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.