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Data Analyst

Fuku

About Fuku

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.

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.

Responsibilities

  • Fuku · Kuala Lumpur, Malaysia · Full-time · Posted 2026-10-23
  • \- 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.

Requirements

  • \- 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.

Benefits

  • \- 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.

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