451 Data Analytics jobs in Singapore

Company Description

THE CONTEXT ___

Since 1947, the men and women of Parfums Christian Dior have embodied the founding "couturier-perfumer's" unique spirit of excellence, creativity and expertise, both in France and throughout the world. Our House is an open and highly-focused collective, a leader that thrives on the creativity of all its stakeholders. Our collective passion and our heritage, full of authenticity and dream, make us move forward and reinvent ourselves.

By revolutionizing the codes of French style and luxury through perfumes, and combining tradition with daring makeup and innovative skincare, we are reinventing every day the Dior style and its compelling, joyful and absolute beauty. Our stimulating missions give our employees the opportunity to develop new skills, overcome spectacular challenges and reveal their talent.

To go further, with Dior.

Job Description

YOUR MISSION ___

As a Data Analytics & Project Management (AI) Intern, you will play a pivotal role in optimizing data workflows, automating reporting processes, and leveraging AI to drive business insights. You will gain hands-on experience in data visualization (Power BI), AI model development, and cross-functional collaboration within the luxury beauty retail sector.

Data Management & Reporting

• Coordinate and consolidate data for weekly/monthly sell-out and inventory reporting and provide data clarity to the team
• Manage Salesforce data uploading and govern the data to ensure data accuracy, consistency, and timeliness
• Assist in designing and overseeing the automation of traffic data to streamline the ETL process, ensuring seamless integration from raw data collection to report deployment

OPERATION & PROCESSES

• Seek improvement in data and business processes to optimize workflows, improve operational efficiency, and boost productivity within the team and the organization
• Daily cost tracking and coordination through regular communication within the team, ensuring cost-to-date is in line with Finance's data
• Create and maintain all project and processes documentation especially in data management

MARKET INTELLIGENCE DASHBOARD

• End-to-end design and implementation of market intelligence dashboard and the associated data pipelines
• Maintain data repositories to ensure accuracy, integrity and accessibility

AI ADOPTION & MODEL DEVELOPMENT

• Identify opportunities to integrate generative AI tools for operational efficiency
• Propose innovative ideas to enhance workflows using AI and automation
• Develop and deploy AI/ML models (e.g., demand forecasting, inventory optimization)
• Validate model performance and refine algorithms based on business needs

TEAM UPSKILLING & TOOL ADOPTION

• Assist in providing training to office and/or retail population on:
• Excel (Power Pivot, advanced formulas, error tracking)
• Power BI dashboards visuals
• AI tools (generative AI for automation scripts, slides creation and idea generation)

Qualifications

WHO YOU ARE ___

• Bachelor's or Master's in Artificial Intelligence, Data Science, Business Analytics, or related field
• Able to commit full time internship from Jan 26 to Jun 26
• Proficiency in Python/R, SQL, and data visualization tools (Power BI, Tableau)
• Familiarity with AI/ML frameworks
• AI-related experience or interest
• Strong communication and stakeholder collaboration skills
• Independent, forward thinking, motivated individual with problem-solving attitude and team player
• Enjoys numbers, data analysis, report writing and improving workflow processes
• Attention to detail as reporting figures must be precise

WHAT CAN WE OFFER? ___

• Innovative Work Environment: Design and implement custom data models, workflows, and AI-driven solutions without rigid templates.
• Retail Industry Exposure: Opportunity to visit shop floors, collaborate with retail teams, and gain firsthand insights into luxury beauty market dynamics.
• Professional Growth: Develop technical expertise in AI, data automation, and business intelligence while expanding your professional network.
• A challenging role in a fast moving, ambitious environment, with daily learning opportunities and passionate team members.
• Beyond this role, your development is a pillar of our ambition. Parfums Christian Dior, as part of LVMH, offers a Career perspective with a worldwide presence and continuous growth within 75 distinguished Houses.

So, How Far Will You Take Dior?

Job description:

Position Summary

We are seeking a detail-oriented and analytically strong Data Analytics professional to support the development, implementation and enhancement of enterprise-wide AML/ CFT and Sanctions programs. This role will working cross-functionally to provide datadriven insights that help detect, prevent, and mitigate financial crime risks.

Key Responsibilities

• Develop, maintain, and optimize data analytics frameworks to monitor AML/CFT, Sanctions Surveillance programs
• Analyse large datasets from internal systems to identify suspicious patterns, transaction anomalies, and emerging threats
• Design and execute queries, dashboards, and reports to support ongoing surveillance and investigations
• Assist in developing rule-based and risk-based scenarios for transaction monitoring and screening
• Provide inputs and support to strengthen the AML/CFT and Sanctions transaction monitoring and procedures
• Produce clear and actionable reports to support compliance decisions, regulatory reporting and audits
• Ensure proper documentation and record keeping of reviews and investigation cases in accordance to Group standards
• Maintain up-to-date knowledge of regulatory expectations and ensure compliance framework aligns accordingly

Requirements

Education and Experience

• Bachelor's degree in Data Science, Statistics, Finance, Computer Science, Business Administration, or a related discipline
• Minimum 2 years of relevant working experience in financial crime/AML/Compliance

Skills and Knowledge

• Must have working knowledge of transaction monitoring systems and AML tools
• Experience in financial institutions, law enforcement, intelligence/analysis, or regulatory environment is preferred
• Strong analytical and problem-solving abilities with a strategic, data-driven mindset
• Must be well-organized, have the ability to work under tight deadlines, make decisions, work well as part of a team and independently
• Proven ability to engage, collaborate, influence and negotiate with key senior stakeholders
• Excellent problem-solving skills, ability to prioritise and manage multiple tasks assigned
• Strong team player with track record of working well in a collaborative environment with strong stakeholder management and communication skills
• Strong in documentation and report writing skills
• Self-driven with the ability to work independently

Company Description

THE CONTEXT ___

Since 1947, the men and women of Parfums Christian Dior have embodied the founding "couturier-perfumer's" unique spirit of excellence, creativity and expertise, both in France and throughout the world. Our House is an open and highly-focused collective, a leader that thrives on the creativity of all its stakeholders. Our collective passion and our heritage, full of authenticity and dream, make us move forward and reinvent ourselves.

By revolutionizing the codes of French style and luxury through perfumes, and combining tradition with daring makeup and innovative skincare, we are reinventing every day the Dior style and its compelling, joyful and absolute beauty. Our stimulating missions give our employees the opportunity to develop new skills, overcome spectacular challenges and reveal their talent.

To go further, with Dior.

Job Description

YOUR MISSION ___

As a Data Analytics & Project Management (AI) Intern, you will play a pivotal role in optimizing data workflows, automating reporting processes, and leveraging AI to drive business insights. You will gain hands-on experience in data visualization (Power BI), AI model development, and cross-functional collaboration within the luxury beauty retail sector.

Data Management & Reporting

• Coordinate and consolidate data for weekly/monthly sell-out and inventory reporting and provide data clarity to the team

• Manage Salesforce data uploading and govern the data to ensure data accuracy, consistency, and timeliness

• Assist in designing and overseeing the automation of traffic data to streamline the ETL process, ensuring seamless integration from raw data collection to report deployment

OPERATION & PROCESSES

• Seek improvement in data and business processes to optimize workflows, improve operational efficiency, and boost productivity within the team and the organization

• Daily cost tracking and coordination through regular communication within the team, ensuring cost-to-date is in line with Finance's data

• Create and maintain all project and processes documentation especially in data management

MARKET INTELLIGENCE DASHBOARD

• End-to-end design and implementation of market intelligence dashboard and the associated data pipelines

• Maintain data repositories to ensure accuracy, integrity and accessibility

AI ADOPTION & MODEL DEVELOPMENT

• Identify opportunities to integrate generative AI tools for operational efficiency

• Propose innovative ideas to enhance workflows using AI and automation

• Develop and deploy AI/ML models (e.g., demand forecasting, inventory optimization)

• Validate model performance and refine algorithms based on business needs

TEAM UPSKILLING & TOOL ADOPTION

• Assist in providing training to office and/or retail population on:

• Excel (Power Pivot, advanced formulas, error tracking)

• Power BI dashboards visuals

• AI tools (generative AI for automation scripts, slides creation and idea generation)

Qualifications

WHO YOU ARE ___

• Bachelor's or Master's in Artificial Intelligence, Data Science, Business Analytics, or related field

• Able to commit full time internship from Jan 26 to Jun 26

• Proficiency in Python/R, SQL, and data visualization tools (Power BI, Tableau)

• Familiarity with AI/ML frameworks

• AI-related experience or interest

• Strong communication and stakeholder collaboration skills

• Independent, forward thinking, motivated individual with problem-solving attitude and team player

• Enjoys numbers, data analysis, report writing and improving workflow processes

• Attention to detail as reporting figures must be precise

WHAT CAN WE OFFER? ___

• Innovative Work Environment: Design and implement custom data models, workflows, and AI-driven solutions without rigid templates.

• Retail Industry Exposure: Opportunity to visit shop floors, collaborate with retail teams, and gain firsthand insights into luxury beauty market dynamics.

• Professional Growth: Develop technical expertise in AI, data automation, and business intelligence while expanding your professional network.

• A challenging role in a fast moving, ambitious environment, with daily learning opportunities and passionate team members.

• Beyond this role, your development is a pillar of our ambition. Parfums Christian Dior, as part of LVMH, offers a Career perspective with a worldwide presence and continuous growth within 75 distinguished Houses.

So, How Far Will You Take Dior?

Christian Dior described himself as a fashion and perfume designer. The House of Dior, founded in 1946, changed the face of ladies' style forever when its New Look was unveiled in the halls of 30 Avenue Montaigne on February 12, 1947. The revolutionary look was accompanied by a fragrance, Miss Dior, the finishing touch designed to "leave a trail of desire in a woman's wake". This timeless perfume was the first fragrance created by a visionary brand which invented the concept of global beauty with its Rouge Dior and subsequent cosmetic lines.

The current-day trustees of this legendary expertise – Francis Kurkdjian, Perfume Creation Director, and Peter Philips, Creative and Image Director for Dior Makeup – are the heirs to Christian Dior's perfectionism. The worldwide renown of the House's creations is partly down to its seductive muses, including Charlize Theron, Natalie Portman and Robert Pattinson.

Employment Type : Contract

Working Hours : Monday to Friday, 8.30am – 5.30pm (Hybrid)

Location : One North

Salary : Up to $9,000

• Create non-standard custom reports by integrating data from ERP and other enterprise systems using cloud-native analytics platforms, and deliver these reports to end users or downstream systems.
• Create dashboards, reports, and visualizations to communicate insights effectively and support decision-making.
• Work with business users and technical/data engineering teams to enhance the enterprise analytics platform, tools, and reusable assets.
• Track, validate, and improve the performance of analytical solutions delivered.
• Support the Product Owner by working within an Agile product team, contributing to the full product development lifecycle from conceptualization to delivery of analytics solutions.
• Collaborate with business stakeholders to design and deliver end-to-end analytics solutions, including problem/use case formulation, data preparation, proof-of-concept, and deployment into production.
• Provide operational support and maintenance for the data and analytics infrastructure platform.
• Curate, develop, and deliver training sessions or workshops to build analytics knowledge and skills across the organization.
• Perform other related duties to support departmental or organizational goals as required.

• Bachelor’s degree in Computer Science/Engineering, Information Technology, Business Analytics, Data Science, Artificial Intelligence, or related discipline; relevant technical certifications are an advantage.
• Minimum 10 years of experience in designing and delivering advanced analytics or data science solutions to address business challenges.
• Proficiency in SQL, R/Python, and advanced analytics and visualization tools such asTableau and Power BI.
• Strong familiarity with analytics and/or machine learning platforms, including how they integrate with upstream and downstream data and production systems.
• Good to have experience with ERP and enterprise systems such asSAP S/4HANA, Ariba, SAP Analytics Cloud.
• Familiarity with cloud-native data and analytics platforms such as Azure Data Factory, Snowflake, Databricks.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.
• All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Wong Siew Ting (Maeve) - R

ScienTec Consulting Pte Ltd - 11C5781

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.

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.)

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.

• 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:

Attorney-General's Chambers

Contract

Closing in 6 day(s)

What the role is

The Legal Operations Group (LOG) is seeking an outstanding and driven candidate with a keen interest in the use of data analytics to drive informed decisions- and policy-making.

What you will be working on

Responsibilities:

• Assist in enhancing the current system to collate comprehensive and reliable data across the whole of AGC on its workload, performance measures, and resource allocation and utilisation.

• Monitor, track and measure the effectiveness of Key Performance Indicators (KPIs) and work with business units to ensure the provision of timely and reliable statistical reports to management.

• Provide analytical data support for the preparation of papers and research projects that will enable the organisation to manage or deal with its work more effectively or efficiently.

• Develop an in-depth understanding of the business processes across the various divisions, collaborate with business users to extract actionable insights from data and processes and develop data-driven & optimise solutions to meet their needs.

• Manage analytical projects in cross functional teams, assisting departments to improve data capabilities through the development of tools/reporting format aligned to their core focus and priorities.

• Manage data analysis and visualisation projects and present analytical insights to business users and stakeholders.

• Support corporate projects, e.g. Business Process Re-engineering Projects, by contributing to data collection, analysis and simulation models.

• Any other duties as assigned by the supervisors.
The ideal candidate will have the following additional attributes:

• A good understanding of data governance and the controls meant to address or mitigate risks and enable the adoption of and compliance with various policies and standards.

• Assist in engaging stakeholders within AGC and the government to improve data processes across the data lifecycle.

• Support the development and implementation of strategies, standards, procedures and documentation on data governance, architecture, protection, sharing, and storage, including collaboration with stakeholders to develop and strengthen staff competencies and capabilities in data management.

• Assist with data request evaluations and processes, including personal data protection impact assessments, data security risk assessments and resolving ad hoc stakeholder queries on data governance issues.

• Perform secretariat support duties for meetings chaired by the Chief Data Officer and assist, as required, in data-related initiatives.

What we are looking for

Requirements:

• Quantitative discipline: Mathematics, Statistics, Business Studies, Operations research/Decision Science, Information Security/Technology, Computer Science, Compliance or related disciplines.

• Strong analytical and quantitative skills with experience in research and statistics-related work, preferably in a data processing role.

• Experience with handling data (merging data and data transformation), using visualisation tools such as Tableau, and proficiency in programming language such as R, SAS, VBA, SQL are required. Candidates may be asked to complete a test or an assignment as part of our evaluation.

• Familiarity or experience with legal industry processes will be an advantage.

• Experience in data governance, personal data protection is a bonus.

• Excellent communication skills, both written and spoken.

• Able to work well both independently and as part of a team.

• Able to work with and rally different stakeholders to achieve targeted outcomes.

• Good interpersonal skills.

• Candidates who have the relevant discipline but without experience are welcomed to .
Our Commitment to You
The AGC offers a salary commensurate with your experience and qualifications, Annual Variable bonuses, performance bonuses and annual increments based on merit. We invest in our officers and support their career aspirations so that they can reach their fullest potential. We also place great importance on our officers' physical and mental well-being through work-life harmony programmes.
Successful candidates will be appointed on a contract basis in the first instance.
All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.
Should you encounter difficulty in ing for this role, please email us directly at before the closing date of this job posting. Kindly attach your resume and indicate this position you are keen on in the email subject.

About Attorney-General's Chambers

The Attorney-General's Chambers plays a pivotal role in enhancing the rule of law and strengthening the efficiency and integrity of Singapore's legal system. It also assists the Judiciary in the fair and impartial administration of justice in Singapore in carrying out its prosecutorial functions.
As the Government's legal adviser in all aspects of public administration law, criminal law, international law and legislation, AGC is able to provide a vast array of legal expertise for the good governance of Singapore.
We invite interested applicants who meet our requirements to submit your applications online. The successful applicant can look forward to a greatly satisfying career in a prestigious and respected Organ of State: the Attorney-General's Chambers.

About your application process

This job is closing in 6 day(s).

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Attorney-General's Chambers or the wider Public Service.

Location: Central Area

1-year

We are looking for a motivated individual to support our analytics team in building and maintaining data solutions. You will work closely with senior data engineers, data scientists, and stakeholders to ensure reliable data pipelines, efficient data processing, and user-friendly dashboards that support business decision-making. This role offers hands-on exposure to data engineering fundamentals while contributing to real analytics projects.

Jobs Responsibilities:

• Assist in managing data-related projects, ensuring deliverables meet objectives and timelines.
• Collaborate with cross-functional teams (data scientists, engineers, product managers, analysts) to design and deploy data solutions.
• Develop, monitor, and maintain data pipelines and data quality metrics.
• Prepare, process, and cleanse data for analytics and reporting purposes.
• Support data migration activities, including validation and quality checks.
• Participate in testing, troubleshooting, and enhancing data solutions.
• Build and improve dashboards and visualisations to enable data-driven decisions.

Requirements:

• Singaporean Only
• Minimum Degree in Computer Science, Informatics / Information Systems, Data Analytics, Statistics, Applied Mathematics or its related discipline.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec's Privacy Policy ).

This authorizes us to:

Contact you about potential opportunities.

Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Ho Kah Yeow | R

ScienTec Consulting Pte Ltd | 11C5781

Company

SGInnovate Pte Ltd

Designation

Intern, Data Analytics

Date Listed

16 Jul 2025

Job Type

Entry Level / Junior Executive

Intern/TS

Job Period

From Aug 2025, For At Least 6 Months

Profession

Risk / Product / Project Management

Industry

Finance

Location Name

Singapore

Work from Home

Allowance / Remuneration

$1,100 monthly

Company Profile

About SGInnovate

SGInnovate is a Deep Tech ecosystem builder and investor, backed by the Singapore Government. Our expertise and approach combines investments, talent development and community-building to catalyse the translation of emerging technologies into tomorrow's opportunities. Through our flagship Deep Tech Central platform, we connect individuals, founders and companies to specialised resources and opportunities across all technological domains and stages of growth. Our portfolio of emerging tech startups comprises some of the most promising companies leading the commercialisation of research developed from Singapore's RIE ecosystem. Connect with us at Opportunities are available for students who can join us immediately.

Job Description

Overview

The DSA team is responsible for the digital transformation of SGInnovate. Be part of this exciting and pivotal effort to bring about positive and impactful changes to the organisation and the wider Deep Tech startup ecosystem. The team drives and oversees progress on two fronts: (1) key digital product transformation projects and (2) data & analytics asset development. Key digital products will impact both internal and external stakeholders by optimising the platform through which we conduct our business. Data & analytics asset development entails building the data pipeline from source to data warehouse, before finally delivering insights to end user via dashboards.

If the prospect of orchestrating strategical changes that are instrumental to the growth of SGInnovate and our key sector excites you, look no further and grow your career with us today

Responsibilities

The role of a Data & Analytics Intern primarily looks at developing end-to-end data assets to deliver information and insights to internal stakeholders readily. Strategically, the role also has a part to play in shaping and defining the data collected upstream in the transactional systems through the management of key digital transformation projects. He/she will report to the Data & Analytics Lead.

Typical tasks and responsibilities include:

• Design and develop strategic methods for data collection and analysis
• Develop and maintain data pipelines to ingest data from source to data warehouse before transforming it for downstream analytics or reporting purposes
• Develop and maintain data visualisation dashboards based on user requirements
• Uncover descriptive and predictive insights when working with the various internal teams
• Understand the data assets available throughout the overall technical architecture and make recommendations on the management of data
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Follow and adopt industry standards and agile development practices to accommodate rapid customer-driven specification changes.
• Manage digital transformation projects and work with external vendors to ensure the seamless collection and delivery of data

You may be a good fit if you possess:

i. Tangible:

• Interest in project and stakeholder management (e.g. Agile, waterfall, etc)
• Strong passion for data & analytics with knowledge and/or experience for:
• Data visualisation tools (e.g. Tableau, PowerBI, Qlik, etc)
• Data transformation via coding or tools (e.g. SQL, Python, VBA, R and/or Talend, Informatica, Alteryx, AWS glue, etc)
• The management of databases (e.g. PostgreSQL, MSSQL, etc)
• Commercial cloud managed services (e.g. AWS – EC2/S3/etc, GCP, etc)
• Automation/workflow tools (e.g. RPA, PowerAutomate, etc)
• Analytical techniques such as machine learning, text mining, web scraping, natural language processing, etc
• Data Governance, Metadata Management

ii. Intangible:

• Excellent interpersonal, communication and project management skills
• Team player and ability to collaborate with and manage stakeholders across different teams
• Ability to host and drive discussion with multiple stakeholders
• Independent and resourceful problem solver
• Meticulous, structured, and methodical
• Able to manage and excel in ambiguity to create structure from almost nothing

Application Instructions

If the above sounds like you and your dream job, send us your CV at and let's do a coffee chat.

We regret that only shortlisted candidates will be notified. By submitting an application or your resume to us, you are consenting to the collection and use of the submitted personally identifiable data. We collect and use personal data (e.g. name, address, telephone number and email address) submitted by you for evaluating job applications, processing information requests, and internal record-keeping of our communications with you. Further information on our Data Protection & Privacy Policy can be found at

Apply for this position

Data Analytics Intern (6 months)

Job ID

Posted

25-Sep-2025

Service line

Advisory Segment

Role type

Full-time

Areas of Interest

Data & Analytics, Research

Location(s)

Singapore - Singapore

About the role

We are looking for a motivated Data Analytics Intern for a six month internship starting in January 2026. This role offers hands-on exposure to analytics in the Real Estate sector and is ideal for someone who is curious about data.

As an intern, you will gain valuable insight into how data is used across all parts of the business to inform strategy, drive growth, and deliver better outcomes. This is an excellent opportunity for someone seeking a career in Data Analytics and to understand the impact of data-driven decision on business success.

Please note that shortlisted candidates will be required to complete a screening test onsite to help us understand your current level of competency and identify areas where you can further develop your skills during the internship.

What you'll do

• Support the Analytics Director and Manager with their daily analytics tasks and ongoing projects
• Assist in data validation and maintaining dashboards and analytics reports (e.g., using Power BI or Excel)
• Support ETL tasks to ensure high data quality
• Helps automate basic reporting workflows with guidance
  Learn to integrate data from multiple sources (ie. Using PowerQuery, Snowflake, Python, and other tools)

What you'll need

• Currently pursuing or recently completed a degree in a relevant field (e.g., Data Analytics, Business, Statistics, Computer Science, or related)
• Strong interest in data analytics and willingness to learn new tools and techniques
• Familiarity with Excel; exposure to Power BI, SQL, Python, Snowflake is a plus but not required

Why CBRE

When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values — respect, integrity, service and excellence — and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants.

Applicant AI Use Disclosure

We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.