933 Qlik Analyst jobs in Singapore

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.

• 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.

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.

The primary function of this position is to lead data analysis efforts for customer and internal team purposes. This includes analyzing H-M Matching & HDD Optimization, isolating the impact of Head & Media Component on HDD optimization, identifying key performance indicators (KPIs) and media parameters that affect HDD performance, and developing predictive models to forecast HDD performance during the media development stage.