1,060 Data Analytics jobs in Singapore

Data Analytics/Science Manager

049318 Collyer Quay, Singapore $14000 Monthly DATA ANALYTICS RESEARCH & TECHNOLOGY INSTITUTE PTE. LTD.

Posted 14 days ago

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  • Great Working Environment
  • WFH / Hybrid Working Arrangement
  • Excellent Exposure and Opportunities

IQPC provides business executives around the world with tailored practical conferences, large-scale events, topical seminars, in-house training programs, and delivers a full suite of B2B digital opportunities, keeping them up-to-date with industry trends. IQPC produces over 1,500 events worldwide annually and continues to experience growth. Founded in 1973, IQPC now has offices in major cities across six continents including Berlin, Dubai, London, New York, Singapore, Sydney and Tampa. IQPC's large-scale conferences are market leading “must attend” events for their respective industries.


SSON Research & Analytics (SSON R&A) is the global data analytics center of the Shared Services & Outsourcing Network (SSON), a division of IQPC. At SSON R&A, we offer visual data insights that are simple, accurate, and digestible through a variety of data tools, analytics reports and expert advisory services to the SSON community – shared services and global business services executives who leverage technology and best practices to improve operational efficiency.


Job description:


We are looking for an experienced Data Analytics/Science Manager who combines entrepreneurial mind-set, strong leadership qualities, and exceptional business acumen. This role involves steering our data team’s daily operations and driving the innovation of our data products. Your work will significantly enhance the data insights delivered to our B2B clients by utilizing a combination of internal and external datasets.


As an integral member of the SSON R&A team, you will take the lead in communicating the team’s strategic projects to various internal stakeholders.


Responsibilities:


  • Leadership: Guide, motivate, and manage a lean team of data scientists and web developers to meet their targets regarding product volume, timeliness, completeness, and accuracy. Key duties include training, goal setting, resource allocation, performance management, and promoting staff development. Ensure meticulous documentation of all processes.
  • Product Innovation and Process Improvement:
  • Review and redesign data models and algorithms to ensure the accuracy and up-to-dateness of data products.
  • Optimize the utilization of internal and external data sources and drive necessary changes and enhancements.
  • Stakeholder Engagement: Collaborate closely with senior leadership, sales, marketing, and tech partners to thoroughly understand, document, analyze, and convert customer needs into product priorities, roadmap plans, and detailed specifications

Requirements:


  • A Bachelor's degree with a strong math and programming background with experience in a related field and a minimum of 5 years of experience in the analytics domain.
  • Proven track record of solving challenging problems by applying Advanced Analytics (Predictive/Casual/Optimization).
  • A minimum one year’s experience of managing and motivating a team within a commercial data/information operation, creating new metrics, indices, and performance measurement.
  • Advanced usage of R and Python. Strong ability to analyze, interpret and present data using advanced graphing software e.g. Tableau, D3, QlikView, Highcharts, Superset.
  • Experience with sourcing data sets from publicly available sources and indexing external websites.
  • Experience with large data sets and ability to work with both structured and unstructured data.
  • Familiarity with software development methodologies, e.g., Agile, Feature Driven Development, Rapid Application Development.
  • Have a mindset to streamline and automate processes. Experience using AI tools and Foundational Models to automate processes or workflows would be highly advantageous.
  • Expert analytical thinking and thought leadership skills, with a knack for communicating analytical findings to senior management.
  • A self-driven professional who excels both individually and in a team setting. Excellent communication, interpersonal, and negotiation skills are essential, as is comfort in working with multiple teams globally in virtual environment

We are seeking a candidate for the role of Data Analyst/Scientist who not only possesses experience in data analytics/science but also demonstrates exceptional business acumen. Additionally, the ideal candidate should be capable of simplifying and effectively communicating complex information to a team of non-technical executives


Join us in leading the way to transform data into insights, translating insights into action, and driving tangible business outcomes.

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Data Analytics

$70000 - $120000 Y NETS

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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
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Data Analytics

Singapore, Singapore $60000 - $120000 Y Schneider Electric

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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

1 on the Global 100 World's most sustainable corporations

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.

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Data Analytics

Singapore, Singapore $70000 - $120000 Y Parfums Christian Dior (PCD)

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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?

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Data Analytics

Singapore, Singapore $70000 - $120000 Y Christian Dior

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Position

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 responsibilities

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)

Profile

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

Additional information

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?

PARFUMS CHRISTIAN DIOR MAISON

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.

This advertiser has chosen not to accept applicants from your region.

Data Analytics

$20000 - $30000 Y PSA International

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Job Description

We are the World's Port of Call. Our winning formula is our People.

In our continuing journey to build great teams, we are looking for passionate individuals driven by a strong sense of purpose. It is only with the determination and commitment of our People that we can serve our customers, lead our industry and contribute to our nation to create new possibilities.

Working Alongside, we can deliver extraordinary results together Join #TeamPSA today

DATA ANALYTICS & PROCESS AUTOMATION INTERN (INVENTORY MANAGEMENT)

Job no:

Work type: Internship

Categories: Infocomm Technology, Internship

As an Intern, you will:

  • Immerse yourself in the IP team's diverse work processes, including but not limited to:


Decision making in placing orders for spare parts

Analyzing spare parts usage patterns

Tracking & analyzing spare parts for project needs

Identification & targeted monitoring of high-demand spares

Tracking contract consumption and expiry

  • Propose innovative solutions to automate tasks, enhance productivity, and streamline workflows.
  • Develop data-driven solutions to support and improve decision-making.

What you can expect during the internship:

  • Acquire comprehensive knowledge of supply chain management, including demand and supply planning, inventory management, and warehouse operations.
  • Engage with real-world complex data and develop skills to analyze large data sets from Hive data warehouse.
  • Master and implement cutting-edge digital and process automation tools such as UiPath, Power Automate, Power Apps, Power BI dashboards, Python for data analytics, and Generative AI.

What we are looking for:

  • Currently pursuing a Degree in Computer Science
  • Able to commit to a 6-month internship
  • Familiarity with Python programming tool: jupyter notebook
  • Familiarity with Robotic Process Automation tool: UiPath
  • Proficiency in Microsoft 365 tools: Excel, Words, PowerPoint, Power Automate, Power Apps etc.
  • Familiarity with Dashboard visualization tool: Power BI

This internship offers a unique opportunity to gain hands-on experience in a fast-paced environment, enhance your skillset, and make a tangible impact on our inventory management processes. Join us to work with a dynamic team, contribute to significant projects, and develop highly valued skills in today's data-driven world. and be a part of the IP team's success story

  • Please state your full-time internship availability in your CV. Only shortlisted candidates will be notified.

Advertised: 09 Oct 2025

Applications close: 31 Dec 2025

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Data Analytics Engineer

Singapore, Singapore Internal Security Department

Posted 14 days ago

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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)
  • Only Singaporeans need apply
  • We wish to inform you that only shortlisted candidates will be notified.

    Seniority level
    • Entry level
    Employment type
    • Full-time
    Job function
    • Information Technology
    Industries
    • 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 .

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    Data Analytics Instructor

    The Adecco Group

    Posted 13 days ago

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    Job Description

    workfromhome

    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.
    What do we teach?

    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.
    Responsibilities & Duties
    • 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:

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    Intern, Data Analytics

    $40000 - $80000 Y CapitaLand

    Posted today

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    About Us

    CapitaLand Group (CapitaLand) is one of Asia's largest diversified real estate groups. Headquartered in Singapore, CapitaLand's portfolio focuses on real estate investment management and real estate development, and spans across more than 260 cities in over 40 countries.

    Job Description

    Job Responsibilities:

    Data Collection and Validation

    • Assist in gathering data from various internal systems such as Property Management Systems (PMS), customer feedback platforms, and financial databases. Ensure data accuracy and completeness through routine validation and cleansing processes.

    Data Preparation and Transformation

    • Perform data preprocessing tasks including cleaning, formatting, and structuring datasets to prepare them for analysis and reporting. This may involve handling missing values, standardizing formats, and merging multiple data sources.

    Report and Dashboard Support

    • Collaborate with senior analysts to update and maintain operational and management dashboards using tools like Power BI or Tableau. Ensure timely refresh of data and troubleshoot any discrepancies in visualizations.

    Basic Data Analysis and Insights Generation

    • Conduct preliminary exploratory data analysis to identify trends, patterns, and anomalies. Support the team by producing summary statistics and simple visualizations to aid business decision-making.

    Documentation and Process Improvement

    • Document data workflows, processing steps, and standard operating procedures to enhance team knowledge sharing and operational consistency. Propose suggestions for process automation or efficiency improvements where applicable.

    Cross-Functional Collaboration

    • Work closely with stakeholders from operations, marketing, and revenue management teams to understand data requirements and support specific analytics requests or ad hoc reporting needs.

    Learning and Skill Development

    • Continuously develop technical skills in data analytics tools (such as PowerBI), programming languages (such as Python or SQL), and domain knowledge in hospitality analytics, contributing actively to team knowledge exchange sessions.

    Job Requirements:

    • Currently pursuing a degree in Business Analytics, Data Analytics, Data Science, Computer Science, Information Systems, Engineering (with data-related coursework) or related studies in Analytics.
    • Academic exposure to data query languages like SQL and Python.
    • Familiar with dashboard visualization tools like PowerBI, Tableau, QlikView.

    Closing Statement:

    At CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief or nationality.

    Only shortlisted candidates will be notified.

    This advertiser has chosen not to accept applicants from your region.

    Data Analytics Intern

    $30000 - $60000 Y YANMAR

    Posted today

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    Job Description

    • Assist in gathering data from various sources, including databases, spreadsheets, and internal systems.
    • Clean and transform raw data into structured formats suitable for analysis
    • Maintain and update existing datasets to ensure accuracy and consistency.
    • Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.
    • Perform data modeling to establish relationships and correlations between different data sets.
    • Design and develop interactive dashboards and reports using Power BI.
    • Collaborate with team members to understand reporting requirements and translate them into visualizations.
    • Optimize existing Power BI reports for better performance and user experience.
    • Any other duties that are assigned within the course of work

    • Currently pursuing a degree in Data Science, Computer Science, Statistics, Information Technology, or a related field.

    • Basic understanding of data analysis concepts and methodologies.
    • Familiarity with Power BI or similar data visualization tools.
    • Proficiency in Microsoft Excel, including pivot tables and data manipulation.
    • Knowledge of SQL for querying databases is a plus.

    Job Type: Internship

    Contract length: 5 months

    Pay: $1, $1,500.00 per month

    Work Location: In person

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