Total 4 Data Entry job vacancies in Penang

Job Summary:

This role will work in the Global Sales - Business Management team to provide on-going support of business forecasting, analysis and reporting.  This candidate will focus on extracting data and make meaningful and value-add reporting.   This position requires effective communications skills; internal and external, written and verbal. Advance ability to pull, analyze, create, and format data for review and further analysis.

Responsibilities:

•  Compiling, analyzing, and reporting data (sales, supply chain related, billings, backlog, etc.)
•  Analyzing and reporting and providing actionable insights on data
•  Manage and track special reporting projects; ensure data integrity
•  Provide ad-hoc reporting/data, plus analytical support for management.
•  Support various sales ops related ad hoc and integration projects

This role will work in the Global Sales - Business Management team to provide on-going support of business forecasting, analysis and reporting.  This candidate will focus on extracting data and make meaningful and value-add reporting.   This position requires effective communications skills; internal and external, written and verbal. Advance ability to pull, analyze, create, and format data for review and further analysis.

Responsibilities:

• Compiling, analyzing, and reporting data (sales, supply chain related, billings, backlog, etc.)
•  Analyzing and reporting and providing actionable insights on data
•  Manage and track special reporting projects; ensure data integrity
•  Provide ad-hoc reporting/data, plus analytical support for management.
•  Support various sales ops related ad hoc and integration projects

• Customised Python development: contribute to internal and/or external libraries by raising issues, adding documentation and/or contributing new features; write clean, re-usable code, expertise in optimizing code, and the ability to perform code reviews for colleagues
• Data Domain knowledge: proven understanding of data sources and data and analytics requirements in Python and text mining with experience in data analysis or other enterprise platform operations activities.
• Right approach/tool choice: deep understanding of a wide range of commonly available Data Science approaches and tools and choose the right ones to solve the problem
• Data Manipulation: understand the lifecycle of the data and the data systems deployed in your team; make changes to the data tech stack; write and maintain advanced data pipelines; have expert Python skills; handle all types of data (e.g., streaming, structured, unstructured data)
• NLP and Machine Learning: understand and have applied a range of Natural Language Processing and machine learning methods to build data science algorithms (e.g., text mining and sentiment analysis)
• Operationalising Data: Proven expertise in bringing data and operations to scale, previous experiences including platforms such AWS, Azure or GCP.
• Scalability, Reliability, Maintenance: proven experience in building scalable and re-usable systems and automating operations

• Identify and analyze system integration problems, formulate, and implement corrective and preventive plans.
• Design and implement systems architecture with the most cost-effective and efficient hardware and software that can satisfy project requirements.
• Answer inquiries from BI Team members and business users as necessary
• To understand and work with all kinds of data, including historical data stored in data warehouses as well as new data gathered from different sources.