159 Data Visualization jobs in Singapore
Data Visualization & Analytics Specialist ASP
Posted 10 days ago
Job Viewed
Job Description
As a Data Visualization & Analytics Specialist at Kuehne+Nagel,you will leverage from the available data available from KN WMS and customer WMS to improve our operational capabilities to deliver the workload for your staff.The person has a background in either logistics or in tech, but you will be excited about what improvements and visibility can do to reduce the waste in our process and improving the experience for both employees and customers.
**?**
**How you create impact**
+ Map the different process steps within the system and provide an overview of the visibility available through existing data sources and tools.
+ Develop a set of standardized reports for Swiftlog operations to promote best practices and streamline report implementation.
+ Support planners and analysts by helping them understand how to visualize and access the information they need to plan and trigger tasks effectively.
+ Create reports using the most appropriate tools based on operational needs, including Tableau, Power BI, Excel, or OPER.
+ Assist operations in automating tasks using Macros or other emerging technologies to enhance design principles, administrative workflows, and operational processes.
+ Identify and evaluate emerging technologies and trends, and assess their potential impact on reporting practices and process efficiency.
+ Provide guidance and support to operational teams on how to leverage reports and technologies to improve administrative and operational performance.
+ Upskill team members by training them to use reporting and analytics tools effectively and safely.
**What we would like you to bring**
+ Minimum of 3 years of experience in a similar role, preferably within a large logistics environment.
+ Proven specialist knowledge and hands-on experience with logistics information systems.
+ Experience with server-based computing is a plus.
+ Affinity with logistics processes.
+ Able to analyze problems clearly and quickly come to a practical solution.
+ Advanced Excel (Macros and Power Query).
+ Knowledge of SQL.
+ Communicative skills, both oral and written.
+ Creative and Independent.
+ Willingness to travel to the various KN branches.
**What's in it for you**
As an employer, Kuehne+Nagel stands for equal opportunity and we are committed to diversity in our teams with regards to people with disabilities. We believe that you can make a valuable contribution to Kuehne+Nagel and look forward to receiving your application.
**Who we are**
Logistics shapes everyday life - from the goods we consume to the healthcare we rely on. At Kuehne+Nagel, your work goes beyond logistics; it enables both ordinary and special moments in the lives of people around the world.
As a global leader with a strong heritage and a vision to move the world forward, we offer a safe, stable environment where your career can make a real difference. Whether we help deliver life-saving medicines, develop sustainable transportation solutions or support our local communities, your career will contribute to more than you can imagine.
Kuehne + Nagel is an equal employment/affirmative action employer. If you require an accommodation for any part of the online application process due to a disability, please contact the Employee Services HR Help Desk at 1- during the hours of 8:00am - 5:00pm EST; Monday through Friday or via e-mail at: with the nature of your request. We will answer your inquiry within 24 hours.
Asia Data Visualization Team Leader - Singapore
Posted 22 days ago
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Job Description
Location
Singapore
Business Area
News and Media
Ref #
10045018
**Description & Requirements**
Bloomberg News is one of the biggest financial and business news organizations in the world. We lead the way in breaking news and providing analysis on financial markets, from intraday coverage through in-depth features. We are known for our quality, accuracy and ability to deliver news investors can use. It's what keeps us inventing and re-inventing, all the time.
We are seeking a Team Leader in Singapore to manage and edit a team of graphics reporters in Asia and work closely with newsroom editors in the region across coverage areas. In addition to the graphics team in Asia, you'll collaborate with a team of graphics editors and reporters in London and the US.
Your curiosity and enthusiasm for core Bloomberg coverage areas - finance, markets, economics, geopolitics, among others - and your eagerness to engage with reporters and editors of those areas will put you at the center of our coverage of the most important stories in the region. Collaboration with newsroom colleagues is critical to ensuring that our team's contributions to newsroom coverage are well coordinated and timely, and that we are involved early in stories with high data and visual storytelling potential.
You'll also identify opportunities for graphics and visual narratives that help readers understand events as they evolve, and inspire data visualization reporters to create clear and informative graphics and visual stories on a range of topics and deadlines. Relying on your sound news judgment, refined design sensibilities and technical knowledge, you'll edit charts, maps and graphics, as well as ambitious, data-driven visual narratives.
You'll assign stories - and inspire reporters to generate ideas for graphics and visual narratives - that push our coverage forward, and you'll deliver clear, actionable feedback as you edit. We value editors who lead by example and pitch in to ensure we publish on deadline. Most of all, we'll expect you to be a supportive manager - as eager to share your own ideas as you are encouraging of others - who finds reward in elevating and refining the work of the team.
Prior editing or management experience is preferred, but not required. Candidates eager to transition to an editing and management role who can show an extensive background creating news-driven data visualizations and leading collaborative projects are encouraged to apply.
**We'll trust you to:**
+ Assign, shape and edit graphics and narrative data visualizations
+ Collaborate with regional beat reporters and editors to develop graphics and data visualizations
+ Work with Data Visualization team members to develop and execute their own story pitches
+ Deliver feedback on how to communicate effectively through graphics
+ Work efficiently under varied deadlines
+ Possess interest in topics core to Bloomberg News coverage - including finance, markets, economics and government policy, among others - and an eagerness to develop subject-matter expertise in these areas
+ Support graphics reporters on the team, both by listening to their ideas and helping them achieve their development goals
**You'll need to have:**
+ At least 5 years of recent experience in journalism
+ Demonstrated experience creating graphics and data visualizations for journalistic publications
+ Experience in using modern HTML, CSS, and JavaScript for graphics or data visualizations
+ Strong communication, project management and other leadership experiences that allow you to effectively edit, lead projects and collaborate with editors across teams in the newsroom
+ Experience conceptualizing and structuring visual narratives and writing copy
+ Strong sense of visual design with solid understanding of layout, typography and user experience and familiarity with design software such as Adobe Creative Cloud
+ Experience evaluating data sources and assessing data reporting
+ Bachelor's degree or degree-equivalent qualifications
+ Fluency in both spoken and written English
+ Demonstrated continuous career growth within an organization
If you think you'd be a good fit to join us, submit an application and include a resume, a brief letter telling us about yourself and a portfolio that demonstrates an understanding of data journalism, design and visual storytelling. Include a link to your Github account if you have one.
Life at Bloomberg is many things, but it's never dull. We're a truly global business with a truly diverse workforce. We pride ourselves on being open, inclusive and collaborative, and provide a work environment that inspires our employees to be their best. We offer competitive compensation, comprehensive healthcare coverage, and programs to support you and your family through different life stages, from parental leave to generous retirement savings plans.
**If this sounds like you:**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this:
**Learn more about our office and benefits:**
Singapore **|**
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Data Analytics
Posted today
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Job Description
This is a specialist role for professionals who possess deep expertise in both advanced data analytics and large-scale data engineering within financial markets. The ideal candidate will bridge the gap between business strategy and technical implementation, delivering actionable insights and robust data infrastructure solutions that directly support investment decision-making.
Role & Responsibilities:
1. Data Research & Analysis
o Conduct in-depth data research and analysis for Private Market Data, Public Market Data, and Financial Data to derive insights that support investment strategies.
o Work closely with investment teams to identify the right data sources and optimize workflows.
o Onboard Financial and Corporate data through the virtualization layer to enable user access for reporting purposes.
2. Data Strategy & Management
o Drive data strategy initiatives, ensuring seamless integration of private and public market data into investment processes.
o Implement and maintain data management frameworks, ensuring high-quality and well-structured data assets.
o Define and optimize data management processes, improving efficiency and reducing operational risks.
o Monitor data governance practices to maintain data integrity, security, and compliance.
3. Technical Implementation & Automation
o Develop and maintain SQL-based queries for data extraction, transformation, and analysis.
o Leverage Python for data processing, automation, and analytics.
o Utilize Denodo for data virtualization and enhancing accessibility to diverse data sources.
o Automate repetitive data tasks using Power Automate to improve efficiency and scalability.
o Manage and optimize DBeaver, Denodo, Toad, and MySQL for database queries and analysis.
o Design, develop, and manage scalable data pipelines using Azure Data Services (preferred) or Snowflake, integrating data from APIs, Web Scraping, SFTP, SharePoint, etc.
o Implement CI/CD pipelines, unit testing, and performance tuning to ensure high-quality data engineering solutions.
4. Business Intelligence & Visualization
o Design and develop interactive dashboards and reports using Power BI or Tableau, providing real-time insights to data teams and senior management.
o Optimize Excel workflows using macros and advanced formulas to support data-driven analysis.
o Partner with business partner to integrate AI-driven analytics leveraging Azure AI Services.
5. Agile & Cross-Functional Collaboration
o Work in an Agile environment (Scrum, Kanban) to manage data projects efficiently.
o Collaborate with research analysts, quantitative teams, and technology teams to enhance data capabilities.
o Drive end-to-end SDLC implementation for data solutions, ensuring best practices and performance optimization.
o Bridge technical engineering teams and business stakeholders, translating data engineering outputs into actionable insights.
Requirements:
• 8-10 years of combined experience in data analytics and data engineering, preferably in financial market data environments.
• Proven expertise in Azure Data Services (preferred), SQL, Python, Denodo, and data orchestration tools (Airflow, Control-M).
• Experience in building, optimizing, and automating large-scale data pipelines and data warehouses.
• Strong background in data research, data modeling, visualization, and governance within investment or financial services contexts.
• Exposure to private and public market data processes is highly desirable.
• Preferred certifications:
o Microsoft Certified: Fabric Data Engineer Associate
o Microsoft Certified: Azure AI Fundamentals
o Microsoft Certified: Power BI Data Analyst Associate
Preferred financial knowledge: CFA Level 1 (or equivalent understanding of investment concepts) is an added advantage.
Excellent communication and stakeholder management skills with a strong problem-solving mindset.
Please refer to U3's Privacy Notice for Job Applicants/Seekers at When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.
Data Analytics
Posted today
Job Viewed
Job Description
This is a specialist role for professionals who possess deep expertise in both advanced data analytics and large-scale data engineering within financial markets. The ideal candidate will bridge the gap between business strategy and technical implementation, delivering actionable insights and robust data infrastructure solutions that directly support investment decision-making.
Role & Responsibilities:
1. Data Research & Analysis
o Conduct in-depth data research and analysis for Private Market Data, Public Market Data, and Financial Data to derive insights that support investment strategies.
o Work closely with investment teams to identify the right data sources and optimize workflows.
o Onboard Financial and Corporate data through the virtualization layer to enable user access for reporting purposes.
2. Data Strategy & Management
o Drive data strategy initiatives, ensuring seamless integration of private and public market data into investment processes.
o Implement and maintain data management frameworks, ensuring high-quality and well-structured data assets.
o Define and optimize data management processes, improving efficiency and reducing operational risks.
o Monitor data governance practices to maintain data integrity, security, and compliance.
3. Technical Implementation & Automation
o Develop and maintain SQL-based queries for data extraction, transformation, and analysis.
o Leverage Python for data processing, automation, and analytics.
o Utilize Denodo for data virtualization and enhancing accessibility to diverse data sources.
o Automate repetitive data tasks using Power Automate to improve efficiency and scalability.
o Manage and optimize DBeaver, Denodo, Toad, and MySQL for database queries and analysis.
o Design, develop, and manage scalable data pipelines using Azure Data Services (preferred) or Snowflake, integrating data from APIs, Web Scraping, SFTP, SharePoint, etc.
o Implement CI/CD pipelines, unit testing, and performance tuning to ensure high-quality data engineering solutions.
4. Business Intelligence & Visualization
o Design and develop interactive dashboards and reports using Power BI or Tableau, providing real-time insights to data teams and senior management.
o Optimize Excel workflows using macros and advanced formulas to support data-driven analysis.
o Partner with business partner to integrate AI-driven analytics leveraging Azure AI Services.
5. Agile & Cross-Functional Collaboration
o Work in an Agile environment (Scrum, Kanban) to manage data projects efficiently.
o Collaborate with research analysts, quantitative teams, and technology teams to enhance data capabilities.
o Drive end-to-end SDLC implementation for data solutions, ensuring best practices and performance optimization.
o Bridge technical engineering teams and business stakeholders, translating data engineering outputs into actionable insights.
Requirements:
• 8-10 years of combined experience in data analytics and data engineering, preferably in financial market data environments.
• Proven expertise in Azure Data Services (preferred), SQL, Python, Denodo, and data orchestration tools (Airflow, Control-M).
• Experience in building, optimizing, and automating large-scale data pipelines and data warehouses.
• Strong background in data research, data modeling, visualization, and governance within investment or financial services contexts.
• Exposure to private and public market data processes is highly desirable.
• Preferred certifications:
o Microsoft Certified: Fabric Data Engineer Associate
o Microsoft Certified: Azure AI Fundamentals
o Microsoft Certified: Power BI Data Analyst Associate
Preferred financial knowledge: CFA Level 1 (or equivalent understanding of investment concepts) is an added advantage.
Excellent communication and stakeholder management skills with a strong problem-solving mindset.
Please refer to U3's Privacy Notice for Job Applicants/Seekers at When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.
Data Analytics Engineer
Posted 4 days ago
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Job Description
Join to apply for the Data Analytics Engineer role at Internal Security Department
What The Role Is
ISD confronts and addresses threats to Singapore’s internal security and stability. For over 70 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD’s critical mission of keeping Singapore safe, secure, and sovereign for all Singaporeans.
We utilise state-of-the-art technology and technical know-how to safeguard Singapore’s security and sovereignty. We need highly motivated Data Analytics Engineers to design and build powerful data science and analytics tools required to conduct data mining and facilitate data-driven decision making.
Besides being passionate about data, analytics, and software engineering, candidates should also be driven by our mission to make Singapore a safer home, and enjoy working on challenging, diverse, and unique problem statements. You will be supported by a team of highly technical and collaborative colleagues with opportunities for advanced training, including leading overseas conferences and courses.
What You Will Be Working On
- Design, develop, deploy, and maintain analytics solutions that allow internal business teams to make data-driven decisions
- Evaluate, adopt, integrate, and build on open-source and commercial analytics tools
- Work closely with end users, data scientists, data engineers, and project managers in the planning, development, and delivery of solutions
- Evaluate, maintain, and optimize code for accuracy, performance, maintainability, and scale of data queries, machine learning models, and data visualizations
- Recommend and evaluate technologies to introduce new analytics capabilities
What We Are Looking For
- Applicants with no experience may apply
- Self-motivated, open-minded, resourceful, and meticulous. Able to work independently and in teams.
- Ability to keep the overarching objectives of the project in mind while pursuing the technical details.
- Competent in at least one programming language (e.g., Python, Java, JavaScript, C/C++, C#, SAS, R, Scala). Interest and ability to gain expertise in other programming languages, frameworks, and technologies.
- Familiarity with one or more database querying languages (e.g., SQL, Pig, Hive, SparkQL).
- Knowledge and experience with any of the following would be an advantage:
- Machine learning (e.g., predictive analytics, natural language processing)
- Data analytics (e.g., descriptive statistics, modeling)
- Big data technologies (e.g., Hadoop, Spark, Hive, Impala, HBase, Elasticsearch)
- Web development (e.g., HTML, CSS, JavaScript, PHP, Python, Ruby on Rails)
- Data visualisation (e.g., UX/UI design, PowerBI, D3, Tableau)
- System administration (e.g., OS, networking, databases)
- Container technologies (e.g., Docker, Kubernetes)
We wish to inform you that only shortlisted candidates will be notified.
Seniority level- Entry level
- Full-time
- Information Technology
- Government Administration and Industrial Machinery Manufacturing
Referrals increase your chances of interviewing at Internal Security Department by 2x
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#J-18808-LjbffrData Analytics Strategist
Posted today
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Job Description
This role requires a seasoned professional to spearhead the implementation and delivery of our organization's Digital roadmap. Focusing on the Central Audit Analytics Platform (CAAP), you will drive IA's digital vision by leveraging technology, automation, and data analytics to enhance auditors' efficiency and effectiveness, and gain deeper insights.
Key ResponsibilitiesWe are looking for an experienced Data Analyst with strong technical skills and excellent communication abilities.
- Data Management: Work closely with Data Scientists to create key data pipelines for heterogenous datasets ensuring the accuracy and integrity of data used in reporting.
- Data Analysis and Problem Solving: Utilize data analytics for structured and unstructured data to identify patterns and anomalies and generate actionable insights to enhance risk and controls, outlining data lineage to trace sources of anomalies and develop and maintain reports and dashboards using Tableau, Excel, and other BI tools.
- Security and Compliance: Address data risks, including those related to PII (Personally Identifiable Information) and ensure secure data handling throughout the pipeline.
- Business Decision Support: Work closely with Internal Auditors to analyze large data sets, trends and results to drive data-driven operational risk decisions and provide recommendations based on data analysis to support business decision-making.
To succeed in this position, you should have:
- Strong experience with Tableau, data tools like Power BI and programming languages such as Python, R in cloud-based data environments like AWS.
- Expertise in handling structured and unstructured data, with a passion for delivering value and driving successful outcomes.
- Excellent communication skills and interpersonal skills to work effectively with cross-functional teams.
- Experience in leveraging Gen AI to expedite the delivery of solutions.
Data & Analytics Intern
Posted today
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Job Description
About Us
Zeno is an award-winning, global integrated communications agency, born from PR, operating across North America, Europe, and Asia.
Zeno Singapore is an integrated, digital-social by design agency. We produce creative campaigns for local, regional, and global clients. In doing so, we solve business problems and help our clients navigate an ever-evolving landscape through a unique blend of creativity and technology.
We are purpose-driven and committed to a positive culture that supports and nurtures, while also inspiring everyone to push limits and to embody our 'Fearless Pursuit of the Unexpected'.
About the internship
We are a rapidly growing agency that provides opportunities to learn, develop skills, and collaborate with colleagues at all levels across our global network. We are always looking for diverse talent who can bring great energy to our teams and our business.
As a Data & Analytics Intern at Zeno, you will play a crucial role in supporting our insights team with data preparation, analysis, and reporting that informs client communication strategies. You will gain hands-on experience in the rapidly growing field of data analytics within communications, developing valuable skills that will serve you throughout your professional career, including:
- Data cleaning, preparation, and validation to ensure accuracy and reliability
- Support in creating dashboards and visualisations that tell compelling stories from data
- Media monitoring and coverage analysis across various channels
- Assistance with social listening and sentiment analysis
- Experience using GenAI tools to enhance data processing and analysis workflows
- Research for client briefs and support on new business pitches
- Collaboration with account teams to develop data-driven recommendations
Qualifications
- Polytechnic or university undergraduates in relevant fields (Data Science, Analytics, Statistics, Communications with a quantitative focus)
- Familiarity with data tools such as Excel, Google Sheets, or similar platforms
- Basic understanding of data visualisation principles
- Detail-oriented with a methodical approach to work
- Strong critical thinking and problem-solving skills
- Strong communication skills, with the ability to explain data insights clearly
- Self-motivated and able to work both independently and as part of a team
- Interest in communications, media, and the application of data in PR strategies
- Experience with programming languages (Python, R) or BI tools (Power BI, Tableau) is a plus, but not required
Availability: Immediate start preferred; minimum commitment of three months; full time commitment
Tell employers what skills you haveTableau
Microsoft Excel
Data Analysis
Critical Thinking
Sentiment Analysis
Reliability
Zeno
Python
Communication Skills
Statistics
Data Science
Data Analytics
Power BI
Ability to Prioritize
Data Visualisation
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Data Analytics Consultant
Posted today
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Job Description
This is a 5-months contract role.
Responsibilities:
- Analyze data from various sources to identify business opportunities for clients.
- Build strong working relationships with clients' analytics, tech, and data teams.
- Recommend measurement and attribution solutions in partnership with internal experts.
- Provide sector insights and forecasts to support sales meetings.
- Contribute to sales strategies using insights from tools like GMP, SA360, and data science.
- Co-develop measurement plans with clients to support decision-making.
- Work with sales teams to craft data-driven proposals and presentations.
- Translate complex data into clear business insights for marketing and product strategies.
- Help clients connect marketing goals to media performance using effective measurement.
- Build and refine dashboards, models, and tools to improve client performance.
- Promote the use of analytics, attribution, and conversion tracking tools.
- Create insights and presentations that influence client strategy.
- Use research and industry data to help clients reach their target audiences.
- Help develop joint business plans focused on measurement and data strategies.
Requirements:
- 5-6 years of data analysis and visualization skills, working on large volumes of data.
- Experience advising clients and providing consultative insights.
- Knowledge of experimentation and measurement techniques.
- Familiarity with analytics tools and platforms.
- Understanding of measurement platforms (e.g., GMP, SA360).
Machine Learning
Business Intelligence
Data Analysis
Big Data
Experimentation
GMP
Strategy
SQL
Advising Clients
Python
Statistics
Data Science
Visualization
Data Analytics
People Management Experience
Marketing Analytics
Data Analytics Professional
Posted today
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Job Description
Job Title: Data Scientist
Job DescriptionWe are seeking an experienced data scientist to join our team and contribute to the design, development, and deployment of data analytics products.
Data Analytics Executive
Posted today
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Job Description
Job Scope
· Develop, maintain, and improve profiling tools to support systematic planning and targeted care delivery.
· Consolidate, analyse, and report on performance indicators related to population health.
· Coordinate and facilitate meetings, workgroups, and user group activities related to data and analytics.
· Handle requests for data and analytics, ensuring accuracy, timeliness, and relevance.
· Support the effective use of data for strategic planning, decision-making, and programme improvement.
· Contribute to projects addressing clinical, preventative, social, environmental, and behavioural determinants of health.
· Provide administrative and operational support for projects as assigned.
Job Requirements
· Bachelor's degree in Mathematics, Public Health, Statistics, or related discipline preferred.
· Proficiency in Microsoft Office (Word, Excel, PowerPoint) required; experience with analytics and visualisation tools (e.g., Tableau, Power BI) is an advantage.
If you are interested in any of the positions, do kindly drop your most updated resume to
Kailey Lee Jia Yueh
EA Personnel No: R24126040
Recruit Express Pte Ltd (Healthcare & Lifesciences Division)
EA License: 99C4599
Tell employers what skills you haveTableau
Lifesciences
Strategic Planning
Microsoft Office
Microsoft Excel
Data Analysis
Public Health
Healthcare
Mathematics
Data Management
Population Health
PowerPoint
Python
Excel
Statistics
Data Analytics
Power BI