Educational Level
A bachelor’s degree or higher in computer science, information systems, or a related field
Work Experience
At least 5 years in Data Management, Oil and Gas experience is plus
Skills
Technical
Strong understanding of SAP Master Data across area: GL account, Cost center, Internal Order, Asset, Customer, Vendor, and Material Master, Service Master, ect
Data quality: The ability to ensure data accuracy, consistency, and completeness.
Data governance: The ability to define and implement data policies, rules, and roles.
Data analysis: The ability to collect, process, and interpret data using various methods and tools.
Data integration: The ability to combine data from different sources and formats (using tools like ETL or APIs is advance).
Data visualization: The ability to present data in graphical or interactive forms (using tools like Power BI or Tableau is advance).
Experience managing master data (use MDM tool) in difference system including SAP, IBM Maximo(or similar manufacturing execution system)
Data management: The ability to organize, store, and maintain data according to standards and best practices.
Data security: The ability to protect data from unauthorized access, use, or modification.
Knowledge of master data concepts, standards, and best practices
Management and Organizational Skills
Teamwork: The ability to collaborate with various stakeholders and teams, such as data analysts, data engineers, data scientists, and business users, to ensure data alignment and compliance.
Project management: The ability to initiate, plan, execute, monitor, and close data- related projects, such as data migration, integration, or quality improvement.
Leadership: The ability to motivate, guide, and support data- related teams and projects, as well as communicate data insights and recommendations to senior management and clients.
Problem- solving: The ability to identify, analyze, and resolve data- related issues, challenges, and risks, as well as implement solutions and improvements.
Change management: The ability to manage and adapt to changing data needs and requirements, as well as facilitate data- related change initiatives and transitions.
Time management: The ability to prioritize, schedule, and complete data- related tasks within deadlines and budgets.
Communication and Collaboration skills
Listening: The ability to listen actively and attentively to data- related feedback, questions, and requests from various stakeholders and teams, as well as understand their data needs and expectations.
Strong written and communication skills in English language.
Presentation: The ability to present data- related information and recommendations in a compelling and engaging way, using visual aids, such as charts, graphs, or dashboards, and tools, such as Power BI or Tableau, ect.
Cooperation: The ability to cooperate and coordinate with various stakeholders and teams, such as data analysts, data engineers, data scientists, and business users, to ensure data alignment and compliance.
Written communication: The ability to write clearly and concisely about data- related topics, such as data documentation, reports, and proposals, using appropriate formats, styles, and tools, such as Word, Excel, or PowerPoint.
Negotiation: The ability to negotiate and persuade data- related decisions and actions, such as data quality, data governance, or data integration, with various stakeholders and teams, as well as resolve data- related conflicts and disagreements.
Verbal communication: The ability to speak clearly and confidently about data- related topics, such as data standards, policies, and insights, to various audiences, such as data analysts, data engineers, data scientists, and business users.
Problem- Solving Attitude
Learning: The ability to learn from data- related experiences and feedback, and apply new knowledge and skills to data- related problems.
Decision making: The ability to evaluate and compare data- related options and outcomes, and choose the best course of action based on data evidence and criteria.
Creativity: The ability to generate and apply innovative and original ideas to data- related problems, and find alternative or unconventional solutions.
Troubleshooting: The ability to diagnose and fix data- related errors, bugs, or malfunctions, and restore data functionality and quality.
Analytical thinking: The ability to break down complex data- related problems into smaller and simpler components, and apply logical and systematic methods to solve them.
Competency
Knowledge and skills
Planning
Job Knowledge
Communication
Safety
Safety
Work Attitudes
Creativity & innovation
Results oriented
Adaptability
Teamwork
Management skills
Decision making
Mentoring and coaching
Leadership
Leadership
