1,259 Network Analysis jobs in Singapore

Responsibilities:

1.   Responsible for interpretation and technical research of protocols such as Ethernet, UEC, and UAlink;

2.   Assist in drafting, reviewing and revising technical documentation;

3.   Collaborate with R&D team to complete simulation verification and test case design based on internet protocol design requirement;

4.   Process and analyze protocol performance data with MATLAB and OPNET. Make use of AI tools to assist with documentation and data mining;

5.   Organize protocol technical documentation, technology sharing and assist in cross-department communication to ensure implementation of internet protocol technologies.

Requirements:

1.   Bachelor's degree or above in Electronics Engineering, Communication Technology, Computer Science or equivalent;

2.   Minimum 2 years of experience in protocol analysis, design, or verification. Experience in using Ethernet, UEC, and UAlink is highly preferred;

3.   Proficient in programming languages such as SystemVerilog and Python, capable of using EDA tools for protocol simulation;

4.   Strong English reading and writing skills, able to read technical documents independently;

5.   Strong learning ability, good communication and teamwork skills.

Overview
Join us as we work together to inspire creativity and enrich life around the globe.
Location:
Team:
Technology
Employment Type:
Regular
Job Code:
A
Responsibilities
Develop and improve datacenter network monitoring services, and optimize network data collection, processing and visualization tools.
Create network alert systems using trained learning algorithms to provide real-time and accurate anomaly detection and fault location.
Collaborate with network engineers to develop automated network fault diagnosis systems and provide troubleshooting analysis services for the business.
Develop a network data platform based on network metadata, providing metrics that accurately reflect the status and trends of the network in real-time.
Qualifications
Minimum Qualifications
- Bachelor degree or above in Computer Science, Electrical Engineering is preferred; Master’s or Ph.D with networking research experience is a plus.
Proficiency in at least one programming language such as Java, C++, or Python, and capability to read and understand others.
At least 2 years hands on experience in network monitoring and alarm systems, In-depth understanding of networking protocols and the TCP/IP stack.
Excellent verbal and written communication skills.
Preferred Qualifications
- Practical or research experience in the areas of network monitoring and alert systems and with a strong foundation in developing big data processing.
Familiarity with switch monitoring technologies such as Telemetry, SNMP, Syslog, sFlow, Erspan, INT, etc. is a plus.
Job Information
About Us
Why Join ByteDance
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
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Overview

You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory. You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.

Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.

Data Management & Analysis

• Lead or support data-driven quality improvement projects aimed at enhancing advisory services
• Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
• Review and manage case entries and other data sources to ensure integrity and usability for insights generation
• Conduct data analysis to identify trends and insights
• Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
• Work with other team members to act on insights to improve advisory services continuously

Other

• Support event deployment on an ad-hoc basis
• Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
• Coordinate call assignments for Skills Ambassadors
• Perform all other duties assigned by supervisor or manager

• 1 to 3 years of relevant experience
• Strong organisational and data management skills, with the ability to manage monthly reporting
• Strong interest in data analysis
• Comfortable working with large datasets data visualisation tools (Tableau/ PowerBI) and large language models
• Creative skills to develop visually appealing materials
• Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
• Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
• Ability to work independently and as part of a team to meet deadlines
• Excellent business writing and communication skills to collaborate with various stakeholders
• Ability to converse in Mother Tongue is an advantage
• Experience in service excellence or CRM will be welcomed

Candidates who do not have the required qualification or relevant experience are welcome to apply.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

• Remuneration bonuses package

• Conducive working environment

• Promising career prospect and advancement

Job Scopes:

• Design and implement data pipelines to extract, transform, and load (ETL) data from various sources to enable real-time visibility and decision-making
• Automate data cleansing and validation processes to improve overall data quality
• Develop and maintain dashboards and reports using business intelligence tools
• Establish data standards, governance frameworks, and best practices for data management
• Identify data quality issues and implement solutions to enhance reliability

Job Requirements:

• Diploma or degree qualification
• 3-5 years of related experience
• Microsoft Office, SQL, Power BI, Oracle
• Analytical and problem-solving skills
• Good communication and collaboration abilities

*** Sincere & Interested applicants, kindly forward your Updated resume (word doc format) to and CC: Allan (R **

You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory.You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.

Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.

Core Responsibilities

Data Management & Analysis

• Lead or support data-driven quality improvement projects aimed at enhancing advisory services
• Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
• Review and manage case entries and other data sources to ensure integrity and usability for insights generation
• Conduct data analysis to identify trends and insights
• Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
• Work with other team members to act on insights to improve advisory services continuously

Other

• Support event deployment on an ad-hoc basis
• Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
• Coordinate call assignments for Skills Ambassadors
• Perform all other duties assigned by supervisor or manager

Requirements

• 1 to 3 years of relevant experience
• Strong organisational and data management skills, with the ability to manage monthly reporting
• Strong interest in data analysis
• Comfortable working with large datasets data visualisation tools (Tableau/ PowerBI) and large language models
• Creative skills to develop visually appealing materials
• Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
• Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
• Ability to work independently and as part of a team to meet deadlines
• Excellent business writing and communication skills to collaborate with various stakeholders
• Ability to converse in Mother Tongue is an advantage
• Experience in service excellence or CRM will be welcomed

Candidates who do not have the required qualification or relevant experience are welcome to apply.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.

Immerse yourself in the Product Search and Personalisation Team, which focuses on advancing scalable machine learning and experimentation frameworks that power search relevance, ranking, and recommendations across our platform. By leveraging cutting-edge analytics and statistical methods, we continuously optimize how users connect with merchants, services, and content.

In this role, you will collaborate closely with product managers, data scientists, engineers, and product designers to define hypotheses, design experiments, and deeply understand user needs, pain points, and business goals. You will act as a strategic partner throughout the product development lifecycle - offering analytical support from ideation to execution-and help prioritise features through data-driven insights. You will be based in Singapore and reporting to Head of Analytics.

You will be responsible for designing and running A/B tests and quasi-experiments to evaluate the impact of product changes on key metrics like engagement, retention, and conversion. Analyze experiment results and generate actionable insights to guide product improvements. Conduct deep-dive user behaviour analyses using statistical techniques and machine learning to uncover trends and root causes. Translate complex data into clear, strategic recommendations for product enhancements. Build and maintain intuitive dashboards to track product and feature performance in real time. Visualize data effectively to highlight trends, anomalies, and opportunities, enabling data-driven decisions across teams.

We are looking for someone with at least 3 years of experience in the product analytics space. Proficiency in SQL, Python, and R for handling large datasets is required. Advanced knowledge in statistical methodologies and machine learning to uncover insights is essential. Experience designing and implementing A/B tests and other experiment frameworks is necessary. Ability to analyse results to derive actionable insights is critical. Experience creating dashboards using tools like PowerBI for informed decision-making is desirable.

As a skilled data analysis professional, you will be responsible for collecting and analyzing large datasets from bus and rail AFC devices. This involves identifying trends and anomalies, as well as applying statistical techniques to analyze data and provide ongoing reports.

You will also be working with complex data sets to identify trends and patterns, which will inform predictive maintenance and system optimization strategies. Your expertise in data visualization will enable you to present findings in a clear and concise manner, making it easier for stakeholders to understand and act on insights.

To succeed in this role, you should have experience with data modeling and analysis, as well as proficiency in programming languages such as Python and SQL. Familiarity with automation tools, cloud concepts, and cloud deployments is also highly desirable.

We are looking for a motivated individual who can work effectively in a team environment, prioritizing business needs and developing strategies for process improvement. If you have a strong interest in data analysis and want to make a real impact in the industry, we encourage you to apply for this exciting opportunity.

• Data Management and Analysis: Collect, sanitize, monitor, and analyze data from bus and rail AFC devices.
• Data Interpretation and Reporting: Apply statistical techniques to analyze data, provide ongoing reports, and visualize insights to inform business decisions.
• Complex Data Analysis: Identify, analyze, and interpret trends and patterns in complex data sets to inform predictive maintenance and system optimization.
• Data Visualization and Communication: Present findings in a clear and concise manner, translating complex data insights into actionable recommendations.
• Collaboration and Prioritization: Work with management to prioritize business needs, develop strategies for process improvement, and identify opportunities for optimization.
• Process Improvement: Continuously seek out new opportunities for process improvement, leveraging data-driven insights to drive business outcomes.

Required Skills and Qualifications:

• Proficiency in reporting packages (e.g., Cognos) and databases (e.g., SQL).
• Programming skills in Python and experience with ETL frameworks.
• Familiarity with Python libraries (Pandas, NumPy, Scikit-learn, Python Dash, Streamlit).
• Good understanding of cloud concepts and cloud deployments.
• Familiarity with automation tools (e.g., Power Automate, N8N).
• Frontend Development: Creating client-side applications, focusing on layout, design, and user experience.

Benefits:

• Experience working with complex data sets and developing predictive models.
• Opportunity to work with a talented team of professionals who share your passion for data analysis.
• Professional development and growth opportunities.