31 Data Interpretation jobs in Malaysia
PETROPHYSICIST -Well Logs Data Management & Interpretation
Posted 15 days ago
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Job Description
Overview
To provide comprehensive Well Logs Data Management and Petrophysics Interpretation services to support exploration and production activities.
Scope of WorkThe ideal candidate is a mid-to-senior level Petrophysicist with a strong background in well data management and formation evaluation. Key responsibilities are listed below:
Well Data Management- Compilation of final log curves including GR, Caliper, Resistivity, Sonic (DT), and Density logs.
- Quality control of log curves, bad-hole correction, and generation of pseudo logs where necessary (e.g., GR, DT, Density).
- Inventory management and validation of core data, including RCA, SCAL, XRD, LPSA, Sw, and Grain Analysis.
- Compilation and verification of fluid data, pressure data, and well testing results.
- Data tabulation and documentation, providing remarks for each compiled final log curve per well.
- Conducting formation evaluation using Gamma Ray (GR), Neutron-Density (Neu-Den), and Hydrocarbon Correction (HC Corr) plots for lithology modeling and hydrocarbon contact identification.
- Utilization of Neutron, Density, Sonic, and Hydrocarbon Correction (HC Corr) methodologies.
- Analysis of core data, including Vcl, Gden, RI, FF, Porosity-Permeability (Poro-Perm), and SwJ.
- Calculation of water saturation (Sw) and porosity for reservoir characterization.
- Reservoir summation and integration of petrophysical parameters.
- Preparation of comprehensive petrophysical reports, including compiled tabulation and interpretation.
- Proficiency in DSG Petrophysics or other relevant petrophysical software tools.
- Strong knowledge of petrophysical modeling, well log interpretation, and formation evaluation.
- Experience in core data analysis and fluid pressure interpretation.
- Proficiency in database management, data compilation, and report writing.
- Strong analytical, problem-solving, and communication skills.
- Bachelors or Masters degree in Petrophysics, Geology, Petroleum Engineering, or a related field.
- 5 - 8 years of experience in petrophysical evaluation, well log data management, and reservoir characterization, preferably in the Oil & Gas industry.
- Experience working with major Oil & Gas companies is an added advantage.
- Job is open to Malaysian Citizens and Expats currently in Malaysia.
PETROPHYSICIST -Well Logs Data Management & Interpretation
Posted 5 days ago
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Job Description
To provide comprehensive Well Logs Data Management and Petrophysics Interpretation services to support exploration and production activities. Scope of Work
The ideal candidate is a mid-to-senior level Petrophysicist with a strong background in well data management and formation evaluation. Key responsibilities are listed below: Well Data Management
Compilation of final log curves including GR, Caliper, Resistivity, Sonic (DT), and Density logs. Quality control of log curves, bad-hole correction, and generation of pseudo logs where necessary (e.g., GR, DT, Density). Inventory management and validation of core data, including RCA, SCAL, XRD, LPSA, Sw, and Grain Analysis. Compilation and verification of fluid data, pressure data, and well testing results. Data tabulation and documentation, providing remarks for each compiled final log curve per well. Petrophysical Formation Evaluation
Conducting formation evaluation using Gamma Ray (GR), Neutron-Density (Neu-Den), and Hydrocarbon Correction (HC Corr) plots for lithology modeling and hydrocarbon contact identification. Utilization of Neutron, Density, Sonic, and Hydrocarbon Correction (HC Corr) methodologies. Analysis of core data, including Vcl, Gden, RI, FF, Porosity-Permeability (Poro-Perm), and SwJ. Calculation of water saturation (Sw) and porosity for reservoir characterization. Reservoir summation and integration of petrophysical parameters. Preparation of comprehensive petrophysical reports, including compiled tabulation and interpretation. Job Skill Requirements
Proficiency in DSG Petrophysics or other relevant petrophysical software tools. Strong knowledge of petrophysical modeling, well log interpretation, and formation evaluation. Experience in core data analysis and fluid pressure interpretation. Proficiency in database management, data compilation, and report writing. Strong analytical, problem-solving, and communication skills. Qualifications & Experience
Bachelors or Masters degree in Petrophysics, Geology, Petroleum Engineering, or a related field. 5 - 8 years of experience in petrophysical evaluation, well log data management, and reservoir characterization, preferably in the Oil & Gas industry. Experience working with major Oil & Gas companies is an added advantage. Job is open to Malaysian Citizens and Expats currently in Malaysia.
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Data visualization specialist
Posted today
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Job Description
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
Posted today
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Job Description
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
Posted today
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Job Description
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
Manager Data Analysis
Posted 4 days ago
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Job Description
- Analyze business data to interpret business reports, trends and provide suggestions for Management and Head of Department (HOD)
- Drive data remediation projects with existing team.
- Using data driven approach to identify business drivers which can lead to revenue growth and increased profitability.
- Develop visualization and presentation for dissemination of analytical results and derivation of actionable insights.
- Define and optimize marketing automation strategy and build customer segments to facilitate marketing targeting.
- Perform root cause analysis, fix data quality issues and provide ongoing reports.
- Create and maintain optimal data pipeline architecture including assembling large complex data sets to be ready for data analytics.
- Manage database and CRM data, solving any problem during analysis and implementation with Japan Headquarter and HOD.
- Communicate report findings/business insights to business stakeholders through meaningful dashboard/data visualization tools.
- Coordinate with different functional teams to implement models, while monitoring and analyzing model performance and data accuracy.
- Work collaboratively with key departments and Manager in delivering high quality analytics support to management and other stakeholders using statistical and analytical skills and tools.
- Ensure initiatives are aligned with policies and standard operating protocols.
Data Analysis Engineer
Posted 8 days ago
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Job Description
Overview
HR & Talent Acquisition Professional | 7+ Years’ Experience | Open for New Roles
Responsibilities- Responsible for overseas mobile game business related security strategy development, operation, videos analysis, relevant statistical analysis and other work.
- 1. Bachelor's degree or above in computer science or related major, at least 1 year related working experience;
- 2. Proficiency in at least one development language (lua/python/c++), and familiarity with lua is preferred.
- 3. Experience in using linux, proficient in using python and sql for big data analysis and processing.
- 4. Solid basic computer knowledge, good coding ability, good problem location, analysis and solution ability.
- 5. Strong sense of responsibility, strong logical thinking ability, communication ability and pressure resistance ability.
- 6. Experience in using automation tools for data analysis is preferred.
- 7. Experience with FPS games such as "CODM" or "PUBGM", high-ranking players are preferred.
- Associate
- Contract
- Analyst and Engineering
- IT Services and IT Consulting
Location: Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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Data Analysis Intern
Posted today
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Job Description
Job Overview:
We are looking for a proactive Data Analysis/Data Science Intern to join our team. This role combines data analysis with server and system application responsibilities. The intern will set up a data warehouse, install and configure reporting solution for reporting dashboards, and assist in managing server-side applications to support data workflows. This is a unique opportunity to develop skills in both data science and system administration while contributing to impactful projects.
Work-Life:
- Conduct data analysis to extract insights from structured and unstructured datasets.
- Design and set up a data warehouse to centralize company data for efficient storage and retrieval.
- Install, configure, and maintain reporting solution on a server to enable report dashboard creation.
- Develop interactive dashboards and reports using reporting solution to meet business needs.
- Perform server-side tasks, including installing and managing system applications required for data processing and reporting.
- Ensure system performance and troubleshoot issues.
- Clean and preprocess data to ensure accuracy and consistency for analysis and reporting.
- Document data workflows, server configurations, and application setup processes.
- Collaborate with team members to support ad-hoc data analysis and system-related requests.
Requirements:
- Currently pursuing a degree in Data Science, Computer Science, Information Technology, or a related field.
- Basic knowledge of data analysis techniques and tools (e.g., SQL, Python, or R).
- Familiarity with server setup, system administration, or application installation (e.g., Linux basics, server management).
- Interest in or experience with data warehousing and ETL processes.
- Willingness to learn and configure open-source tools like Apache Superset.
- Strong problem-solving skills and a proactive approach to technical challenges.
- Ability to work independently and as part of a team.
- Good communication skills to document processes and present insights.
- Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI).
- Knowledge of server environments (e.g., Linux, Windows Server) and basic networking concepts.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud) for hosting data or applications.
- Exposure to scripting for automation (e.g., Bash, Python).
- Understanding of database management systems (e.g., MySQL, PostgreSQL).
What You'll Gain
- Practical experience in data analysis and creating actionable reports.
- Hands-on skills in setting up and managing a data warehouse and server applications.
- Mentorship from experts in data science and system administration.
- A chance to build a strong foundation in both analytical and technical domains.
Data Analysis Engineer
Posted today
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Job Description
About the Role
We are looking for a Data Analysis Engineer for one of the Top Tech Companies to support international mobile gaming business. You'll work on security strategy, player behavior analysis, and big data processing to deliver insights that drive better decisions and game operations.
Job Responsibilities
Analyze and process large-scale game data (Python/SQL)
Support security strategy and video/user behavior analysis
Provide data insights for business and operations teams
Collaborate across teams to solve problems and improve efficiency
What We're Looking For
Job requirements:
Bachelor degree or above in computer science or related major, at least 1 year related working experience;
Proficiency in at least one development language (lua/python/c++, etc.), and familiarity with lua is preferred;
Experience in using linux, proficient in using python and sql for big data analysis and processing;
Solid basic computer knowledge, good coding ability, good problem location, analysis and solution ability.
Strong sense of responsibility, strong logical thinking ability, communication ability and pressure resistance ability;
Experience with FPS games such as "CODM" or "PUBGM", high-ranking players are preferred.
Office is located in the CBD area (Menara 1 Sentrum), offering a modern and vibrant working environment. You'll have the opportunity to collaborate with top IT talents from around the world while working at the forefront of cutting-edge technology.
Data Analysis Engineer
Posted today
Job Viewed
Job Description
Job responsibilities: Responsible for overseas mobile game business related security strategy development, operation, videos analysis, relevant statistical analysis and other work.
Job requirements:
Bachelor's degree or above in computer science or related major, at least 1 year related working experience;
Proficiency in at least one development language (lua/python/c++, etc.), and familiarity with lua is preferred.
Experience in using linux, proficient in using python and sql for big data analysis and processing.
Solid basic computer knowledge, good coding ability, good problem location, analysis and solution ability.
Strong sense of responsibility, strong logical thinking ability, communication ability and pressure resistance ability.
Experience in using automation tools for data analysis is preferred.
Experience with FPS games such as "CODM" or "PUBGM", high-ranking players are preferred.