monitoring platforms or integration middleware will be advantageous.
  • Experience supporting technology audits and penetration tests, including gathering evidence, responding to audit queries, and coordinating with relevant technical teams.
  • Experience with data migration, reconciliation, validation and data quality management.
  • Understanding of cybersecurity principles, vulnerability management and secure application delivery practices.
  • Understanding of the container lifecycle and Kubernetes-based application environments, including image management, deployment, configuration, release, and promotion across environments.
  • Understanding of network and infrastructure components, including servers, firewalls, reverse proxies, load balancers, DNS, ports, protocols, and connectivity.
  • Understanding of RHEL-based operating systems, including basic system administration, configuration, log analysis, file management, and troubleshooting.

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