Detailed Engineering & Design: Leading the preparation, review, and approval of comprehensive electrical design documentation, including Single Line Diagrams (SLDs), Cable/Load Schedules, Equipment Layouts, Earthing & Lightning Protection Systems, and Trench/Tray Layouts.
Fund Onboarding & Stakeholder Support: Lead stakeholder management and coordinate end-to-end investor onboarding processes, collaborating closely with fund administration to ensure seamless AML/KYC execution and strong relationship management.
Oversee and ensure the reliable operation and maintenance of all essential IT infrastructure for business operations, including local area networks (LAN), wireless networks, internet connectivity, servers, storage, backups, printing solutions, and security systems (e.g., anti-malware, firewalls).
Perform ETL (Extract, Transform, Load) processes on large and complex transaction datasets to support business reporting, modelling, and analytical needs.
Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations.
About Hytech- Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations.- The company delivers end-to-end consulting services and provides robust middle- and back-office solutions to help clients optimise operations, enhance efficiency, and stay ahead in a fast-evolving digital landscape.- Hytech employs more than 2,000 professionals worldwide and has a strong international presence, with offices across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, Dubai, and other locations.About the RoleWe are seeking a Data Analyst to turn data into actionable insights that drive business decisions. In this hands-on role, you will analyze large datasets using Python and Databricks, create compelling Power BI dashboards, and collaborate with stakeholders to deliver accurate, impactful reporting. Your work will have a direct influence on business performance.What You’ll Do- Analyze and interpret complex datasets to provide actionable insights for business stakeholders.- Build, maintain, and optimize Power BI reports and dashboards.- Leverage Databricks and Spark-based workflows to process and transform large datasets.- Use Python to automate data transformations, analysis, and reporting tasks.- Collaborate with business and technical teams to translate requirements into clear, accurate analytics solutions.- Ensure data quality, consistency, and reliability across all reporting layers.What We’re Looking For- Bachelor’s degree in computer science, Statistics, Mathematics, or a related field.- Proven experience in data analysis, business intelligence, or a similar analytics role.- Proficiency in Power BI for building and maintaining reports and interactive dashboards.- Hands-on experience with Databricks, Apache Spark, or other big data processing frameworks.- Strong programming skills in Python for data analysis, automation, and data transformation.- Solid understanding of data modeling, data warehousing, and ETL processes.- Strong analytical thinking with the ability to interpret complex datasets and translate findings into actionable insights.- Good communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.- High attention to detail with a strong focus on data accuracy, consistency, and reliability.What We Offer- Easy access to public transportation (LRT & KTM).- Transportation allowance.- Corporate insurance coverage, including dental, optical, and outpatient claims.- Gym and fitness claims.- Ongoing training and development opportunities.- Exposure to exciting projects that support career growth and professional development.
We are seeking an experienced Teradata Data Architect to design and lead enterprise-scale data architecture, data warehousing, and Lakehouse solutions. The ideal candidate will have strong expertise in Teradata, modern Databricks architecture, data modelling, and large-scale data processing using PySpark. The role involves modernizing legacy data platforms, implementing scalable Lakehouse architectures, and establishing enterprise data governance and security standards.