378 Data Analytics jobs in Singapore
Data Analytics Instructor
Posted today
Job Viewed
Job Description
Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
We are currently looking for a lead instructor for our full-time (12 week) Data Analytics Bootcamp.
We are looking for instructors:
Our Data Analytics Bootcamp is a life-changing educational experience where our students learn the skills and mindsets to take on new careers as data analysts. We are looking for a lead instructor with experience cleaning, analyzing, and presenting data to stakeholders and clients.
This role is based in Singapore and is delivered in a hybrid (on campus and online) format, requiring instructors to reside in Singapore and have an eligible work permit or be a Singapore citizen or permanent resident. (We are not currently sponsoring employees.)
Why teach our Data Analytics Bootcamp?If you are looking to make a life-changing impact by sharing your love for data analytics with the next generation of analysts, we’d love for you to consider joining our team. We deliver more than just skills training, and are looking for teachers who share our vision for facilitating and mentoring a community of lifelong learners pursuing work that they love. As a teacher, you will join us to:
- Work closely with the instructional team (co-lead instructors, instructional associates, instructor manager) to guide students through a rigorous, transformational journey.
- Become a better leader, coach, and mentor as you learn from students, experienced instructors, and the larger General Assembly community.
- Inspire and support students as they identify their passions and drive their own continued learning beyond the curriculum; motivate students when they deal with classroom and personal challenges that become barriers to learning.
- Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time.
- Facilitate a safe, supportive, and energetic community that welcomes the various abilities, needs and learning styles of your students.
Through a combination of live instruction, supported study with independent work, unit projects (individual and team-based) and 1:1 support, we teach our learners how to turn messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, and PowerBI as the primary tools for analysis as well as provide learners with a foundation in Python programming to build predictive machine learning models.
The Data Analytics Bootcamp consists of nine units:
- Unit 1: Responsible data analytics
- Unit 2: Statistics and mathematics for data analysts
- Unit 3: Data analysis and interpretation with Excel and Power BI
- Unit 4: Data acquisition and cleaning with SQL
- Unit 5: Data analysis and communication with Tableau
- Unit 6: Data analysis with Python
- Unit 7: Data in the organization
- Unit 8: Capstone projects
- Unit 9: Career planning
Learning is assessed through four major projects (two independent projects, a team/group data sprint, and final course capstone) as well as nine labs. About 20% of the overall class time is dedicated to supporting learners’ project work.
Skills & Qualifications- You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
- You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
- You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python Programming.
- You have 4+ years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights.
- You are proficient in data analysis using Python's pandas library, with a solid understanding of data manipulation, cleaning, and aggregation.
- You are familiar with machine learning concepts and practical experience with supervised and unsupervised learning techniques.
- You have experience with web scraping tools and techniques (e.g., BeautifulSoup)
- You have experience mentoring, coaching, or training others in a professional or educational setting.
- Priority will be given to applicants with the Advanced Certificate in Learning and Performance (ACLP) /Advanced Certificate in Training and Assessment (ACTA), awarded by the Institute of Adult Learning Singapore.
- This role is based in Singapore and you must be authorized to work in Singapore. Please ensure you have the right to work in Singapore before applying.
- Teach 40 hours per week; currently classes on Monday through Thursday are on campus, with Fridays remote; we observe all public holidays in Singapore.
- Commit a few hours per week preparing lessons and materials, leveraging existing GA curriculum content.
- Work closely with co-instructors and/or teaching assistants to provide students with meaningful and prompt feedback on their progress, including assessment rubrics.
- Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
- Guide students through development of a stellar capstone project that will showcase their abilities to hiring managers.
- Facilitate a dynamic, collaborative, and positive classroom community.
- Inspire students to persevere through the challenges of learning a new skill set, as well as dealing with learning barriers along the way.
Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.
United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.
Posting date: 01-22-2025
#J-18808-LjbffrData Analytics Lead
Posted today
Job Viewed
Job Description
Data Science and Analytics · Singapore
Data Analytics LeadAbout 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.
- Department
- Data Science and Analytics
- Role
- Data Analyst
- Locations
- Singapore
- Employment type
- Full-time
- Brand
- Wego
Contact Ali Memar Talent Partner – People
Data Science and Analytics · Singapore
Data Analytics LeadAlready working at Wego?
Let’s recruit together and find your next colleague.
Data Analytics Engineer
Posted today
Job Viewed
Job Description
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
About The JobWe 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.
What You Will Be DoingKey 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
Data Analytics Lead
Posted today
Job Viewed
Job Description
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.
Data Analytics Instructor
Posted today
Job Viewed
Job Description
Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
We are currently looking for a lead instructor for our full-time (12 week) Data Analytics Bootcamp.
We are looking for instructors:Our Data Analytics Bootcamp is a life-changing educational experience where our students learn the skills and mindsets to take on new careers as data analysts. We are looking for a lead instructor with experience cleaning, analyzing, and presenting data to stakeholders and clients.
This role is based in Singapore and is delivered in a hybrid (on campus and online) format, requiring instructors to reside in Singapore and have an eligible work permit or be a Singapore citizen or permanent resident. (We are not currently sponsoring employees.)
Why teach our Data Analytics Bootcamp?If you are looking to make a life-changing impact by sharing your love for data analytics with the next generation of analysts, we’d love for you to consider joining our team. We deliver more than just skills training, and are looking for teachers who share our vision for facilitating and mentoring a community of lifelong learners pursuing work that they love. As a teacher, you will join us to:
- Work closely with the instructional team (co-lead instructors, instructional associates, instructor manager) to guide students through a rigorous, transformational journey.
- Become a better leader, coach, and mentor as you learn from students, experienced instructors, and the larger General Assembly community.
- Inspire and support students as they identify their passions and drive their own continued learning beyond the curriculum; motivate students when they deal with classroom and personal challenges that become barriers to learning.
- Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time.
- Facilitate a safe, supportive, and energetic community that welcomes the various abilities, needs and learning styles of your students.
Through a combination of live instruction, supported study with independent work, unit projects (individual and team-based) and 1:1 support, we teach our learners how to turn messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, and PowerBI as the primary tools for analysis as well as provide learners with a foundation in Python programming to build predictive machine learning models.
The Data Analytics Bootcamp consists of nine units:
- Unit 2: Statistics and mathematics for data analysts
- Unit 3: Data analysis and interpretation with Excel and Power BI
- Unit 4: Data acquisition and cleaning with SQL
- Unit 5: Data analysis and communication with Tableau
- Unit 6: Data analysis with Python
- Unit 7: Data in the organization
- Unit 8: Capstone projects
Learning is assessed through four major projects (two independent projects, a team/group data sprint, and final course capstone) as well as nine labs. About 20% of the overall class time is dedicated to supporting learners’ project work.
Skills & Qualifications- You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
- You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
- You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python Programming.
- You have 4+ years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights.
- You are proficient in data analysis using Python's pandas library, with a solid understanding of data manipulation, cleaning, and aggregation.
- You are familiar with machine learning concepts and practical experience with supervised and unsupervised learning techniques.
- You have experience with web scraping tools and techniques (e.g., BeautifulSoup)
- You have experience mentoring, coaching, or training others in a professional or educational setting.
- Priority will be given to applicants with the Advanced Certificate in Learning and Performance (ACLP) /Advanced Certificate in Training and Assessment (ACTA), awarded by the Institute of Adult Learning Singapore.
- This role is based in Singapore and you must be authorized to work in Singapore. Please ensure you have the right to work in Singapore before applying.
- Teach 40 hours per week; currently classes on Monday through Thursday are on campus, with Fridays remote; we observe all public holidays in Singapore.
- Commit a few hours per week preparing lessons and materials, leveraging existing GA curriculum content.
- Work closely with co-instructors and/or teaching assistants to provide students with meaningful and prompt feedback on their progress, including assessment rubrics.
- Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
- Guide students through development of a stellar capstone project that will showcase their abilities to hiring managers.
- Facilitate a dynamic, collaborative, and positive classroom community.
- Inspire students to persevere through the challenges of learning a new skill set, as well as dealing with learning barriers along the way.
Data Analytics Engineer
Posted today
Job Viewed
Job Description
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
- Design, develop, deploy, and maintain analytics solutions that allow internal business teams to make data-driven decisions
- Evaluate, adopt, integrate, and build on open-source and commercial analytics tools
- Work closely with end users, data scientists, data engineers, and project managers in the planning, development, and delivery of solutions
- Evaluate, maintain, and optimize code for accuracy, performance, maintainability, and scale of data queries, machine learning models, and data visualizations
- Recommend and evaluate technologies to introduce new analytics capabilities
What We Are Looking For
- Applicants with no experience may apply
- Self-motivated, open-minded, resourceful, and meticulous. Able to work independently and in teams.
- Ability to keep the overarching objectives of the project in mind while pursuing the technical details.
- 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.
- Familiarity with one or more database querying languages (e.g., SQL, Pig, Hive, SparkQL).
- 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.
Seniority level- Entry level
- Full-time
- Information Technology
- Government Administration and Industrial Machinery Manufacturing
Referrals increase your chances of interviewing at Internal Security Department by 2x
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#J-18808-LjbffrData Analytics Engineer
Posted today
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Job Description
Join to apply for the Data Analytics Engineer role at Singapore University of Social Sciences (SUSS)
Join to apply for the Data Analytics Engineer role at Singapore University of Social Sciences (SUSS)
Get AI-powered advice on this job and more exclusive features.
Who We Are
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.
Who We Are
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 The Job
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.
What You Will Be Doing
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.
- 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
- Seniority level Entry level
- Employment type Full-time
- Job function Information Technology
- Industries Higher Education
Referrals increase your chances of interviewing at Singapore University of Social Sciences (SUSS) by 2x
Sign in to set job alerts for “Data Engineer” roles. Junior Data Analyst - Business Intelligence, Regional Operations Internship, Technology (ML/Data Engineer) May/June - December 2025South East Community Development Council, Singapore 4 days ago
Information Technology - Data & Analytics Engineer Internship, Technology (Data Engineer) May/June to December 2025South East Community Development Council, Singapore 4 days ago
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Data Analytics Lead
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Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from Endowus
People Ops Associate | Human Capital ManagementAbout 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- Seniority level Associate
- Employment type Full-time
- Job function Analyst
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#J-18808-LjbffrData Analytics Lead
Posted today
Job Viewed
Job Description
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.
Data Analytics Lead
Posted today
Job Viewed
Job Description
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.