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Automation Specialist

Lenovo

Selangor

On-site

MYR 70,000 - 100,000

Full time

Yesterday
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Job summary

A leading technology company based in Malaysia is seeking a Treasury Data Engineer to improve treasury processes through automation and data architecture design. The ideal candidate will have a Bachelor’s degree in computer science or similar, with strong skills in Python, RPA tools, and Power BI. Responsibilities include developing data models, managing ETL pipelines, and collaborating with IT for automated reporting. This role offers opportunities to work on innovative solutions to streamline financial processes.

Qualifications

  • Strong hands-on experience with Python for automation and scripting.
  • Solid experience in Power Automate (Cloud & Desktop).
  • Strong SQL skills for data manipulation and analysis.
  • Excellent analytical skills with strong problem-solving abilities.

Responsibilities

  • Analyze existing treasury processes and propose improvements.
  • Implement automation to enhance internal controls.
  • Partner with IT to develop dashboards and reporting tools.
  • Design and maintain Treasury Data Architecture framework.
  • Build ETL pipelines for treasury data.

Skills

Python
RPA tools
Power Automate
Power BI
SQL
API integration
Analytical skills

Education

Bachelor’s degree in computer science or related fields

Tools

UiPath
Power Automate Desktop
Job description
Key Responsibilities
Process Improvement & Digital Transformation
  • Analyze existing treasury processes, identify bottlenecks, and propose engineering-driven improvements.
  • Lead or support digitalization initiatives such as low-code automation, RPA, and smart workflows.
  • Promote technology adoption within the Treasury team and collaborate with Finance, IT, and Shared Services.
Treasury Data Governance & Risk & Controls
  • Implement automation to enhance internal controls around payments, approvals, and audit trails.
  • Support compliance with treasury-related policies and audit requests.
  • Assist in monitoring financial risks (liquidity, FX, counterparty).
Treasury Reporting & Analytics
  • Partner with IT to develop dashboards and reporting tools for:
    • liquidity KPIs
    • funding and investment portfolios
    • FX exposures and hedge performance
    • working capital metrics
  • Support Treasury, Finance, IT and Leadership teams with automated reports and insights.
Treasury Data Engineering
  • Design, build, maintain Treasury Data Architecture framework to create a most optimized data collection to data processing, data processing to data analysis, data analysis to data reporting data workflow.
  • Build and maintain ETL pipelines for treasury data (balances, rates, statements, payments).
  • Develop data models that support treasury analytics and regulatory reporting.
  • Ensure data quality, consistency, and traceability across all financial systems.
  • Own and define Treasury internal communication terminology.
Required Skills & Qualifications
  • Bachelor’s degree in computer science, Information Systems, Engineering, or equivalent.
  • Strong hands-on experience with Python for automation and scripting.
  • Proficient with RPA tools (UiPath / Automation Anywhere / Power Automate Desktop).
  • Solid experience in Power Automate (Cloud & Desktop).
  • Expertise in Power BI, DAX, Power Query, and dashboard design principles.
  • Strong SQL skills for data manipulation and analysis.
  • Understanding of API integration, JSON, REST, and cloud-based services.
  • Experienced in finance & Treasury related working experience is a plus.
  • Excellent analytical skills with strong problem-solving abilities.
  • Ability to manage multiple projects and work with cross-functional teams.
Preferred Qualifications
  • Experience with Azure, Microsoft 365 ecosystem, or similar cloud platforms.
  • Knowledge of data warehousing, ETL concepts, or automation frameworks.
  • Experience in process mapping (BPMN), Lean processes, or Six Sigma projects.
  • Certification in Python, RPA, Power BI, or Microsoft Power Platform.
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