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Data Analysis jobs in Malaysia

Data Engineering Analyst

Brooks Automation

Johor Bahru
Hybrid
MYR 70,000 - 90,000
21 days ago
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Data Platform Engineer - Azure Databricks | Flexible Hours

Second Talent

Kuala Lumpur
Hybrid
MYR 100,000 - 140,000
22 days ago

Cloud Engineer

Experian Asia Pacific

Cyberjaya
Hybrid
MYR 150,000 - 200,000
22 days ago

Remote Senior Performance Marketer — FB/IG & More

Write Edge

Malaysia
Remote
MYR 100,000 - 150,000
22 days ago

Ocean Procurement Expert

YQN

Klang City
On-site
MYR 60,000 - 90,000
23 days ago
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Senior Content Marketer

Teleport

Kuala Lumpur
On-site
MYR 100,000 - 150,000
24 days ago

Data Scientist I - AI/ML Model Builder

Jabil

Bayan Lepas
On-site
MYR 80,000 - 120,000
25 days ago

AI/ML Research Scientist — NLP, Vision, RL

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

Penang
On-site
MYR 150,000 - 200,000
25 days ago
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Senior Process Engineer - Post Sputter Engineering

Western Digital

George Town
On-site
MYR 45,000 - 60,000
25 days ago

Backend Engineer, HealthTech — Build Scalable, Secure Data

N1 Healthcare

Cyberjaya
On-site
MYR 80,000 - 120,000
25 days ago

Back-end Developer

N1 Healthcare

Cyberjaya
On-site
MYR 80,000 - 120,000
25 days ago

Quality Assurance Engineer 1

Dell

Seberang Perai
On-site
MYR 36,000 - 50,000
25 days ago

Staff Supply Chain Specialist

Renesas Electronics

Shah Alam
Hybrid
MYR 80,000 - 100,000
26 days ago

SR&T Consultant, Regulatory & Financial Risk

Deloitte PLT

Kuala Lumpur
On-site
MYR 60,000 - 80,000
26 days ago

Assurance - Manager/Senior Manager (Regulatory Assurance and Advisory Services)

EY

Kuala Lumpur
On-site
MYR 150,000 - 200,000
27 days ago

T&L: Transfer Pricing Senior Associate (MT Program)

Deloitte PLT

Kuala Lumpur
On-site
MYR 70,000 - 90,000
27 days ago

Senior Production Leader: Lean Ops & Improvement

TechnipFMC plc

Iskandar Puteri
On-site
MYR 80,000 - 120,000
28 days ago

6666 - Senior Commodity Manager

Agensi Pekerjaan Minde Group Sdn Bhd

Johor
On-site
MYR 80,000 - 100,000
28 days ago

Senior Sourcing & Supply Chain Strategist

Agensi Pekerjaan Minde Group Sdn Bhd

Johor
On-site
MYR 80,000 - 100,000
28 days ago

Digital Designer

Medium

Kuala Lumpur
Remote
MYR 60,000 - 80,000
28 days ago

DevOps Engineer (AWS Cloud DevOps, Terraform, Docker/Kubernetes)

Daimler Trucks North America LLC

Puchong
On-site
MYR 150,000 - 200,000
29 days ago

Manager Data Analysis

PEOPLE PROFILERS

Petaling Jaya
On-site
MYR 150,000 - 200,000
30+ days ago

Data Analysis

LexisNexis

Kuala Lumpur
On-site
MYR 60,000 - 90,000
30+ days ago

Business Solutions Manager ( Operations & Finance)

ACCA Careers

Kuala Lumpur
On-site
MYR 60,000 - 80,000
30+ days ago

Business Solutions Manager ( Operations & Finance)

OpusAsset

Malaysia
On-site
MYR 60,000 - 80,000
30+ days ago

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Data Engineering Analyst
Brooks Automation
Johor Bahru
Hybrid
MYR 70,000 - 90,000
Full time
21 days ago

Job summary

A leading automation solutions provider is seeking a Data Engineering Analyst in Johor Bahru, Malaysia. The role involves developing and optimizing data pipelines, collaborating with teams for data-driven decision-making, and ensuring data integrity. Candidates should have a degree in Computer Science or related field and at least 5 years of experience in data engineering, with proficiency in SQL and cloud platforms like AWS or Azure.

Qualifications

  • Minimum 5+ years of experience in data engineering or a related role.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

Responsibilities

  • Design, build, and maintain data pipelines ensuring quality and integrity.
  • Collaborate with data and business analysts to support data-driven insights.
  • Implement and optimize ETL processes for various data environments.
  • Maintain and improve data warehousing solutions.
  • Manage and monitor data infrastructure performance.
  • Document data engineering processes and best practices.

Skills

SQL
Informatica IDMC
Data warehousing concepts
AWS Redshift
Cloud data platforms (AWS, Azure)

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
Job description

Brooks is a leading provider of automation solutions with over 40 years of experience in the semiconductor industry, offering precision robotics, integrated automation systems, and contamination control solutions that empower chip manufacturers worldwide. Our product portfolio includes a range of automation solutions, including robots, vacuum systems, and atmospheric robots for semiconductor manufacturing (www.brooks.com).

Are you looking for a place where you can be part of a transformation? Join us at Brooks Automation and be a part of a dynamic organization that is shaping the future of technology.

Data Engineering Analyst
Job Description

The Data Engineering Analyst at Brooks is responsible for developing and optimizing data pipelines and architectures to support advanced analytics and data science initiatives. This role will be working closely with cross‑functional teams to ensure our data infrastructure aligns with business objectives and provides actionable insights.

As the pioneer member of the Data Analytics team in the region, you will maintain robust data pipelines and infrastructure to support analytics and reporting needs. This role involves ensuring data integrity, optimizing data workflows, and collaborating with stakeholders to enable data‑driven decision‑making across the organization.

Work Location: Onsite – Johor Bahru, Malaysia.

Key Responsibilities
  • Design, build, and maintain data pipelines: ensure data quality and integrity across multiple data sources.
  • Collaborate with data and business analysts: support data‑driven insights by integrating data from various sources.
  • ETL processes: implement and optimize ETL processes for various data environments.
  • Data warehousing: maintain and improve data warehousing solutions.
  • Performance monitoring: manage and monitor data infrastructure performance.
  • Documentation: document data engineering processes and best practices.
  • Any other duties as assigned.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
  • Minimum 5+ years of experience in data engineering or a related role.
  • Proven experience with SQL, Informatica IDMC platform.
  • Strong understanding of data warehousing concepts like STAR schema, analytical databases such as AWS Redshift, data quality, data lineage, etc.
  • Experience with cloud data platforms such as AWS or Azure.
  • Excellent problem‑solving skills and attention to detail.
  • Strong communication and collaboration skills.
Work Location & Flexibility

At Brooks, we aim to foster a collaborative and engaging environment while offering flexibility where possible. Work arrangements may include a mix of in‑office and remote work, depending on the nature of the role and business needs. Specific expectations will be shared during the interview process.

Equality and Diversity

Brooks is committed to fostering a diverse and inclusive workplace and proudly serves as an equal‑opportunity employer. We welcome all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other legally protected characteristics.

Diversity enhances our innovative capabilities and strengthens our ability to serve our customers and communities effectively. At Brooks Automation, we celebrate the unique experiences and perspectives each individual brings, believing they are essential to our collective success. Join us in building a workplace where every team member is valued and can thrive.

For applicants with disabilities requiring accommodations, don’t hesitate to get in touch with talentattraction@brooks.com or call +1 (978) 262‑2400 to discuss your needs.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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