Data Analyst

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 Role

We 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.