186 Dashboard Development jobs in Singapore

Bank Sector Client Singapore: Enterprise Data Governance | Data Management

- Summary: Work with stakeholders to understand business and functional requirements for data quality initiatives, using SQL queries for data extraction/table creation to ensure optimal data quality scores.

-Mandatory Skills: SQL (Query, Table Creation), Qlik Dashboard Visualization Development, Stakeholder management, strong presentation skills in PowerPoint, Project/time management experience.

- Good to have: Python Scripting & Automation

Job Description: Technical development work for upcoming Data Quality initiatives

- Collaborate with internal and external stakeholders to understand business needs and translate them into analytical solutions.

- Strategic thinker with a proactive approach to problem solving paired with strong stakeholder engagement skills

- Ability to story tell with data, articulating key points for consideration, as opposed to reading numbers off the dashboard

- Perform data profiling using SQL on large datasets to identify potential data quality issues.

- Develop and amend Qlik dashboard visualizations, in accordance to business requirements.

- Execute technical analysis with respect to data quality processes including requirement gathering, root cause analysis, dashboard wireframes and stakeholder engagement.

- Develop and perform SIT/UAT test cases for data quality rules and dashboard visualizations.

- Validation of technical implementation to ensure deliverables are fit for requirement with users.

- Strong written and presentation communication skills including dashboards and PowerPoint presentations

- Business process improvement and optimization including creation of SOP

- Develop and amend data quality rules using Python or Informatica IDQ, in accordance to business requirements (good to have)

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About us:

D L Resources Pte Ltd is a leading provider of IT Professional Services & Banking outsourced staffing solutions, serving a diverse portfolio of clients across various industries including Financial Services Institutions, Banks & MNCs.

Interested candidates may reach out directly to our recruiters (Edwin: +65 8 8 3 3 0 1 9 2 | EA License No: 24C2333 | EA Personnel No: R )

Bank Sector Client Singapore: Enterprise Data Governance | Data Management
- Summary: Work with stakeholders to understand business and functional requirements for data quality initiatives, using SQL queries for data extraction/table creation to ensure optimal data quality scores.
-Mandatory Skills: SQL (Query, Table Creation), Qlik Dashboard Visualization Development, Stakeholder management, strong presentation skills in PowerPoint, Project/time management experience.
- Good to have: Python Scripting & Automation
Job Description: Technical development work for upcoming Data Quality initiatives
- Collaborate with internal and external stakeholders to understand business needs and translate them into analytical solutions.
- Strategic thinker with a proactive approach to problem solving paired with strong stakeholder engagement skills
- Ability to story tell with data, articulating key points for consideration, as opposed to reading numbers off the dashboard
- Perform data profiling using SQL on large datasets to identify potential data quality issues.
- Develop and amend Qlik dashboard visualizations, in accordance to business requirements.
- Execute technical analysis with respect to data quality processes including requirement gathering, root cause analysis, dashboard wireframes and stakeholder engagement.
- Develop and perform SIT/UAT test cases for data quality rules and dashboard visualizations.
- Validation of technical implementation to ensure deliverables are fit for requirement with users.
- Strong written and presentation communication skills including dashboards and PowerPoint presentations
- Business process improvement and optimization including creation of SOP
- Develop and amend data quality rules using Python or Informatica IDQ, in accordance to business requirements (good to have)
===
About us:
D L Resources Pte Ltd is a leading provider of IT Professional Services & Banking outsourced staffing solutions, serving a diverse portfolio of clients across various industries including Financial Services Institutions, Banks & MNCs.
Interested candidates may reach out directly to our recruiters (Edwin: +65 8 8 3 3 0 1 9 2 | EA License No: 24C2333 | EA Personnel No: R )

Job Description:

Durapower Technology is seeking a detail-oriented and motivated intern to assist in developing, maintaining, and optimizing business analytics dashboards.

This role will offer hands-on experience with real-world data, visualization techniques, and stakeholder communication.

Key Responsibilities:

• Design and build data visualizations to communicate key business metrics.
• Gather and analyze business requirements from stakeholders.
• Prepare, clean, and manipulate datasets for reporting purposes.
• Support ad-hoc data analysis and reporting needs.
• Collaborate with data analysts and engineers to ensure data accuracy.
• Document processes and dashboard user guides.

Required Skills:

• Basic knowledge of Tableau or other business intelligence tools.
• Strong understanding of data visualization best practices.
• Proficiency in Excel; familiarity with SQL is a plus.
• Analytical mindset and attention to detail.
• Good communication and documentation skills.

Preferred Qualifications:

• Pursuing a degree in Data Analytics, Business, Computer Science, or a related field.
• Prior coursework or projects involving dashboards or business analytics.
• Familiarity with data modeling or ETL concepts is a plus.

What You'll Gain:

• Hands-on experience with real business datasets.
• Exposure to data-driven decision-making processes.
• Mentorship from experienced professionals.
• Opportunity to contribute to meaningful projects that drive business value.

We are seeking an experienced IT Business Data Process Analyst to enhance our team in Singapore.

• Analyzing current business processes, workflows, and procedures using Python data analysis techniques to identify areas for improvement.

• Leveraging data analytics and visualization skills to drive digitalization initiatives using Python and Tableau.
• Developing optimized processes and procedures to improve efficiency, productivity, and customer satisfaction.

• Bachelor's or master's degree in information technology, engineering, computer science, or related fields.
• At least 9 years of experience in business process data analysis and IT project management.
• Proficient in SQL data analysis and strong analytical skills with the ability to collect, study, and interpret complex data.
• Familiarity with process mapping and modeling techniques, as well as Incident/Problem/Change Management frameworks such as ITIL TQM or ISO 9000:2000.
• Excellent communication and teamwork skills, with proficiency in Microsoft Office suite, including advanced Excel, PowerPoint, and Visio.

• 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.

• 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.

As a risk assessment and data analysis expert, you will drive business decisions by combining actuarial knowledge with advanced data analytics skills.
Your Key Responsibilities

• Analyse treaty terms and product features in collaboration with actuarial and accounting teams to ensure accurate interpretation and implementation.
• Lead the onboarding of new treaties into our systems, ensuring accurate mappings, data consistency, and validation of results.
• Maintain high data quality by performing comprehensive checks, cleaning, and reconciliations, supporting portfolio management and pricing analysis.
• Design and maintain dashboards on Excel and Power BI to visualize, monitor, and analyse client data for business decision-making.
• Conduct ad-hoc analyses, including premium reconciliations, claims investigations, and preparation of datasets for experience studies and management reporting.
• Liaise with clients and internal stakeholders to identify, investigate, and resolve data issues, ensuring robust documentation and consistent data standards.
• Review and validate analytical outputs and data processes to ensure accuracy and uphold high-quality output from the team.
• Support junior members of the team in expanding their actuarial, systems, and insurance knowledge.

• Fellow of a recognized actuarial body.
• Bachelor's degree in Actuarial Science or related field, with a strong interest in data analytics.
• Minimum 3 years of experience in actuarial-related roles; experience in life insurance industry preferred.
• Proficient in Excel and SQL, with hands-on experience in data automation and managing large datasets.
• Skilled in data visualization, particularly using Power BI to develop clear and insightful dashboards.
• Strong analytical and problem-solving skills to interpret complex data structures and ensure high levels of data accuracy through thorough validation and reconciliation.

We are seeking a highly skilled Data Analytics Specialist to join our team. The successful candidate will be responsible for driving our digital vision by leveraging technology, automation, and data analytics to enhance auditors' efficiency and effectiveness.

The ideal candidate will have a strong background in data pipeline construction and data lake management, as well as expertise in handling structured and unstructured data. They will also have excellent technical skills in relevant data analytics tools (Python, R etc) and AWS cloud platform.

In this role, you will work closely with Internal Auditors to analyze large data sets, trends and results to drive data-driven operational risk decisions. You will also be responsible for addressing data risks, including those related to PII (Personally Identifiable Information), and ensuring secure data handling throughout the pipeline.

You will be required to leverage data analytics for structured and unstructured data to identify patterns and anomalies and generate actionable insights to enhance risk and controls. This will involve using quantitative analysis methods for business decisions and applying data team's expertise to solve critical technical problems.

The successful candidate will have a Bachelor's degree in Computer Science or equivalent, with 10+ years of data analytics experience. They will also have a passion for delivering value and driving successful outcomes for the organization.

• Bachelor's degree in Computer Science or equivalent, with 10+ years of data analytics experience
• Proven expertise in data pipeline construction and data lake management
• Expertise in handling structured and unstructured data
• Strong technical skills in relevant data analytics tools (Python, R etc) and AWS cloud platform
• Excellent communication skills
• Leverage of Gen AI to expedite the delivery of solutions

This is an exciting opportunity to work with a leading organization and contribute to the development of innovative solutions. We offer a competitive salary package, comprehensive benefits, and opportunities for professional growth and development.

If you are a motivated and experienced data analytics professional looking for a new challenge, please apply today. We look forward to hearing from you!

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.