219 Data Analytics jobs in Singapore

About Wego:

We’re on a mission to help people discover the real value of travel — to inspire, to give more reasons, to make it easy — for you to go. Our company was founded back in 2005, and since then, we’ve imagined and created some of the most well-loved products for travelers all around the world.

Today, Wego is used by millions of people every month — people who travel for adventure, work, family, and for many other reasons. That’s why we work tirelessly to make your experience of planning & booking flights, hotels, and trips as seamless as possible.

The Role:
We are seeking an experienced and visionary Lead, Data Analytics to manage our Data Analytics team and oversee Wego’s data initiatives. You will be responsible for guiding a team of analysts, developing data strategies, and ensuring the smooth execution of data projects across the organization. This role will be instrumental in driving Wego’s data culture, fostering best practices, and aligning data activities with business goals.

What you will be working on:

You will lead and mentor a team of data analysts, develop and execute a data strategy, and oversee the design and maintenance of data infrastructure. Working cross-functionally, you will ensure data insights are integrated into various business strategies, and you will promote a data-driven culture that emphasizes data integrity, governance, and compliance.

Core Responsibilities:

• Team Leadership: Lead, mentor, and manage a team of data analysts, overseeing hiring, training, and performance management.
• Data Strategy Development: Develop and implement a data strategy that aligns with Wego’s business objectives.
• Data Infrastructure Management: Oversee the design, development, and maintenance of data infrastructure, ensuring data integrity and pipeline reliability.
• Data Visualization & BI: Utilize Looker and other BI tools to provide business intelligence and support decision-making.
• Cross-functional Collaboration: Work with product, commercial, finance, and marketing teams to integrate data insights into strategies.
• Data Governance & Compliance: Ensure adherence to data privacy regulations and best practices.
• Project Management: Lead data projects, managing timelines and ensuring alignment with business goals.
• Culture Building: Promote a data-driven culture within the organization, championing continuous improvement and best practices.

Skills and experience:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years in a leadership role within data analytics, engineering, or data science.
• Strong expertise in BI tools such as Looker, Tableau, or similar.
• Proven experience managing multifunctional teams and complex data projects.
• Proficiency with cloud architecture (e.g., AWS, BigQuery) and data pipeline management (e.g., Airflow).
• Advanced SQL skills and familiarity with Python preferred.
• Knowledge of data governance, data privacy, and compliance.
• Strong project management and prioritization skills.

Nice to haves:

• Experience in the travel industry or with app-based products.
• Expertise in stakeholder management and cross-functional collaboration.
• Background in building data-driven cultures within high-growth organizations.

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About us

Endowus is an award-winning independent fee-only wealth & fund platform. Licensed in Singapore (MAS 101051) and Hong Kong (SFC BQR225), Endowus is the first digital advisor in the region to span private wealth and public pension (CPF & SRS in Singapore). We proudly serve as a fund investment platform and fiduciary advisor to over 250,000 individuals, family offices, charities, endowments, and institutions.

Today, we work with 80+ global leading asset managers across major asset classes – public markets, private markets, hedge funds and alternatives – and make it our job to assess and access their Best-in-Class funds, and advise clients on how to invest in these funds to reach their goals.

Our mission is clear: help people invest better so they can live easier today, and better tomorrow.

The team has deep domain knowledge in finance and technology, bringing together decades of experience from various banks and tech companies. We treasure our diversity in background and experience, and we look for people who share these beliefs in our mission.

The Opportunity

Lead our transformation into a data-driven organization. You'll build analytics capabilities from the ground up while executing hands-on analysis that drives investment decisions, enhances client experiences, and scales our business. This is strategic leadership meets technical execution in a fast-growing fintech environment.

What You'll Do

• Develop data analytics vision aligned with business objectives

• Build and mentor high-performing analytics team as we scale

Execute Impact

• Perform complex analysis and modeling to extract actionable insights

• Create comprehensive dashboards and reporting solutions

• Optimize workflows and automate processes to improve efficiency

Enable Scale

• Partner across product, engineering, and business teams on data infrastructure

• Establish data governance frameworks and best practices

• Drive user behavior analysis and translate findings into business action

What You Bring

Technical Foundation

• Advanced SQL skills with distributed engines (AWS Athena, BigQuery, Spark SQL)

• Strong Python programming for data manipulation and analysis

• Statistical modeling, hypothesis testing, and machine learning experience

• Data visualization and dashboard creation expertise

Platform Experience

• Business Intelligence tools (Looker, QuickSight, Metabase)

• Cloud data platforms (AWS preferred, or Databricks, Snowflake)

Leadership Background

• 4 - 5 years in data analytics with demonstrated leadership experience

• Fintech, financial services, or wealth management experience will be advantageous

• Track record implementing analytics solutions in fast-paced environments

• Experience translating business requirements into technical solutions

Startup Mindset

• Thrives in ambiguous, rapidly evolving environments

• Takes ownership and drives projects to completion

• Natural curiosity and passion for continuous learning

Why Join Endowus

• Shape the data strategy of a rapidly scaling wealth tech firm

• Competitive salary and equity package

• Access to cutting-edge analytics tools and technologies

• High autonomy, real impact, and collaborative culture

Ready to transform how people build wealth through data? Let's talk.

Our Investors, recognition, licensing

Founded in 2017, Endowus has raised a total of over U$110 million in funding from investors including UBS, EDBI, Prosus Ventures, Lightspeed Venture Partners, Citi Ventures, MUFG Innovation Partners, Singtel Innov8, Samsung Ventures, SBVA, OSK Ventures, Z Venture Capital, and ACF - a joint venture between JLIN LLC and The Wells Investments. Endowus also has some of the largest billionaire family offices in Asia, as well as the founders and employees of Endowus.

Endowus continues to push the boundaries on innovation and democratising access, as it partners with 80+ global fund managers across public markets, private markets, hedge funds and alternatives to provide world-class solutions to its clients at a fair and transparent cost, delivered through Endowus’ fee-only business model. Endowus Private Wealth clients have access to a comprehensive range of expertly curated strategies in private markets and alternatives from firms such as EQT, Carlyle, Partners Group, KKR, Ares, Brookfield Oaktree, HarbourVest Partners, Millennium, Point72, Balyasny, Brevan Howard, Bridgewater, Schonfeld, Hudson Bay, LMR, AQR and more.

Endowus’ leadership and growth have been recognised by the industry and it has attained numerous awards including recognition on the inaugural Fortune FinTech Innovators Asia 2024 list, as the leading WealthTech provider amongst 60 brands across the region transforming finance. Other accolades include Singapore’s Best Digital Wealth Management (Asia Asset Management’s Best of the Best Awards 2024), Singapore’s Best Digital Upgrade for enhancements made on the Endowus app (The Asset Triple A Digital Awards 2024), Singapore’s Best Digital Wealth Management Experience (The Asset Triple A Digital Awards 2023), and Best Wealthtech Solution 2023 (Asian Private Banker 9th Technology Awards). Endowus is also among the firms named in the World Economic Forum’s Technology Pioneers 2023, LinkedIn Top Start-ups 2024 and Forbes’ “100 to Watch” list for 2022.

The Endowus Group comprises Endowus' licensed companies in Hong Kong and Singapore, as well as Hong Kong-based multi-family office Carret Private. Endowus Group serves over a hundred thousand clients with content, advice and access. With group assets of over US$ billion, it is one of the largest independent wealth managers in Asia. From a combination of providing 100% trailer fee rebates as direct cashback to clients, and fund fee savings from access to institutional share classes and exclusive funds, Endowus is estimated to help its clients save more than US 50 million in fees per year.

• Seniority level Associate

• Employment type Full-time

• Job function Analyst

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As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.

We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers.

Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.

For more information on Singapore University of Social Sciences, please visit

We are seeking a versatile and motivated individual to join our team as a Data Analytics Engineer (Entry Level). In this role, you will build and maintain scalable data pipelines, develop and deploy machine learning (ML) models, and support the university’s data-driven initiatives using tools such as Microsoft Fabric, Azure Machine Learning, and Power BI. In addition to data and ML development, you will also serve as an administrator of Microsoft Fabric, the university’s cloud analytics platform—ensuring efficient operations, governance, and user support. This position is ideal for individuals who enjoy working across the full data and ML lifecycle—from wrangling raw datasets to training models and supporting strategic decisions through analytics. You will be part of a collaborative, in-house data team addressing meaningful challenges in education and operations.

Key Responsibilities:

Data Engineering & Machine Learning Development

• Design, build, and maintain scalable data pipelines using Microsoft Fabric components (e.g., Data Pipelines, Dataflows) and PySpark.
• Ingest, clean, and transform data from diverse sources such as APIs, flat files, and databases.
• Operate within the Lakehouse architecture to ensure reliable, well-governed data delivery.

• Design, train, and evaluate models for classification, prediction, and segmentation use cases.
• Perform feature engineering, model tuning, and validation.
• Deploy models in collaboration with analytics specialists and contribute to building reusable ML feature stores.
• Ensure data quality, documentation, and lineage are maintained across workflows.

Microsoft Fabric Administration & Analytics Support

• Act as the primary administrator for Microsoft Fabric, overseeing workspace, capacity, and permission management.
• Monitor usage, performance, and cost metrics; troubleshoot and optimise resource allocation.
• Support onboarding of university teams to Microsoft Fabric and maintain security and compliance standards.
• Manage workspace hygiene, archival, and governance enforcement across all Fabric artefacts.
• Collaborate with the data warehouse team, analytics specialists, AI engineers, and domain users to deliver structured datasets and model outputs.
• Assist in building and refining Power BI datasets and dashboards for decision-making support.

• Possess a degree in Data Science, Business Analytics or related.
• Proficiency in SQL and Python, including libraries such as Pandas, Scikit-learn, and PySpark.
• Strong interest or hands-on experience in end-to-end ML development (from data prep to deployment).
• Familiarity with Microsoft Fabric components (e.g., Lakehouse, Data Pipelines, Dataflows).
• Exposure to Power BI or equivalent BI/visualisation tools.
• Microsoft Fabric certification (or willingness to obtain one).
• Exposure to Azure Machine Learning or similar ML model lifecycle platforms.
• Practical experience (via internships, coursework, or projects) in data engineering or ML model development.
• Understanding of higher education data or student analytics scenarios.
• Curious and self-driven with a growth mindset.
• Able to clearly explain technical concepts to both technical and non-technical audiences.
• Strong attention to detail and a methodical, structured approach to solving problems.

At SUSS, we advocate the Spirit of Learning and pride ourselves as lifelong learners. You will gain access to various learning platforms and plenty of development opportunities to support your growth in a meaningful career!

Besides that, you will also get:

• Competitive Pay Package
• Hybrid Work Arrangement (Subject to Job Role)
• Medical Benefits
• Flex Benefits
• Family Care Leaves
• Volunteer Service Leaves
• Wellness & Recreation Activities
• Lifelong Learning Opportunities
• Career Development Opportunities through Internal Job Postings and Transfers

Join to apply for the Data Analytics Engineer role at Internal Security Department

What The Role Is

ISD confronts and addresses threats to Singapore’s internal security and stability. For over 70 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD’s critical mission of keeping Singapore safe, secure, and sovereign for all Singaporeans.

We utilise state-of-the-art technology and technical know-how to safeguard Singapore’s security and sovereignty. We need highly motivated Data Analytics Engineers to design and build powerful data science and analytics tools required to conduct data mining and facilitate data-driven decision making.

Besides being passionate about data, analytics, and software engineering, candidates should also be driven by our mission to make Singapore a safer home, and enjoy working on challenging, diverse, and unique problem statements. You will be supported by a team of highly technical and collaborative colleagues with opportunities for advanced training, including leading overseas conferences and courses.

What You Will Be Working On

1. Design, develop, deploy, and maintain analytics solutions that allow internal business teams to make data-driven decisions
2. Evaluate, adopt, integrate, and build on open-source and commercial analytics tools
3. Work closely with end users, data scientists, data engineers, and project managers in the planning, development, and delivery of solutions
4. Evaluate, maintain, and optimize code for accuracy, performance, maintainability, and scale of data queries, machine learning models, and data visualizations
5. Recommend and evaluate technologies to introduce new analytics capabilities

What We Are Looking For

1. Applicants with no experience may apply
2. Self-motivated, open-minded, resourceful, and meticulous. Able to work independently and in teams.
3. Ability to keep the overarching objectives of the project in mind while pursuing the technical details.
4. Competent in at least one programming language (e.g., Python, Java, JavaScript, C/C++, C#, SAS, R, Scala). Interest and ability to gain expertise in other programming languages, frameworks, and technologies.
5. Familiarity with one or more database querying languages (e.g., SQL, Pig, Hive, SparkQL).
6. Knowledge and experience with any of the following would be an advantage:

• Machine learning (e.g., predictive analytics, natural language processing)
• Data analytics (e.g., descriptive statistics, modeling)
• Big data technologies (e.g., Hadoop, Spark, Hive, Impala, HBase, Elasticsearch)
• Web development (e.g., HTML, CSS, JavaScript, PHP, Python, Ruby on Rails)
• Data visualisation (e.g., UX/UI design, PowerBI, D3, Tableau)
• System administration (e.g., OS, networking, databases)
• Container technologies (e.g., Docker, Kubernetes)

We wish to inform you that only shortlisted candidates will be notified.

• Entry level

• Full-time

• Information Technology

• Government Administration and Industrial Machinery Manufacturing

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About Wego:

We’re on a mission to help people discover the real value of travel — to inspire, to give more reasons, to make it easy — for you to go. Our company was founded back in 2005, and since then, we’ve imagined and created some of the most well-loved products for travelers all around the world.

Today, Wego is used by millions of people every month — people who travel for adventure, work, family, and for many other reasons. That’s why we work tirelessly to make your experience of planning & booking flights, hotels, and trips as seamless as possible.

The Role:
We are seeking an experienced and visionary Lead, Data Analytics to manage our Data Analytics team and oversee Wego’s data initiatives. You will be responsible for guiding a team of analysts, developing data strategies, and ensuring the smooth execution of data projects across the organization. This role will be instrumental in driving Wego’s data culture, fostering best practices, and aligning data activities with business goals.

What you will be working on:

You will lead and mentor a team of data analysts, develop and execute a data strategy, and oversee the design and maintenance of data infrastructure. Working cross-functionally, you will ensure data insights are integrated into various business strategies, and you will promote a data-driven culture that emphasizes data integrity, governance, and compliance.

Core Responsibilities:

• Team Leadership: Lead, mentor, and manage a team of data analysts, overseeing hiring, training, and performance management.
• Data Strategy Development: Develop and implement a data strategy that aligns with Wego’s business objectives.
• Data Infrastructure Management: Oversee the design, development, and maintenance of data infrastructure, ensuring data integrity and pipeline reliability.
• Data Visualization & BI: Utilize Looker and other BI tools to provide business intelligence and support decision-making.
• Cross-functional Collaboration: Work with product, commercial, finance, and marketing teams to integrate data insights into strategies.
• Data Governance & Compliance: Ensure adherence to data privacy regulations and best practices.
• Project Management: Lead data projects, managing timelines and ensuring alignment with business goals.
• Culture Building: Promote a data-driven culture within the organization, championing continuous improvement and best practices.

Skills and experience:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years in a leadership role within data analytics, engineering, or data science.
• Strong expertise in BI tools such as Looker, Tableau, or similar.
• Proven experience managing multifunctional teams and complex data projects.
• Proficiency with cloud architecture (e.g., AWS, BigQuery) and data pipeline management (e.g., Airflow).
• Advanced SQL skills and familiarity with Python preferred.
• Knowledge of data governance, data privacy, and compliance.
• Strong project management and prioritization skills.

Nice to haves:

• Experience in the travel industry or with app-based products.
• Expertise in stakeholder management and cross-functional collaboration.
• Background in building data-driven cultures within high-growth organizations.

Join to apply for the Principal - Data Analytics role at Slalom

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Join to apply for the Principal - Data Analytics role at Slalom

As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.

Slalom Singapore is looking for a strategic leader to join its fast-growing Data & Analytics team. The responsibilities include business and practice development, relationship management, engagement delivery, and people management. The ideal candidate has proven experience and fluency in at least 2 of the following skill groups: data strategy, data science, data engineering, and/or data visualization.

• Serve as a senior subject matter expert in data & analytics for clients, engaging with and influencing executives through customer-focused solutions and value-driven delivery.
• Collaborate with other practice areas to develop collateral, including go-to-market offerings, marketing materials, and thought leadership based on key trends and use cases, either horizontal offerings (e.g., Data Strategy, Data Science operating model, Data Governance) or in specific business segments (e.g., Marketing Analytics, Sales Performance Management, Financial Analytics).
• Lead business development and project delivery in data engineering, data visualization, and data science to solve complex client problems and deliver actionable insights.
• Drive knowledge management locally and across markets to provide solutions to clients.
• Lead and mentor team members in data and analytics topics, creating growth plans for the team.
• Qualify and progress opportunities through the sales cycle, including leading solution discussions, designing proposals, and writing statements of work.

• 10+ years of experience in data engineering, data visualization, and/or data science.
• 6-8 years of experience in consulting, including technical solution sales.
• Proficiency with AWS, Microsoft Azure, or GCP with a focus on data and analytics.
• Strong marketing, customer analytics, logical thinking skills, and clarity of thought.
• Experience managing people and delivering engagement in a business services context.
• Experience with technologies such as Snowflake, Databricks, Matillion, DBT, Tableau CRM, Fivetran, Amperity, Segment is a plus.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Education and Training
• Industries: Business Consulting and Services

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Job Summary

We are seeking a highly skilled Data Analytics Expert to join our team. This is an exciting opportunity for a talented professional to play a key role in shaping our organization's digital future.

The successful candidate will be responsible for leading the implementation and delivery of our Central Audit Analytics Platform (CAAP). They will drive our digital vision by leveraging technology, automation, and data analytics to enhance auditors' efficiency and effectiveness.

About the Role

• This role involves developing architecture and key data pipelines for heterogenous datasets, ensuring solution architecture addresses business objectives and needs.
• You will design efficient solutions to meet initiative outcomes and work with technical teams to build secure data pipelines.
• Additionally, you will use data analytics for structured and unstructured data to identify patterns and anomalies and generate actionable insights to enhance risk and controls.
• You will also outline data lineage to trace sources of anomalies, apply quantitative analysis methods for business decisions, and leverage data team's expertise to solve critical technical problems.
• 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.

Requirements

• 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.
• Possess passion for delivering value and driving successful outcomes for the organization.

What We Offer

As a valued member of our team, you can expect to benefit from our commitment to innovation, collaboration, and growth. If you are a motivated individual with a passion for data analytics, we encourage you to apply for this exciting opportunity.

• Translate customer pain-points into problem statements, develop analytics solutions, and present results and learnings to both technical and non-technical audiences in an engaging manner
• Build and maintain data queries as well as data pipelines through tools such as SQL
• Build sophisticated dashboards and automated reports for core business metrics and performance trends using visualization tools such as Tableau
• Work closely with project manager and technical leads, and deliver work in a waterfall or agile software development lifecycle methodologies

• University Degree in Computer science, IT or any other equivalent
• 1-2 years of relevant working experience
• Data pipeline, relational database development experience
• Experienced in SQL query and any database procedure, function development
• Experience windows environment, Unix environment
• Data visualization tool (Tableau, PowerBI, Grafana)
• SQL knowledge
• Data Reporting tool (eg. Crystal report)
• Programming or scripting language (eg. Python, powershell)
• Good communication and project management skill

• Diploma in Computer Science, AI, Data Analytics, or related disciplines required.
• No prior experience needed - training will be provided.
• Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Qlik)
• Familiarity with Windows and UNIX operating systems, networking, and system administration.
• Ability to work independently and as part of a team.
• Willingness to travel to sites and perform off-site standby duties.

• Experience with statistical packages, ETL tools, and scripting languages.
• Knowledge of AI model development and implementation.
• Class 3 driving license is a plus.