501 Data Analyst jobs in Singapore

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry standard methodologies when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences. This critical team is responsible for handling enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to redefine the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into useful information
• Maximize the power of closed loop through Amex network to make decisions more intelligent and relevant
• Work with extensive amounts of digital data (Web, App, API) , External data and sophisticated tools in an industry leading Big Data environment.
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions

Qualifications:

• Masters in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) or Masters in Business Administration with hands-on experience using sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Proven ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multitask
• Strong communication skills
• Preferably 1-2 year of experience in AI/ML or Data Analytics
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

Compliance Language

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

• Possess a degree in Computer Science/Information Technology or related fields.
• 2 to 7 years of hands-on experience in data management or data analytics within investment and banking industry.
• Experience in SQL, Python and Snowflake
• Confident and comfortable engaging with various business end users and stakeholders at all levels.
• Meticulous, with a keen eye for details, especially with numbers.
• Experience in data validation and correction tasks.
• Able to multi-task across various activity streams
• Strong problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Agile, fast learner and able to adapt to changes.

• Overall 3+ years and above experience in data management or data analytics within investment and banking industry .
• Experience in SQL and Python
• Create meaningful insights through programming and integration of new data sources deployed in Bl tools
• Handle data issue management, identifying and troubleshooting issues as they arise.
• Perform User Acceptance Testing (UAT) to ensure data accuracy and functionality.
• Provide documentation support for technical and functional specifications.
• Maintain a strong understanding of investment data domain to ensure alignment with business needs.
• Deep understanding of data modeling, data governance, and data warehousing concepts.
• Perform validations on client instructions and seamlessly administer client user access to electronic banking products on provisioning applications in a controlled and risk-free manner.
• Be aware of operational risk scenarios associated with the role and develop ideas to mitigate risk

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at .

Our Risk Assurance Practice provides an invaluable safeguard in today’s complex operating environment with insights and independent assurance. We work with clients to deliver business control to help them to protect and strengthen every aspect of their business from people to performance, systems to strategy, business plans to business resilience. We help clients manage, mitigate and control risks from potential cybersecurity breaches to possible breaks in the supply chain. We assess and prepare businesses by looking into their technology, finance, data analytics, regulatory requirements, data security and privacy, internal audit, and the third parties our clients rely on, to help clients deliver quality results and meet their strategic objectives.

How will you value-add?

• Model the objects in the organisation's core SQL database
• Maintain the data dictionary
• Document and monitor the connections to the source databases
• Ensure data quality in the data mart through the development and maintenance of exception reports
• Automate information retrieval from external sources
• Develop business intelligence dashboards using PowerBI and Google Lookers
• Perform ETL using Alteryx, Python, or R

About you

• Bachelor's degree in computer science, data science, or a related field
• 1-2 years of experience with SQL
• Experience with data modelling and data dictionary management
• Experience with ETL tools such as Alteryx, Python, or R
• Experience with business intelligence tools such as PowerBI and Google Lookers
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills

1. Responsible for handling warehouse data, such as main and branch line capacity and air freight capacity data analysis.

2. Monitor end-to-end timeliness of express deliveries, identify any abnormalities in the process, and promptly follow up and handle feedback on issues.

3. Supplier management: signing contracts with vehicle suppliers and agents, monitoring supplier service quality, verifying monthly invoices, and submitting payment processes.

4. Any other tasks as assigned by superiors.

Company Description

ESGpedia is Asia’s leading ESG data and technology company, headquartered in Singapore. The ESGpedia platform powers the ESCAP Sustainable Business Network (ESBN) Asia-Pacific Green Deal digital platform, the Asia-Pacific Single Accesspoint for ESG Data (SAFE) initiative, and the Singapore-Australia Go-Green Co-Innovation Programme. With more than 5 million sustainability data points, ESGpedia serves as the Nexus of ESG, digitally empowering corporates, SMEs, and the financial sector to ensure compliance towards ESG regulations and attain their ESG goals. ESGpedia is GRI-licensed. For more information, please visit

Job Summary

As a Data Analyst at ESGpedia, you will play a key role in advancing sustainability reporting by supporting the preparation of various sustainability data points and analyzing environmental data from companies across various industries. This role is essential to ensuring the accuracy, integrity, and usability of emissions data, enabling credible Scope 1, 2, and 3 reporting. Your insights will directly contribute to ESGpedia’s mission of building a transparent and standardized ESG data ecosystem that drives climate accountability.

Job Responsibilities

Your core responsibilities:

1. Define and implement data collection and validation logic for optimal scalability and performance with automation

2. Work closely with the Product and Engineering teams to understand analytical needs and deliver actionable insights to our end users

3. Provide technical expertise in data storage structures, data mining and data cleaning

4. Deliver Business Intelligence (BI) dashboards that visualize analytical results

5. Collaborate on AI-related projects to extract, analyse, and gather data for advanced analytics and reporting tasks.

Requirements

· >1 years of experience as a Data Analyst. Fresh graduates are welcomed to apply

· Strong written and verbal communication skills

· Proven analytical skills such as data mining, evaluation, analysis and visualization

· Demonstrated experience in handling data in relational and NoSQL databases

· Detail oriented and data driven, strong in problem solving skills

· Proficient in SQL and Python

· Proficient with the use of MS Excel, Powerpoint, Word

What you will need to thrive:

· Value teamwork above all.

· Natural curiosity to learn.

· Loves to work with code.

· Intrinsically motivated personality.

· High adaptability and strong problem-solving skills.

· Customer focused mindset.

· Self-starter who thrives on complexity and independence.

· Comfortable working in a fast-paced environment.

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Company Description

We are a fast-growing technology company operating at the intersection of artificial intelligence, data, and enterprise innovation. Our work spans multiple domains and industries, where we focus on developing cutting-edge solutions that empower users, streamline workflows, and push the boundaries of what’s possible with modern AI. Backed by a lean and driven team, we move quickly, value clarity and impact, and are looking for individuals who thrive in an environment where ambiguity is embraced and challenges are opportunities.

About the job

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.

Responsibilities

• Understand the day-to-day issues that our business faces, which can be better understood with data
• Compile and analyze data related to business' issues
• Develop clear visualizations to convey complicated data in a straightforward fashion

Qualifications

• Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience
• 1 - 2 years' Data Analysis experience
• Proficient in SQL

Position managed by:

Kai Hong Tay

Sin Shin Advisory Pte Ltd (EA License: 20C0267, UEN: 201330910M, EA Reg No: R24124692)

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us.

Location: Central

Roles and Responsibilities:

• Extract, clean, and transform large datasets using Databricks and Spark
• Develop ETL pipelines for structured and unstructured data sources.
• Optimize data workflows for efficiency and scalability.
• Utilize SQL and Python for data querying, aggregation, and manipulation.
• Develop and maintain data models and dashboards to support decision-making.
• Create interactive dashboards and reports
• Translate data insights into actionable recommendations for business stakeholders.
• Ensure the accuracy and integrity of reported data.
• Work closely with business teams, data engineers, and product managers to understand requirements.
• Communicate insights and findings through visual storytelling and reports.
• Participate in Agile sprints, stand-up meetings, and data strategy discussions.

Skills Required:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• At least 1 year experience as a Data Analyst
• Proficiency in Python for data analysis and transformations.
• Knowledge of cloud platforms is a plus.
• Familiarity with data visualization tools (Tableau, Power BI, Databricks SQL)

Maltem Asia is seeking a Data Analyst for a Wealth Management Client based in Singapore.

Summary:

• Support Sustainability data operations and management -Environmental, Social and Governance (ESG) project.
• The successful candidate will play an integral role in partnering the business to roll out sustainability metrics.
• He/she will be stewarding and maintaining the sustainability data and its various metrics in the data warehouse.
• He/she will be involved in various datamanagement tasks, including operations, data validation, troubleshooting and enhancement.

Requirements:

• Candidate with immediate availability or shorter notice period (one month and lesser) is required for this role.
• Possess a degree in Finance, Business or related fields.
• 2 to 4 years of hands-on experience in data management or data analytics within investment and banking industry.
• Experience in SQL is a must. Python is optional but good to have.
• Meticulous, a keen eye for details, and strong documentation process.
• Experience in data operations tasks.
• Able to multi-task across various activity streams.
• Strong problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Agile, fast learner and able to adapt to changes