Work authorization in the country you apply is required (local citizen or permanent resident). Visa sponsorship, work permit sponsorship, and relocation support are not available.
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.
Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations.
Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we build on our legacy, we are deepening our commitment to elevating the dialysis experience through digital solutions and advanced services, while looking beyond kidney care and investing in transforming vital organ therapies. Greater flexibility and efficiency in therapy administration for care teams, and longer, fuller lives for patients— that is what Vantive aspires to deliver.
Perform ETL (Extract, Transform, Load) processes on large and complex transaction datasets to support business reporting, modelling, and analytical needs.
You will gain practical understanding of customs operations related Projects such as free trade agreements data analysis, Authorised Economic Operator (AEO), Customs broker management, duty drawback for legal entities in APAC.