515 Data Insights jobs in Singapore

Job Title: Data Insights Professional

We are seeking a highly skilled Data Insights Professional to join our team. In this role, you will be responsible for developing data models and analyzing data to provide valuable insights that support decision-making processes.

The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning techniques. You will work closely with other departments to understand their data needs, provide analytical support, and develop customized data solutions.

Key Responsibilities:

• Create data models to meet various business needs by combining data from different sources.
• Clean, transform, and analyze 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.
• Develop and maintain predictive and statistical models using machine learning techniques.

To succeed in this role, you will need:

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

As a professional in the field of data engineering, you will play a pivotal role in extracting valuable insights from large datasets to optimize business processes. This position involves data extraction, analysis, and actionable recommendations, while collaborating with cross-functional teams to develop and deploy software products.

• Data Extraction and Analysis:
  Collect, clean, and analyze large datasets to ensure consistency, completeness, and correctness.
  Use statistical methods and data mining techniques to identify patterns, trends, and anomalies that impact performance.
• Performance Evaluation:
  Analyze the gap between planned and actual outcomes. Identify root causes for performance deviations and recommend strategies for process improvement. Develop reports and visualizations to present findings to stakeholders.
• Data-Driven Insights:
  Provide actionable recommendations based on data analysis to optimize business processes. Work closely with clients to understand their specific needs and translate data findings into operational improvements.
• ETL and Data Modeling:
  Build and maintain ETL processes to integrate data from various sources into data models. Collaborate with simulation modeling teams to ensure accurate and reliable data is fed into models.
• Consultation Services:
  Act as a trusted advisor to clients by offering data-driven recommendations for enhancing production efficiency. Present analyses and proposals to both technical and non-technical stakeholders.
• Data Visualization and Reporting:
  Create dashboards and reports using advanced data visualization tools to communicate key insights and trends effectively.

• Education:
  Bachelor's/Master's degree in Data Science, Industrial Engineering, or a related field.
• Experience:
  Strong analytical skills with a minimum of 3 years of experience in data analysis, preferably in an industrial environment.
• Technical Skills:
  Proficiency in SQL and Microsoft Excel. Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.
• Analytical Abilities:
  Strong problem-solving skills and the ability to handle large datasets and deliver actionable insights.
• Soft Skills:
  Ability to work collaboratively in a multicultural team. Excellent communication and presentation skills.
• Willingness to Travel:
  Willing to travel for international projects.

• Develop and maintain high-quality dashboards and reports to meet business needs.
• Manage a small team of analysts and engineers to ensure timely delivery of projects.
• Collaborate with stakeholders to understand reporting requirements and translate them into actionable insights.
• Troubleshoot issues and ensure reporting continuity.

• Strong SQL and Python skills.
• Experience with BI tools (e.g., Apache Superset, Google Looker, Microsoft Fabric/Power BI, Tableau).
• Knowledge of web analytics (Google Analytics 4).
• Hands-on experience with data transformation and working across data pipelines.

• A self-starter who is comfortable with ambiguity and evolving priorities.
• Excellent leadership and communication skills.
• Ability to work independently and resourcefully solve day-to-day issues.

We are seeking an accomplished Data Analyst to spearhead data-driven initiatives and deliver actionable insights.

• Gather, cleanse, and validate data from various sources to create a robust dataset.
• Analyze large datasets to identify trends, patterns, and key findings.
• Develop dashboards, reports, and visualizations to communicate complex information effectively.
• Collaborate with cross-functional teams to comprehend requirements and provide data-driven recommendations.
• Monitor key performance indicators (KPIs) and generate actionable insights to enhance business processes.
• Support the design of experiments, A/B testing, and statistical analysis.
• Maintain documentation of methodologies, data sources, and analysis processes.

• Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
• A minimum of 5 years of professional experience in data analysis, business intelligence, or a related role.
• Proficiency in data analysis tools such as SQL, Excel, Python, or R.
• Experience with data visualization tools like Tableau, Power BI, or Looker.
• Strong problem-solving and analytical thinking skills.
• Excellent communication and presentation skills to explain complex data to non-technical stakeholders.
• Familiarity with statistical analysis and predictive modeling is a plus.

This position offers a unique opportunity to leverage your skills and expertise in data analysis to drive business growth and improvement. As a key member of our team, you will have the chance to work on high-profile projects and contribute to the development of our organization.

Please submit your application, including your resume and a cover letter, to be considered for this exciting opportunity. We look forward to reviewing your qualifications and discussing this position further.

We are seeking a skilled professional to develop and implement advanced machine learning algorithms to drive business growth and improve user experience.

This role will involve designing and developing machine learning pipelines to extract actionable insights from large datasets, as well as collaborating with product managers to continuously optimize data products based on data-driven insights.

The ideal candidate will have a strong background in computer science and machine learning, with expertise in programming languages such as Python, Java, Go, or C++.

• Design and develop machine learning pipelines to extract insights from large datasets.
• Develop and optimize data mining strategies, algorithms, and techniques to improve accuracy and coverage of extracted data assets.
• Collaborate with product managers to continuously optimize data products based on data-driven insights.

• Bachelor's degree or higher in Computer Science or related field.
• 5 years of experience in data structures and algorithms, with expertise in machine learning, natural language processing, or data mining.
• Proficiency in Python, Java, Go, or C++ programming languages.
• Familiarity with common data processing technologies (Hadoop, Spark, Hive, Storm, Flink) and data mining tools (TensorFlow, PyTorch).

Job Title: Data Insights Specialist

As a seasoned data insights specialist, you will be responsible for collecting, sanitizing, monitoring, and analyzing large datasets from bus and rail AFC devices. Your role will involve identifying trends and detecting anomalies to inform business decisions.

• Data Modeling and Analysis:
• Data Mining, Clustering, and Segmentation Techniques:
• 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, ScikitLearn, Python Dash, StreamLit):
• Good Understanding of Cloud Concepts and Cloud Deployments:
• Familiarity with Automation Tools (e.g., Power Automate, N8N etc.):
• Frontend Development: Creating the Clientside of Applications, Focusing on Layout, Design, and User Experience:
• Expertise in Creating Dashboards in Tableau and PowerBI:
• Hands-on Experience in Tableau Server (Publishing Workbooks, Administration Settings):

We are looking for candidates with 2-3 years of relevant experience as a Full Stack Developer, Data Analyst or Business Data Analyst. Fresh graduates with relevant expertise and interest will also be considered. A degree in Computer Science, Electrical/Electronic Engineering, Information Management, Statistics, or a related field is required.

• Knowledge of Java:
• Concepts and Application of LLM & GenAI:

At GFin, we're building a team of experts who can leverage data to drive business growth and user satisfaction.

We're looking for a skilled Data Insights Specialist to join our analytics team. As a key member of our team, you will use data to uncover actionable insights about user needs and behaviors, serving as the Voice of the Customer across our suite of products.

You will apply analytical techniques to help launch, refine, and expand product offerings while promoting a culture of data-driven decision-making.

In this role, you will partner with product, design, and engineering teams to derive insights, design experiments, and drive key product decisions. You will support strategic plans with data insights, performing deep-dives into user behavior, segmented views, and product efficacy.

• Develop self-serve solutions for stakeholders that are scalable and automated to handle a product environment.
• Analyze clickstream and transactional data to uncover insights on user behavior and drive product metrics.
• Design, measure, and recommend A/B tests and multivariate experiments.

Other responsibilities include developing insights on user behavior and providing tailored analysis for specific products and strategies.

We strive to create an innovative and collaborative work environment where everyone has the opportunity to grow and succeed. If you're passionate about using data to drive business results, we want to hear from you!

• Strong analytical skills with the ability to communicate complex ideas effectively.
• Experience with data visualization tools and statistical software.
• Familiarity with Large Language Models or Generative Artificial Intelligence.

• A competitive salary and benefits package.
• A dynamic and supportive work environment.
• Opportunities for professional growth and development.

We're a leading provider of financial technology solutions. Our mission is to empower businesses to make informed decisions and drive growth through data-driven insights.

Business Insights Analyst

We're seeking an experienced Business Insights Analyst to support our business in Singapore.

This role involves analysing data, training data and driving improvements in search and recommendation systems.

You'll collaborate closely with Data Scientists and Data Engineers to ensure data quality is maintained at high standards.