Design, develop, and maintain interactive dashboards and reports using
Power BI
or other visualization platforms (e.g., Tableau, Qlik, Looker).
Apply advanced data visualization techniques to uncover insights, trends, and opportunities from complex datasets.
Translate business requirements into meaningful and impactful data visualizations.
Use custom scripting (SQL, Python, DAX) to create derived datasets that support analytics and reporting needs.
Integrate and validate data from multiple systems, ensuring data quality, consistency, and accuracy.
Automate data refresh cycles and optimize dashboard performance for real-time or near-real-time analytics.
Collaborate with data scientists, engineers, and developers to embed visual analytics into larger data products.
Contribute to projects involving
Large Language Models (LLMs)
,
Generative AI
, or
prompt engineering
, where applicable.
Follow governance standards and best practices for visualization design, documentation, and version control.
Requirements
Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field.
Minimum
3 years of hands-on experience
in data analytics, dashboard development, or business intelligence roles.
Strong experience with
Power BI
or equivalent BI platforms (Tableau, Qlik, Looker), including data modeling and
DAX
.
Proficiency in
SQL
and scripting languages such as
Python
for data transformation and automation.
Experience in creating
custom datasets
via scripting and integrating them into dashboard solutions.
Strong understanding of
data storytelling
, dashboard UX, and data visualization best practices.
Exposure to
LLMs
or
AI/ML concepts
is a plus.
Familiarity with
REST API integration
and cloud data platforms (AWS, Azure) is an advantage.
Strong communication, analytical, and problem-solving skills.
Self-driven team player with the ability to manage multiple tasks in a fast-paced environment.
Job Type: Full-time
Pay: RM5,000.00 - RM6,000.00 per month
Experience:
SQL and scripting languages such as Python : 2 years (Preferred)
cloud data platforms (e.g., AWS, Azure) : 2 years (Preferred)
data analytics, dashboard development : 2 years (Preferred)
Power BI or equivalent tools (e.g., Tableau, Qlik, Looker), : 2 years (Preferred)
Business intelligence : 2 years (Preferred)
data modeling and DAX: 2 years (Preferred)
Work Location: In person
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