363 Analytics Developer jobs in Singapore

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Direct message the job poster from Eames Consulting

About the Role

We are seeking a Senior AI & Analytics Developer to join a dynamic Data & Analytics team based in Singapore. The role involves designing, building, and deploying analytics and AI solutions that enhance innovation and deliver business value. This position requires strong software engineering skills to develop scalable, production-ready machine learning models, APIs, and data-driven applications.

Key Responsibilities

• Design, develop, and maintain end-to-end AI and analytics solutions in collaboration with cross-functional teams.
• Write high-quality, maintainable, and well-documented code adhering to best software engineering standards, including version control and automated testing.
• Develop and optimize data pipelines, ensuring efficient and secure integration from varied sources.
• Build intelligent, API-driven AI services for diverse business use cases using Python and modern AI frameworks.
• Utilize tools and libraries like Pandas and Pydantic for building robust data pipelines; deploy advanced AI workflow automation technologies.
• Implement machine learning and analytics solutions with monitoring for model performance, data drift, and system observability.
• Manage deployment using containerization and workflow orchestration tools.
• Integrate services with cloud platforms and develop microservices architectures with scalable RESTful or GraphQL APIs.
• Ensure solutions comply with security, privacy, and responsible AI standards.
• Keep up-to-date with trends and best practices in AI, analytics, and software development.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
• Strong problem-solving ability and capability to communicate technical information to non-technical stakeholders.
• Hands-on experience with AI/ML frameworks and building production-grade data pipelines following DataOps and MLOps practices.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipeline automation.
• Experience with modern web development and building scalable APIs.
• Knowledge of cloud platforms (preferred but not specific).
• Understanding of security, privacy, and regulatory compliance within AI/ML contexts.
• Prior exposure to regulated industries or financial services is a plus.
• Comfortable using data visualization and team collaboration tools.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Banking, Financial Services, and Data Infrastructure and Analytics

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Queenstown, Central Singapore Community Development Council, Singapore 6 months ago

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I help organisations identify and attract Technology talents. My team has an outreach of Infrastructure, Cloud, Cybersecurity & Tech Risk, Data.

About the Role

We are seeking a Senior AI & Analytics Developer to join a dynamic Data & Analytics team based in Singapore. The role involves designing, building, and deploying analytics and AI solutions that enhance innovation and deliver business value. This position requires strong software engineering skills to develop scalable, production-ready machine learning models, APIs, and data-driven applications.

Key Responsibilities

• Design, develop, and maintain end-to-end AI and analytics solutions in collaboration with cross-functional teams.
• Write high-quality, maintainable, and well-documented code adhering to best software engineering standards, including version control and automated testing.
• Develop and optimize data pipelines, ensuring efficient and secure integration from varied sources.
• Build intelligent, API-driven AI services for diverse business use cases using Python and modern AI frameworks.
• Utilize tools and libraries like Pandas and Pydantic for building robust data pipelines; deploy advanced AI workflow automation technologies.
• Implement machine learning and analytics solutions with monitoring for model performance, data drift, and system observability.
• Manage deployment using containerization and workflow orchestration tools.
• Integrate services with cloud platforms and develop microservices architectures with scalable RESTful or GraphQL APIs.
• Ensure solutions comply with security, privacy, and responsible AI standards.
• Keep up-to-date with trends and best practices in AI, analytics, and software development.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
• Strong problem-solving ability and capability to communicate technical information to non-technical stakeholders.
• Hands-on experience with AI/ML frameworks and building production-grade data pipelines following DataOps and MLOps practices.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipeline automation.
• Experience with modern web development and building scalable APIs.
• Knowledge of cloud platforms (preferred but not specific).
• Understanding of security, privacy, and regulatory compliance within AI/ML contexts.
• Prior exposure to regulated industries or financial services is a plus.
• Comfortable using data visualization and team collaboration tools.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Banking, Financial Services, and Data Infrastructure and Analytics

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Frontend Engineer - Marketplace, Web Frontend Platform

Software Engineer (Frontend, Backend, or Full stack)

Web Frontend Engineer(Work Location: Remote in Taiwan)

Queenstown, Central Singapore Community Development Council, Singapore 6 months ago

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The Quant Trading team is responsible for trading and managing risks associated with different crypto products, including spots and derivatives. The team develops and implements trading strategies in fast-paced and complex trading environments.

Responsibilities

• Develop and enhance applications utilizing Java and Python, with a focus on performance and scalability.
• Implement and maintain event processing and messaging queues, with expertise in Kafka, Flink, and Complex Event Processing (CEP) technologies.
• Design, deploy, and manage cloud-based solutions on AWS, ensuring high availability and scalability.
• Administer and optimize Kubernetes (k8s) clusters for container orchestration and management.
• Conduct quantitative data analysis, leveraging a robust quantitative analytic framework to inform decision-making and improve system performance.
• Develop, maintain, and utilize tools like Prometheus and Grafana for effective time-series data visualization and monitoring.
• Create and manage statistical reports and reporting systems, ensuring they provide actionable insights.
• Collaborate closely with various teams to automate and streamline trading, reconciliation, and analytics workflows.
• Provide advanced technical support and troubleshooting for developed systems and applications.

Requirements

• Minimum of 5 years of professional experience in both Java and Python development.
• Profound knowledge in event processing and messaging queues, including experience with Kafka, Flink, and CEP technologies.
• Strong experience with AWS cloud services and proficient in managing Kubernetes environments.
• Demonstrated ability in quantitative data analysis and familiarity with quantitative analytic frameworks.
• Skilled in the use of Prometheus and Grafana for time-series data visualization and monitoring.
• Experience in developing and maintaining reporting systems with a strong grasp of statistical report generation.
• Prior experience in a trading or financial environment is beneficial but not mandatory.
• Solid understanding of system design, data structures, and algorithms.
• Good problem-solving skills and the ability to work under pressure in a fast-paced environment.
• Excellent communication and teamwork skills.

Nice to Have:

• Familiarity with Aeron messaging and Simple Binary Encoding (SBE) protocol.
• Knowledge of C++ and experience with FPGA programming.
• Understanding of cryptocurrency markets and related technologies.
• Experience with network programming (TCP, WebSocket).
• Experience with Linux system administration and optimization.
• Previous experience with technologies such as Boost, ZeroMQ, MongoDB, Protobuffer.

Data Engineer/Reporting and Analytics Developer

Join to apply for the Data Engineer/Reporting and Analytics Developer role at User Experience Researchers Pte Ltd (Singapore) .

About the Role

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate must have a minimum of 4 years of experience managing data engineering jobs in big data environments, e.g., Cloudera Data Platform. Responsibilities include reporting, designing, developing, and maintaining data ingestion and processing jobs, as well as integrating data sets for seamless access.

Responsibilities

• Analyse the Authority’s data needs and document requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design, and implement data engineering jobs and reporting solutions to meet analytical needs.
• Develop test plans and scripts for system testing and support user acceptance testing.
• Collaborate with technical teams to ensure smooth deployment and adoption of solutions.
• Ensure smooth operations and service levels of IT solutions.
• Support production issues.

Requirements

• Tertiary (College-level) education in relevant fields preferred.
• Experience with waterfall/Agile methodologies.
• Strong analytical, conceptualisation, and problem-solving skills.
• Understanding of analytics and data warehouse implementations.
• Hands-on experience with Python, Pyspark, Linux, and ETL tools like Informatica.
• Strong SQL and data analysis skills; experience with data virtualisation tools like Denodo is a plus.
• Experience with reporting/visualization tools like SAP BO and Tableau is preferred.
• Experience with Cloudera Data Platform is advantageous.

Preferred Candidate Attributes

• Motivated, self-driven, quick learner.
• Collaborative team player.
• Effective communicator with stakeholders.
• Passionate about automation, standardization, and best practices.
• Good presentation skills.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology

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Direct message the job poster from IntelliPro

Senior Consultant, Consumer & Services with Intellipro Group | Ex Castlery & Pace (BNPL) TA

My client, an award-winning data & AI consultancy has secured a multi-year engagement with a global FMCG. We’re partnering them to assemble a new squad to modernise the client’s analytics estate and deliver next-gen decision-support engines. You’ll join as the first Data & Analytics Developer dedicated to rapid prototyping and front-line stakeholder delivery.

What you’ll be doing:

• End-to-end prototypes – turn ambiguous commercial questions into Python/SQL data apps running on BigQuery
• Streamlit / React dashboards – ship self-service tools for category managers, media buyers and e-commerce teams
• dbt modelling – build reusable marts (medallion / dimensional) and document lineage
• Workflow orchestration – deploy Airflow/Cloud Composer DAGs; add alerting, logging, cost controls
• Experimentation – instrument A/B tests and measure uplift for price-promo and shopper-journey features
• CI/CD & code quality – GitHub Actions, unit tests, data contracts; pair-review with senior engineers
• Stakeholder storytelling – demo results, explain trade-offs, and iterate based on feedback from marketing, supply-chain and finance partners

The current tech stack:

BigQuery | Python | SQL | dbt | Airflow / Cloud Composer | Streamlit / React | GitHub

What we're looking for:

• 3 + yrs building analytics solutions on cloud data warehouses (GCP preferred; AWS/Azure acceptable with strong migration story)
• Fluent in Python & advanced SQL; able to profile queries and write test-driven dbt models.
• Hands-on with at least one app/dash framework (Streamlit, Dash, React, etc.)
• Experience scheduling production jobs (Airflow, Prefect, Dagster or similar) and monitoring SLAs
• Comfortable partnering with non-technical colleagues and iterating in agile sprints

License No.22S1076 | EA Reg.: R1878551

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Production

• Industries

  IT Services and IT Consulting

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Manager, Analytics and Business Insights

Director Analytics and Performance Management

Assistant Manager to Senior Manager Analytics & Insights

Senior Manager/Manager, Loyalty Data & Analytics

Senior Business Intelligence Manager, Growth

Senior Director, Regional OE Data Strategy, Operational Analytics and Performance Management

Director, Revenue Planning, Reporting & Analytics - Asia Pacific

Assistant/Deputy Manager - Analytics and Artificial Intelligence

Assistant/Deputy Manager - Analytics and Artificial Intelligence

Assistant Manager, Healthcare Intelligence, Office of Insights & Analytics

Data Analysis Manager (2-year contract, convertible to permanent)

Assistant Director / Deputy Director (Research Analytics)

Data Systems and Analytics - Assistant Manager / Senior Executive

Senior / Manager, Digital Marketing & Loyalty (Data Analytics and Analysis) (Hospitality)

VP/SVP, Product Manager (Trading Analytics), Technology Group

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ACQA is built on Microsoft Azure cloud computing technology. It aims to deliver:

• Scalable cost-efficient infrastructure, using cloud PaaS components.
• Single core platform, open architecture, designed for change, itemised $cost metrics, automated data lineage.
• Shared across Front Office, Finance and Risk, improving regulatory compliance.
• One-Platform / One-Experience -fast to train, easy to operate, retaining talent.

The ACQA platform is made up of a series of components providing the next generation valuation and risk management services.
Responsibilities:

• Collaborate with front office users to understand requirements and propose new solutions
• Develop analytics and optimization tools leveraging the capabilities of the ACQA platform
• Mastering complex business domains
• Collaborating within the high-performing, delivery-focused ACQA Business Solutions team
• Working closely with library quants and the risk engine team to deliver solutions that matter

Mandatory Skills:

• 7-8 years of working experience
• Strong academic background in a quantitative field (computer science, mathematics, physics, engineering, etc)
• Proficiency in functional & object-oriented programming, especially Python
• Experience in full stack development, including frontend webapps and backend services
• Strong analytical and problem-solving skills, you like to figure out how things work
• Strong written and verbal communication skills and the desire to work together with stakeholders
• Familiarity with Investment Banking, FinTech, or Financial Markets
• Ability to work independently in a fast-paced environment
• Software engineering background

Nice-to-Have Skills:
• Creating innovative analytics to solve business problems with statistics and ML
Languages:
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Information Technology
Industries IT Services and IT Consulting
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Python Developer (Singapore) – Elite Hedge Fund (up to $250K SGD + Bonus + Hybrid)
Full Stack Software Engineer (Python/ReactJS)
Project Intern, Digital Innovations & Solutions (Full Stack Developer)
Back-end Software Engineer (On-site 202506)
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We’re a world-leading smart mobility SaaS tech company with over 1.75 million active users. Our teams are collaborative, vibrant and fast-growing, and all team members are empowered with the freedom to influence our products and technology. 

Are you curious, innovative and passionate?

Do you take ownership, embrace challenges, and love problem-solving?  

Work with our Product and Customer Geniuses to understand key objectives so you can tackle unstructured business challenges with data. 

Contextualize data with your real-world understandings to identify what is important before building innovative solutions. 

Take complex findings and translate them into simple insights with practical solutions. You want to empower our customers by making it easier for them to understand how to improve their businesses.

Monitor the performance of all projects, discover areas for improvement and refine our strategy and solutions to ensure our products are continuously adding more value. 

Collaborate with our Database Wizards to optimize data models and enrich our business with automation where possible

Minimum of 3 years of experience in modelling, structuring, integrating and visualizing data

Strong SQL skills in traditional databases (e.g. PostgreSQL) and big data platforms (e.g. HiveQL)

Experience using embedded analytics applications, Sisense a plus

Experience working with JavaScript

Join to apply for the
Business Intelligence Analyst - SG Business Intelligence
role at
Shopee
Join to apply for the
Business Intelligence Analyst - SG Business Intelligence
role at
Shopee
Partner with business teams to provide insights to support data-driven decision making strategy
Lead cross-functional teams' data analytics projects
Provide solid technical supporting on automation and business projects
Translate complex business requests to executional technical tasks
Automate manual reporting process by VBA/python/SQL
Monitor and optimise reporting flow from back-end to front-end
Solve complex data projects by using variable algorithms
Provide training and coaching team members
Job Description
Partner with business teams to provide insights to support data-driven decision making strategy
Lead cross-functional teams' data analytics projects
Provide solid technical supporting on automation and business projects
Translate complex business requests to executional technical tasks
Automate manual reporting process by VBA/python/SQL
Monitor and optimise reporting flow from back-end to front-end
Solve complex data projects by using variable algorithms
Provide training and coaching team members
Requirements
Bachelor’s/Master Degree, preferably in data analytics, statistics, mathematics or any other quantitative discipline
3-7 years of experience in business intelligence, data analytics or any other related fields
Proven technical skills, python, SQL, VBA, Excel, Google Sheets, Tableau etc.
Experience in data analysis preferred
Able to pay attention to detail and rely on data
Able to story tell and transform numbers into key insights that drives business decisions
Able to communicate in a clear and succinct manner to stakeholders
Able to identify root causes and solve challenges
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Strategy/Planning, Analyst, and Consulting
Industries Internet Marketplace Platforms and Technology, Information and Internet
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Associate / Senior Associate - Insurance, BI&A - Business Intelligence Analyst
Join to apply for the
Associate / Senior Associate - Insurance, BI&A - Business Intelligence Analyst
role at
Monee .
About The Team
The Monee team enables and drives innovation by providing a range of financial products and services, including its mobile wallet, ShopeePay, to both individuals and SMEs. Its mission is to better the lives of individuals and businesses in the region with financial services through technology. Monee is a part of Sea Limited, a leading global consumer internet company. In addition to Monee, Sea’s other core businesses include leading e-commerce platform, Shopee, and digital entertainment arm, Garena.
Job Description
Drive business intelligence needs for seller e-commerce insurance business market expansion across multiple markets through data-driven insights and decision making to inform our short and long term business strategy.
Adopt and lead an evidence-based, data-driven approach towards end to end process and business analysis for the implementation of seller e-commerce insurance businesses across markets, including understanding and analysis of data sets from both Shopee and Monee domains.
Support in ad hoc crucial data-related business measures and initiatives essential to proper business functioning, and develop a long term strategy towards scaling such initiatives for a more automated and holistic solution.
Analyze financial impact to topline and bottomline from seller e-commerce insurance initiatives across multiple regional markets for ongoing business growth planning.
Drive regular business performance reporting for key management and financial reporting, and for data-driven actionable business decisions and initiatives to ongoing business optimization across both commercial and operational aspects.
Requirements
Bachelor’s degree and above in Computer Science/Engineering, Business Analytics, Information Technology, Statistics, or related fields.
Open to fresh graduates and candidates with up to 5 years of relevant experience.
Proficient in data and analytics related technical skills, including MySQL, Presto SQL, Python, and Spark.
Motivated by, and capable of, analyzing and driving solutions to complex problems around both e-commerce operations and insurance domains.
Deeply curious about ways to improve the topline and bottomline of Shopee business through insurance, by taking a data-driven approach in decision making, working closely with regional and local business teams.
Excited about, and have appreciation for, working with and managing multiple stakeholders in a project, including effective working methods with various regional and local teams across multiple Shopee markets.
Additional Information
Seniority level: Entry level
Employment type: Full-time
Job function: Sales and Business Development
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