286 Data Analytics jobs in Singapore

Job Description:

In Schneider Electric, everything we do is geared towards advancing progress and sustainability for all—our colleagues, customers, partners, and the communities and societies we serve.

Whether it's through our products, software, and services that propel the digital transformation of energy management and automation, or through our corporate citizenship and volunteer activities, we make a meaningful impact by empowering people and organizations to become more resilient, electric, and digital.

Which is where you come in. Working at Schneider Electric means working toward a cleaner, better world. You are part of a global team built on inclusion, mastery, purpose, action, curiosity, and teamwork, turning sustainability ambitions into actions.

We are now hiring interns for our H1 2026 cohort Internships will start in 2 batches: January 2026 or February 2026. Please indicate your exact availability in your application. Students who can commit full-time will be preferred.

Join us as a Data Analytics (Sales) Intern to make an impact

Location: Kallang

The Role:

What will you do?

• Assist in collecting, cleaning, and analyzing large datasets from various sources
• Develop dashboards and reports using tools such as Excel, Power BI, or Tableau
• Support the team in identifying trends, patterns, and insights to inform strategic decisions

• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights

• Document processes and findings to ensure reproducibility and clarity

• Participate in team meetings and contribute to brainstorming sessions

Qualifications:

What qualifications will make you successful?

• Bachelor's in Data Science, Statistics, Computer Science, Business Analytics or related
• Strong analytical and problem-solving skills
• Proficiency in Excel and familiarity with data visualization tools (e.g., Power BI, Tableau)
• Basic knowledge of SQL and/or Python is a plus
• Excellent communication and presentation skills
• Ability to work independently and as part of a team

What's in it for me?

• Global Family Leave
• Comprehensive medical coverage for employee and dependents
• Worldwide Employee Stock Ownership
• Hybrid work arrangement (New Ways of Working)
• …and more

About Our Company:

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today

€36 billion global revenue

+13% organic growth

employees in 100+ countries

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

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?

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.

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

Referrals increase your chances of interviewing at Internal Security Department by 2x

Get notified about new Data Engineer jobs in Singapore, Singapore .

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.

Job Description:

Rakuten International oversees 7 businesses with over 4,000 employees globally. The brand is recognized for its leadership and innovation in e-commerce, digital content, advertising, entertainment and communications, bringing the joy of discovery and access to more than 1 billion members across the world. Our teams deliver on the company's mission to delight merchants and customers through innovation, optimism, and teamwork.

Rakuten Viki is a global entertainment streaming platform that specializes in Asian content. Our platform enables millions of viewers to discover and enjoy primetime shows and movies, subtitled in over 150 languages. Headquartered in San Mateo, California, we also have offices in Singapore, Seoul, and Shanghai, ensuring a strong global presence and a deep connection to the heart of Asian entertainment. Our platform is home to a large and loyal community of fans who share a passion for Asian culture and entertainment. Join us in our mission to bridge cultures and connect the world to Asian entertainment. At Rakuten Viki, we offer a chance to be part of a global community that celebrates culture, creativity, and connection.

At Rakuten Viki, our engineering teams utilize leading-edge technologies to build a world class product.

We are seeking a smart and hard-working Data Analyst intern for our Data Analytics Team. At Viki, we handle terabytes of data to help us understand our users and learn about content trends. Our team is first and foremost responsible for collecting, processing and organizing these large amounts of data using advanced and scalable techniques. They then analyze these complex datasets to generate deeper insights and help various teams at Viki effectively utilize it for crucial decision making.

You will join a diverse and talented team with great ambitions to change the digital entertainment landscape. If you are inspired to take up new challenges and learn what it takes to be a great Data Analyst, come be a part of our Rakuten Viki team in Singapore.

Key Responsibilities Include:

• Create and maintain reports and dashboards to help generate insights for Product and Growth teams as well as track key performance indicators (KPIs) and metrics.
• Conduct analysis to identify trends, patterns, and anomalies
• Support the Analytics team in developing and implementing testing strategies to ensure the accuracy and reliability of our data
• Analyse results of A/B tests and data collected from experiments
• Work with engineers to ensure that data collection has been correctly implemented
• Collaborate with Product Managers to analyse performance of new features and help with research for upcoming features

Requirements:

• Pursuing BSC/MSC in Statistics, Business Analytics, Data Science, Computer Science, or a related discipline
• Outstanding analytical skills and attention to detail
• Proficient in writing complex SQL queries
• Deep understanding of the usage and interpretation of statistical methods
• Familiar with data visualization tools such as Tableau, Looker, and Qlikview
• Proficiency in Python programming language is a plus

Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.

Five Principles for Success

Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.

Always improve, Always Advance - Only be satisfied with complete success - Kaizen

Passionately Professional - Take an uncompromising approach to your work and be determined to be the best

Hypothesize - Practice - Validate – Shikumika - Use the Rakuten Cycle to succeed in unknown territory

Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile

Speed Speed Speed - Always be conscious of time - take charge, set clear goals, and engage your team

Ministry of Trade and Industry

Permanent/Contract

What the role is

The Economist Service is the premier service for economists in the Singapore public sector. By developing a core group of professional economists, the objective of the Economist Service is to sharpen economic analysis in the public sector in order to improve public policies.
Economists in the Economist Service undertake economic research and analysis in many Ministries and agencies across the public sector. These include the Ministry of Trade and Industry, Ministry of Finance, Ministry of Manpower, Ministry of Social and Family Development, Ministry of Health, and Ministry of Sustainability and the Environment. Through postings to diverse Ministries and agencies, the economists contribute their expertise to inform a wide range of public policies, from economic policies to fiscal, socio-economic, health, security and infrastructural policies.

What you will be working on

You will be part of a team of economists who techniques in econometrics, data science and Artificial Intelligence on novel and big datasets in order to address policy questions. Specifically, you will work on data analytics projects covering areas such as trade and internationalisation, labour market and digitalisation, with the objective of extracting data-driven insights to improve policy outcomes and policy formulation.
You will also help to enhance economic surveillance capabilities in the Ministry of Trade and Industry through the use of real-time and high-frequency data, as well as predictive modelling. In addition, you will make use of text analytics to actively identify emerging topics from various media sources to be studied by the Economics Division.
To effectively engage various stakeholders, you will be required to communicate the insights and findings from your projects in accessible, visual forms such as dashboards.

What we are looking for

* Degree / Masters / PhD in Economics and other quantitative disciplines such as Statistics, Applied Mathematics, Computer Science, Data Analytics, Engineering, or related disciplines.
* Strong passion for empirical research and extensive experience in solving complex problems using quantitative approaches.
* Strong quantitative skills (e.g., econometrics and data science) for forecasting, policy modelling and simulations, as well as impact evaluation studies.
* Experience working with large real-time datasets.
* Excellent communication skills and the ability to express complex ideas simply and logically.
* Proficiency with statistical/programming software (e.g., STATA, R, Python) and relevant visualisation techniques (e.g., Tableau).

About Ministry of Trade and Industry

The Ministry of Trade and Industry (MTI) seeks to transform Singapore into a leading global city of talent, enterprise and innovation. Our mission is to promote economic growth and create good jobs to enable Singaporeans to improve their lives. In MTI, you can expect an exciting, challenging and rewarding career

About your application process

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 Ministry of Trade and Industry or the wider Public Service.

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.

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