Total 3 Internship data entry clerk job vacancies in d16 upper east coast bedok eastwood kew drive

We are seeking a highly motivated Data Engineering Intern to gain hands-on experience in building data infrastructure. You'll develop your problem-solving skills by contributing to the design and implementation of data pipelines and storage solutions. This internship offers an opportunity to learn from experienced engineers within a fast-paced environment, while contributing to the agile development cycle.

ROLES AND RESPONSIBILITIES

• Assist Data Scientists, Data Engineers, and Analysts in building and managing data products, including the SISTIC Data Warehouse/Data Lake.
• Contribute to data pipeline development by learning from experienced engineers and assisting with tasks like design, testing, and documentation.
• Learn to identify and troubleshoot issues in existing data pipelines, gaining experience for future improvements.
• Gain exposure to building data pipelines by working on smaller components or contributing to specific stages.
• Support data warehouse and database maintenance under the guidance of senior engineers.
• Learn to monitor data pipelines and identify potential issues.
• Write clean and well-documented code under the supervision of experienced engineers.
• Gain experience with data ingestion techniques like scripting, web scraping, APIs, and SQL queries.
• Participate in code review sessions to learn from best practices and improve understanding.

SKILLS AND EXPERIENCE REQUIRED

• Strong foundation in computer science or a related field (e.g., coursework, projects)
• Core engineering concepts: Demonstrate a strong desire to learn about core data engineering concepts, such as data pipelines (ETL processes) and data storage solutions (data warehouses and data lakes). Familiarity with Google Cloud Platform would be a plus.
• Strong foundation in Python and SQL: This demonstrates the intern's ability to work with data manipulation tools commonly used in data engineering.
• Interest in learning Apache Spark (PySpark): This highlights the intern's desire to explore big data processing frameworks relevant to the field.
• Big data analytics: Demonstrate a basic understanding of the Hadoop ecosystem, including concepts like distributed storage and parallel data processing.
• Understanding of data warehousing and data lake concepts.

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Shape your Career with Citi

Citi’s Enterprise Services and Public Affairs (ESPA) aims to enhance how our stakeholders perceive and experience Citi. We manage our reputation by engaging with our stakeholders and delivering great spaces and services to colleagues and clients.

We’re currently looking for a high caliber professional to join our team as Assistant Vice President, Business Strategy and Data Analyst (Facilities & Construction, Real Estate Services, International Cluster)- Hybrid (Internal Job Title: Fac Ops Facilities Mgr - C12) based in Singapore.

Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:

• Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
• We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That’s why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.
• We empower our employees to manage their financial well-being and help them plan for the future.
• Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.
• We have a variety of programs that help employees balance their work and life, including generous paid time off packages.
• We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world.

In this role, you will be:

• Part of a global Business Execution Team for the Facilities & Construction Function within the Citi’s Real Estate Services Team
• Interacting with all the functions within the Facilities and Construction team – Design & Change Management, Construction, Facilities Management, Sustainability & Net Zero, Critical Facilities and Governance.
• Primarily reporting to and supporting one of our Business Execution Workflow Leads currently based in Singapore.
• Assist on and eventually own Global Strategic Initiatives
• Incubate ideas, connect teams, and clarify needs to create an actionable project roll out and project plan.
• See through the execution of these project plans to completion and achievement of committed qualitative, quantitative, and financial benefits.
• Executive reporting on supported initiatives & workflows
• Providing day to day support to Functions based in the International Cluster (APAC & EMEA) including:Apply predictive analytics to enhance decision making processes.
  Cross referencing data points into useful actionable analytics / risk management controls
  Create process to ensure ~100% accuracy of collected data.
  Shift all manual data collection processes to systemic and eventually automated as a roadmap.
  Determine a Data management strategy – Data Collection, Cleaning, Storage, Synthesis & Analytics
  Exhaustively document and consolidate all data points created by and consumed by the organization.
  Owning the Global Facilities & Construction Data Consolidation Initiative with under the guidance of the reporting manager
  Collation of Cluster feedback to Global Function Leads & Follow Ups
  Collateral & Communications support
  Incident Reporting
  Reporting Requests
  Incubating ideas into potential global initiatives and programs

As a successful candidate, you’d ideally have the following skills and exposure:

Development Value:

• Ability to utilize Business & Data Analytics experience within the largest financial institutions in the world.
• Opportunity to work with individuals from across a wide geographic and culturally diverse environment.
• High level of exposure to senior members of staff from both RES Cluster and Division/Global team
• Opportunity to influence and develop policies and procedures within a large company environment.
• Excellent career development and progression within Real Estate Services in Financial Institution, within country and overseas.

Skills/Experience:

• Minimum of 3 years of experience in a corporate setting and 5-8 years overall; Corporate Real Estate and/or Financial Services experience a plus.
• Experience of working in diverse international environment
• Broad knowledge and understanding of real estate disciplines (architecture, construction, space planning, and engineering, etc.)
• Exceptional communication skills both spoken and presented / reported.
• Experience in using Microsoft Office software in a business problem solving context.
• Strong analytical skills. Experience in data management & analytics ideal.
• Process Review and implementation.
• Strategic planning & Project Management
• Relationship Management.

Qualifications:

• Bachelor’s degree or equivalent experience in business or
• Recognized degree in either Facilities/Project Management/Engineering, Architectural/Interior Design / Real Estate

Competencies:

• Excellent communications, both written and verbal with an emphasis on the ability to relate to staff, peers and senior management in a relaxed, professional manner.
• Leadership
• Verbal and written communication skills
• Planning and organization
• Team player
• Managing remotely
• Time Management and prioritization
• Negotiation and influencing

LUXASIA is the leading beauty omnichannel distribution platform of Asia Pacific that has successfully enabled brand growth for more than 100 luxury beauty brands. Our integrated brand-building capabilities include luxury retail, online commerce, consumer marketing, and supply chain management. Since 1986, the company has partnered the world’s finest brands, such as Aveda, Bvlgari, Calvin Klein, Diptyque, Hermes, La Prairie, Montblanc, and SK-II. We have also established Joint Ventures with the likes of LVMH Group, Elizabeth Arden, Puig, Yves Rocher, and By Terry. At the core of our business is a diverse and dynamic #OneTeam of 2000 talents that shape the face of luxury beauty, and delights consumers daily across our growing footprint of 15 markets.

Why Join Us?

At LUXASIA, we believe there is beauty within every talent – that is you. We grow you by building your competencies and unleashing your potential. We have curated a vast portfolio of over 100 luxury brands across Asia Pacific, and growing. Your work will enrich the lives of millions of consumers across the region. With us, you get to be an entrepreneur, running the business like it is your very own. We give you the autonomy but not without guidance and genuine care. We are a diverse and inclusive team that is courageously innovative. Together as #OneTeam, we celebrate differences, embrace change, explore new ideas, take risks, fail fast, and drive results. While challenges at work are inevitable, the journey promises to be fulfilling. With LUXASIA, an exciting career filled with robust professional growth awaits you. Isn’t that beautiful?

Intern Project Details

Develop a predictive analytics solution to discern customer preferences, behavioural patterns, and evolving market trends across various channels.

This solution should seamlessly offer personalized product recommendations, mitigate decision fatigue, streamline product discovery, accurately forecast churn likelihood, and optimize omnichannel strategies for sustainable business growth.

Responsibilities

• Data Collection and Cleaning
• Collecting, processing, and cleaning data from various sources to ensure accuracy and reliability.
• Preparing data sets for analysis by identifying and addressing any inconsistencies or missing values.

• Data Analysis
• Analysis of large datasets using statistical methods and machine learning techniques.
• Conducting exploratory data analysis to identify patterns, trends, and correlations.
• Development of predictive models and algorithms.

• Model Development and Evaluation
• Development and implementation of machine learning models for predictive analytics and enabling stakeholders to use these models for outreach campaigns.
• Evaluating model performance using appropriate metrics and making recommendations for improvement.

• Data Visualization
• Creating visualizations and reports to communicate findings and insights to stakeholders.
• Utilizing tools such as Tableau to create compelling data visualizations.

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related field.
• Strong programming skills in languages such as Python, R, or SQL.
• Familiarity with data manipulation and analysis libraries such as Pandas, NumPy, or scikit-learn.
• Basic understanding of statistical concepts and methods.
• Experience with data visualization tools and techniques.
• Excellent problem-solving and analytical abilities.