941 Data Visualization jobs in Malaysia
Data visualization specialist
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No visa sponsorship
Experience: 3 to 10 years
Responsibilities:
- Design, develop, and maintain interactive Tableau dashboards and reports.
- Collaborate with business stakeholders to gather requirements and translate them into effective data visualizations.
- Optimize dashboards for performance, usability, and scalability.
- Ensure data accuracy, consistency, and security in all reports.
- Provide training and support to business users on Tableau best practices.
Experience & Skills:
- 3–6 years of experience in data visualization and business intelligence.
- Strong expertise in Tableau Desktop, Tableau Server/Online, and data blending.
- Proficiency in SQL and experience working with large datasets.
- Solid understanding of data modeling, ETL concepts, and dashboard performance tuning.
- Excellent communication and stakeholder management skills.
- Experience in BI tools (Power BI, QlikView, etc.) is a plus.
Data Visualization/Dashboard Developer
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World Vest Base (WVB), part of Financial Intelligence Services Limited, is a primary source for global financial, statistical and market information. Since 1984, WVB has collected and managed data on public and private companies worldwide.
Key Responsibilities:1- Design, develop, and maintain interactive dashboards and reports using tools like Tableau and Power BI.
2- Collaborate with business stakeholders to gather requirements and translate business needs into technical specifications for data visualizations.
3- Perform in-depth data analysis, including multivariate and statistical analysis, to uncover trends, patterns, and insights.
4- Develop and maintain robust data pipelines to ensure the accuracy and reliability of data feeding into our analytics platforms.
Technical Skills:
Proven hands-on experience as a Data Analyst, Business Intelligence Analyst, or similar role with supported by a portfolio of interactive dashboards built with tools like Tableau or Power BI.
Strong understanding of statistical concepts and their practical application for delivering data-driven insights.
Technical Proficiency:
- Programming: Strong proficiency in Python for data analysis (Pandas, NumPy, Scikit-learn) and JavaScript for front-end visualization.
- Visualization Tools: Hands-on experience with Tableau and/or Power BI.
- Databases: Solid experience working with relational databases like Oracle and MySQL queries. Experience with NoSQL databases like MongoDB is a plus.
- Data Skills: Demonstrated expertise in data analysis, business analytics, multivariate analysis, and predictive modeling.
Preferred Qualifications (Nice-to-Have):
- Experience with Docker for containerization.
- Practical knowledge of working with RESTful APIs for data integration.
- Familiarity with Git/GitHub for version control in a collaborative environment.
Data Visualization for PowerPoint and Excel
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We are seeking a part-time support to assist with creating and populating charts in PowerPoint and Excel. The ideal candidate will be responsible for chart population and report formatting. Attention to detail are essential for this role. If you have a passion for translating data into clear visual stories, we would love to hear from you
- Populate PowerPoint slides with data from Excel tabulations
- Ensure accuracy in data transfer
- Follow proper chart formatting and alignment rules
- Apply good design and layout sense for a clean and professional presentation
- Cross-check charts with source data for accuracy
- Populate PowerPoint slides with data from Excel tabulations
- Ensure accuracy in data transfer
- Follow proper chart formatting and alignment rules
- Apply good design and layout sense for a clean and professional presentation
- Cross-check charts with source data for accuracy
Job Types: Part-time, Freelance, Fresh graduate, Student job
Pay: RM10.00 per hour
Expected hours: 40 – 60 per week
Benefits:
- Flexible schedule
- Work from home
Application Question(s):
- Are you able to commit to at least 40 hours per week for a minimum of 6 months?
- Would you describe yourself as a detail-oriented person?
Work Location: In person
Data Analytics
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This role is designed for a forward-thinking professional who blends expertise in data science, machine learning, and software engineering to build intelligent systems that drive business performance. The ideal candidate will be responsible for developing AI models, running experiments, and translating business needs into scalable analytics solutions.
How You'll Make an Impact- Design and implement machine learning and deep learning models for business needs.
- Conduct experiments to assess and improve model performance.
- Research and apply suitable ML algorithms and tools for problem-solving.
- Analyze large datasets to identify trends and insights.
- Develop dashboards and visualizations to support decision-making.
- Collaborate with teams to align AI solutions with business goals and ensure scalability.
- Great foundation in statistics, data analysis, and machine learning.
- Proficiency in Python or R, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience with data visualization tools (e.g., Power BI, Tableau).
- Familiarity with cloud platforms (Azure, AWS, GCP) for deploying AI solutions.
- Excellent problem-solving and communication skills.
- Ability to work collaboratively in a fast-paced, multi-functional environment.
Our Grid Technologies division enables a reliable, sustainable, and digital grid. The power grid is the backbone of the energy transition. Siemens Energy offers a leading portfolio and solutions in HVDC transmission, grid stabilization and storage, high voltage switchgears and transformers, and digital grid technology.
Who is Siemens Energy?At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy:
Our Commitment to DiversityLucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
Rewards/Benefits- Outstanding opportunity for personal development working in an organization covering multiple facets of the energy industry and energy transition.
- Provide flexible and hybrid working arrangement
- Work in a diverse team with an open approach that will constantly support you and your development
Data Analytics
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【Job Requirements】
About JD STAR Graduate Program The JD STAR Program, launched by in 2015, is an annual recruitment initiative targeting fresh graduates from top universities worldwide. This program aims to nurture talent by placing high-potential graduates in roles that support 's fast growing business and empowering them through extensive training and coaching. As a dedicated career development platform for sustained growth, it is tailored for graduates seeking professional advancement and career achievements. Job Responsibilities 1, Collect, clean, and analyze sales data from various sources (e.g., CRM systems, sales reports, market trends) to identify key performance indicators (KPIs) such as sales volume, revenue, conversion rates, and regional performance. 2, Generate regular sales reports and dashboards for management, highlighting trends, discrepancies, and opportunities to optimize sales strategies. 3, Conduct in-depth analysis of sales performance against targets, including variance analysis, to explain gaps and recommend actionable improvements. 4, Collaborate with sales teams to understand their needs, provide data-driven insights, and support decision-making for territory planning, resource allocation, and campaign effectiveness. 5, Evaluate the performance of sales initiatives, promotions, and product lines, assessing their impact on overall sales and profitability. 6, Forecast future sales trends using historical data and statistical models, helping the team set realistic targets and adjust plans proactively. 7, Identify inefficiencies in sales processes through data analysis and propose solutions to enhance productivity and sales outcomes. Job Requirements 1, Bachelor's degree in business analytics, statistics, finance, marketing, or a related field; 2, Strong understanding of sales KPIs, sales processes, and business metrics (e.g., revenue, conversion rates, market share). 3, Excellent analytical and problem-solving skills, with the ability to collect, clean, and interpret large datasets to identify trends and variances. 4, Familiarity with statistical analysis and forecasting methods to support sales planning and target setting. 5, Strong communication skills, with the ability to present complex data findings clearly to non-technical stakeholders (e.g., sales teams, management). 6, Detail-oriented mindset with a focus on accuracy in data reporting and analysis. 7, Ability to work collaboratively in cross-functional teams and manage multiple priorities in a fast-paced environment. 8, Chinese and English language skills are a plus.
【About 】(NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Ranked 47th on the Fortune Global 500, is China's largest retailer by revenue. In 2023, reported revenues of US$152.8 billion and served approximately 600 million active customers.
【Our International Business】We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, continues to expand in markets where our competitive strengths shine. Currently, operates globally, with business activities in countries such as China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, and many others, reaching customers in every corner of the world.
【International Logistics】JD Logistics (also known as JINGDONG Logistics), publicly on the Hong Kong Stock Exchange, which provides technology-driven supply chain and logistics solutions, with a market-leading infrastructure network across China. JD Logistics has also developed a robust global supply chain network with highly automated warehousing and reliable international transportation solutions. Currently, JD Logistics operates approximately 100 bonded, overseas, and direct mail warehouses across almost 1 million square meters. The company provide comprehensive logistics support to a diverse range of clients, including both international enterprises and Chinese brands expanding globally.
Data Analytics
Posted today
Job Viewed
Job Description
【Job Responsibilities】
【Job Requirements】
About JD STAR Graduate Program The JD STAR Program, launched by in 2015, is an annual recruitment initiative targeting fresh graduates from top universities worldwide. This program aims to nurture talent by placing high-potential graduates in roles that support 's fast growing business and empowering them through extensive training and coaching. As a dedicated career development platform for sustained growth, it is tailored for graduates seeking professional advancement and career achievements. Job Responsibilities 1, Collect, clean, and analyze sales data from various sources (e.g., CRM systems, sales reports, market trends) to identify key performance indicators (KPIs) such as sales volume, revenue, conversion rates, and regional performance. 2, Generate regular sales reports and dashboards for management, highlighting trends, discrepancies, and opportunities to optimize sales strategies. 3, Conduct in-depth analysis of sales performance against targets, including variance analysis, to explain gaps and recommend actionable improvements. 4, Collaborate with sales teams to understand their needs, provide data-driven insights, and support decision-making for territory planning, resource allocation, and campaign effectiveness. 5, Evaluate the performance of sales initiatives, promotions, and product lines, assessing their impact on overall sales and profitability. 6, Forecast future sales trends using historical data and statistical models, helping the team set realistic targets and adjust plans proactively. 7, Identify inefficiencies in sales processes through data analysis and propose solutions to enhance productivity and sales outcomes. Job Requirements 1, Bachelor's degree in business analytics, statistics, finance, marketing, or a related field; 2, Strong understanding of sales KPIs, sales processes, and business metrics (e.g., revenue, conversion rates, market share). 3, Excellent analytical and problem-solving skills, with the ability to collect, clean, and interpret large datasets to identify trends and variances. 4, Familiarity with statistical analysis and forecasting methods to support sales planning and target setting. 5, Strong communication skills, with the ability to present complex data findings clearly to non-technical stakeholders (e.g., sales teams, management). 6, Detail-oriented mindset with a focus on accuracy in data reporting and analysis. 7, Ability to work collaboratively in cross-functional teams and manage multiple priorities in a fast-paced environment. 8, Chinese and English language skills are a plus.
【About 】
(NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Ranked 47th on the Fortune Global 500, is China's largest retailer by revenue. In 2023, reported revenues of US$152.8 billion and served approximately 600 million active customers.
【Our International Business】
We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, continues to expand in markets where our competitive strengths shine. Currently, operates globally, with business activities in countries such as China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, and many others, reaching customers in every corner of the world.
【International Logistics】
JD Logistics (also known as JINGDONG Logistics), publicly on the Hong Kong Stock Exchange, which provides technology-driven supply chain and logistics solutions, with a market-leading infrastructure network across China. JD Logistics has also developed a robust global supply chain network with highly automated warehousing and reliable international transportation solutions. Currently, JD Logistics operates approximately 100 bonded, overseas, and direct mail warehouses across almost 1 million square meters. The company provide comprehensive logistics support to a diverse range of clients, including both international enterprises and Chinese brands expanding globally.
Data Analytics
Posted today
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What you'll be doing
- Gather, analyse and interpret complex data from various sources to identify trends, patterns and opportunities
- Develop and maintain robust data models, dashboards and reporting tools to enable data-driven decision making
- Collaborate with cross-functional teams to understand their data and analytics requirements
- Implement advanced analytics techniques such as predictive modelling, forecasting and scenario planning
- Translate technical insights into actionable business recommendations
- Support the enhancement and automation of data processes and workflows
- Stay up-to-date with the latest data analytics tools, technologies and industry best practices
What we're looking for
- Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics or Computer Science
- 1 year of relevant experience in data analytics, business intelligence or a similar role
- Proficiency in SQL, Python or R for data extraction, transformation and analysis
- Excellent data visualisation and reporting skills using tools like Power BI, Tableau or Qlik
- Experience in applying statistical and machine learning techniques to solve business problems
- Strong problem-solving, critical thinking and communication skills
- Ability to work collaboratively in a team and translate complex data insights into actionable recommendations
Interested candidates who wish to apply for the advertised position, please email us an updated copy of your resume.
Email Address:
EA License No.: 13C6305
Reg No: R HIEW CHAI SYIN)
For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.
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Data Analytics
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【Job Responsibilities】
【Job Requirements】
About JD Young Internship The JD Young Internship Program aims to cultivate young talent by providing opportunities to enhance their professional skills and accelerate their growth. It is also designed to identify high-potential candidates suited for the JD Star Program. Job Responsibilities 1.Collect, clean, and analyze sales data from various sources (e.g., CRM systems, sales reports, market trends) to identify key performance indicators (KPIs) such as sales volume, revenue, conversion rates, and regional performance. 2.Monthly expense provision and bill of lading, such as special service fees for financial and tax laws and workplace rental bills of lading; 3. Online billing failure monitoring, follow up on processing results; 4. Other office administrative and support work; Job Requirements 1, Bachelor's degree in business analytics, statistics, finance, marketing, or a related field; 2,, Excellent analytical and problem-solving skills, with the ability to collect, clean, and interpret large datasets to identify trends and variances. 3, Familiarity with statistical analysis and forecasting methods to support sales planning and target setting. 4, Strong communication skills, with the ability to present complex data findings clearly to non-technical stakeholders (e.g., sales teams, management). 5, Ability to work collaboratively in cross-functional teams and manage multiple priorities in a fast-paced environment. 6, Chinese and English language skills are a plus
【About 】
(NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Ranked 47th on the Fortune Global 500, is China's largest retailer by revenue. In 2023, reported revenues of US$152.8 billion and served approximately 600 million active customers.
【Our International Business】
We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, continues to expand in markets where our competitive strengths shine. Currently, operates globally, with business activities in countries such as China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, and many others, reaching customers in every corner of the world.
【International Logistics】
JD Logistics (also known as JINGDONG Logistics), publicly on the Hong Kong Stock Exchange, which provides technology-driven supply chain and logistics solutions, with a market-leading infrastructure network across China. JD Logistics has also developed a robust global supply chain network with highly automated warehousing and reliable international transportation solutions. Currently, JD Logistics operates approximately 100 bonded, overseas, and direct mail warehouses across almost 1 million square meters. The company provide comprehensive logistics support to a diverse range of clients, including both international enterprises and Chinese brands expanding globally.
Data Analytics
Posted today
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Responsibilities: -
- Data Collection: Gather data from internal and external sources, including databases, spreadsheets and cloud systems.
- Data Management: Maintain and update data systems to ensure reports' accuracy, completeness, and reliability.
- Data Interpretation: Use statistical methods and analytical tools to identify trends, patterns, and anomalies.
- Data Analysis: Perform exploratory and diagnostic analyses to understand business performance and outcomes.
- Reporting & Visualization: Translate complex data findings into clear, actionable insights for Top Management to easier overseas company performance (E.g. Using Looker Studio Google / Tableau).
- Collaboration: Work closely within departments or cross-department such as marketing, finance, operations, and product to understand their data needs.
- Data Governance: Ensure compliance with data privacy and security policies.
- Optimization: Continuously seek opportunities to streamline data processes and improve efficiency.
Requirements: -
- Experienced in related fields such as Data Science/Data Analyst.
- Proficiency/Knowledge in Data Analysis Tools: Advanced knowledge of data manipulation and analysis tools such as Excel, Google Sheets and etc.)
- Mandarin speaking required due to stakeholder management
Example Tasks: -
- New User Growth: Number of new registered users per month or as requested time period.
- Company Performance Report: Monthly performance of the company.
- Conversion or Retention Rate: Percentage of users who sign up after landing on your page or retention of existing users.
- New User Report: Daily updating new users details for tracking any abnormalities.
Data Analytics
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About Us
Love, Bonito is a digital-first company on a mission to empower the everyday Asian woman and inspire self-confidence. We are Southeast Asia's leading womenswear brand, headquartered in Singapore, with an omnichannel presence across Hong Kong SAR China, Indonesia, Malaysia and a retail franchise in Cambodia. In addition, we have also expanded into international markets namely the Philippines and the United States of America.
Founded in 2010, we are proudly female-founded with more than 65% female representation in leadership roles (#girlpower). We raised a US$50M Series C round in 2021 and know that we're on the cusp of something great, where we're working towards becoming the most thoughtful brand globally, for the Asian female consumer, especially when it comes to our products, community and experiences.
There's a lot more work to be done with all of our exciting plans. So we're looking to team up with people who are wildly passionate about making an impact and be part of a dynamic team, in a workplace with no corporate BS (yes, you read that right).
Are you passionate about using data to solve real-world challenges?
About the Role
We are seeking a motivated and curious Data Analytics & Science Intern to join our dynamic team and contribute to exciting projects that directly impact our business. This internship is a fantastic opportunity to gain hands-on experience, learn from experienced professionals, and develop your skills in the in-demand field of data science.
About Our Projects
Our data analytics and science team tackles a variety of projects aimed at optimising our operations, enhancing customer experience, and driving business growth. Here are some of the projects you could be involved in:
- Model Optimization - Personalized Recommendations: Enhance our existing recommendation engine through advanced model fine-tuning and performance optimization. Focus on improving recommendation relevancy, computational efficiency, and real-time processing capabilities.
- Size Recommendation Enhancement: Fine-tune and optimize our current size recommendation model by incorporating new data sources, improving model architecture, and implementing sophisticated validation techniques to increase accuracy and user trust.
- Search API Development: Optimizing search functionality to enhance product discovery and improve customer experience through efficient search algorithms.
- Advanced Analytics: Conducting in-depth statistical analysis and developing data-driven solutions to optimize business operations and identify growth opportunities.
- Customer Segmentation: Analyzing customer behavior patterns and developing sophisticated segmentation models to enable targeted marketing strategies and personalized experiences.
- Sorting Algorithm Optimization: Developing and fine-tuning intelligent sorting algorithms to improve product discovery and category browsing, incorporating factors like popularity, relevance, and personalized user preferences.
- Dashboarding & Visualization: Maintain and create interactive dashboards using Tableau and Metabase to provide actionable insights and monitor key business metrics across different departments.
Requirements
Who We Are Looking For
- Data wizard with a fashion flair: Possess a strong foundation in Python, SQL, statistics and machine learning.
- Problem-solving aficionado: Ability to think critically, solve problems creatively, and communicate effectively with both technical and non-technical audiences.
- Team player with an independent spirit: Collaborate seamlessly while taking initiative and ownership of your projects
Advantageous to Have
- Experience working with Databricks, PySpark, TensorFlow/PyTorch, and data visualisation platforms like Tableau or Metabase is a plus
- Passionate learner: Eager to delve into the world of fashion e-commerce data and continuously hone your skills
Benefits
What You Will Gain
- Work on real-world projects that have a direct impact on the business.
Gain hands-on experience with industry-standard data science tools and methodologies.
Be mentored by experienced data professionals and learn from their expertise.
- Develop your professional network and build valuable connections within the industry