Total 5 Internship data entry clerk job vacancies

ABOUT US

As Southeast Asia’s #1 integrated logistics provider, Teleport is all about making logistics fast, affordable and reliable. 

Our mission? To move things across Southeast Asia better than anyone else. We’re focused on making next-day delivery a reality for all.

#TeamTeleport is guided by our values: Move with urgency — because time is crucial; Aim to pioneer — constantly innovating to stay ahead; Do it with intent — delivering with purpose and precision; and Keep it real — maintaining authenticity and transparency in all we do.

Learn more about Teleport here: https://www.teleport.it/ 

Key Responsibilities :

• Data Consolidation and Simplification :

- Collect, clean, and consolidate raw data from various sources or improvise it.

- Transform complex data sets into clear, understandable formats that can be easily interpreted by the team.

• Data Analysis and Insight Generation :

- Analyze data to identify trends, patterns, and anomalies.

- Provide actionable insights and recommendations based on data analysis to support business improvement and decision-making.

• Data Presentation :

- Develop and deliver presentations that communicate complex data and findings in a simplified and visually engaging manner.

- Utilize Google Sheets, Google Slides, and Google Docs to create clear and professional reports and presentations.

Qualifications:

• Analytical Skills : Strong numerical and analytical abilities with a keen eye for detail.
• Data Interpretation : Ability to interpret complex data and present it in a user-friendly format.
• Technical Proficiency : Proficiency in Google Workspace (Google Sheets, Google Slides, Google Docs) is preferred.
• Communication : Excellent written and verbal communication skills, with the ability to present data-driven insights effectively.
• Problem-Solving : Strong problem-solving skills and the ability to think critically about data and its implications for the business.
• Team Player : Collaborative mindset with a willingness to contribute to team efforts and learn from others.

Preferred Qualifications:

• Pursuing or completed a degree in Data Science, Statistics, Mathematics, Economics, Business, or a related field.
• Previous experience or coursework in data analysis or data visualization is a plus.

At Teleport, we’re all about creating a diverse and inclusive team where everyone feels valued. We believe that different perspectives make us stronger and help us do logistics better across Southeast Asia. We welcome people from all walks of life and celebrate what makes each of us unique. If you’re passionate about making a difference, we’d love to hear from you!

• Gain practical experience and exposure to real-world data analysis challenges.
• Opportunity to work with a dynamic and innovative team.
• Networking opportunities and potential for future employment.

Work-Life at #TeamTeleport

Unlimited training -You will have access to a wide range of learning resources including Notion!

Ditch the Suit & Tie - Be comfortable as you are, express your inner Fashionista… as long as it's not a birthday suit!

Growth opportunities - We embrace and take on opportunities to learn and grow at Teleport as we reimagine the way we do things. Yes, we meet the challenge head on as a team, and we celebrate together with you when you succeed and reap the rewards when the hard work pays off!

Data / ML Intern, BenefitBee

BenefitBee is a stealth-stage startup based in the US and Singapore, building AI-native infrastructure for the employee benefits world. The founding team has built and scaled venture-backed companies and brings operating experience from places like Wish, Meta, Blackrock and Mercer. If you join, you'll be learning directly from founders and operators who have done this at a serious scale.

Our vision
Employee benefits is a massive, deeply manual industry that still runs on PDFs, spreadsheets, and email. We think the entire workflow can be rebuilt around AI, turning messy, unstructured documents into structured intelligence that helps people make faster, better decisions. We're early and moving fast, and the people who join now will help shape both the product and the company.

What you'll work on

• Build Python pipelines to extract and clean unstructured text from insurance, medical, and academic documents

• Convert raw text into standardized schemas (JSON) that feed our downstream analytics

• Develop models to surface trends in claims, renewals, and preventative care outcomes

What we're looking for

• Pursuing or completed a degree in Data Science, CS, Math, Biomedical Engineering, or Bioinformatics

• Solid Python and a real grasp of evaluation metrics (Accuracy, AUC, F1, etc.)

• Hands-on experience parsing text from PDFs, spreadsheets, and other unstructured sources

• Bonus: you've wrangled genuinely ugly documents before and lived to tell the tale

You'll work directly with the founding team, ship things that go into the actual product, and see how an experienced team builds a company from zero.

Duties and Responsibilities:

• Support the Capesize broking team in the negotiation and fixture process by providing timely market intelligence and operational support.
• Monitor and analyze dry bulk shipping market activities, with a focus on the Capesize segment.
• Prepare and distribute daily market updates, including vessel fixtures, freight rates, and route-specific developments to brokers and clients.
• Maintain and update centralized market databases to ensure the accuracy, relevance, and timeliness of information.

Detailed Day to Day task:

• Update and maintain daily records of Capesize fixtures and freight market developments across key trade routes.
• Compile and distribute morning market reports for brokers and clients.
• Support broker communications by preparing market updates and centralized data reports through internal communication channels.
• Ensure all market data, vessel positions, and cargo information are accurately maintained within internal systems.
• Assist brokers in distributing cargo and tonnage availability reports to targeted client groups.
• Follow up on vessel and cargo positions to ensure information remains current and actionable.
• Monitor market movements and provide relevant updates to support ongoing negotiations and commercial discussions.

Job Requirement:

• Good analytical skills with the ability to interpret market data and identify key trends.
• Excellent attention to detail and ability to manage routine, data-intensive tasks efficiently.
• Strong interpersonal and communication skills, with the ability to work effectively with internal stakeholders and clients.
• Customer-oriented mindset with a professional approach to communication.
• Proficiency in Microsoft Excel is required; knowledge of SQL or other data analysis tools is an advantage.
• Ability to work independently while managing multiple priorities in a fast-paced environment.
• Self-motivated, proactive, and eager to learn about the dry bulk shipping industry.
• No prior experience required, training will be provided

The intern will be attached to the Fleet Digital section and will support the team in the following activities: 

• Extract and analyze sets of data from multiple sources and database for Harbour Launch, Tugs and Crew Deployment; develop and test hypothesis and communicate with section managers recommendations. 

• Identify and interpret trends or patterns in the collected data sets. 

• Detect anomalies, spot discrepancies and possible defects from our Fleet Management System 

• Produce insights on operations data using analytic tools (Python/Excel/Power BI) 

• Design, develop and maintain ongoing reports and dashboards. 

• Take in the lead in digitalization projects by working with key stakeholders within and outside of organization. 

• Perform any other ad-hocs duties as assigned. 

Preferred Skills

• Proficiency in Python Programming Language and Excel VBA 

• Experience in UI/UX designing and able to develop dashboard with data visualization tools (Example: Power BI and Tableau) 

• Analytical mindset driven to understand machinery and operation data 

• Strong organizational and problem-solving skills 

• Commitment to learning including new analytical methods and Harbour Craft profile 

• Ability to identify data-driven insights and trends from large data sets, keeping in mind of data quality and accuracy 

• Able to develop Robotics Process Automation (RPA) – UiPath would be a plus. 

As the world's largest research organization, NIQ is powered by talented creative scientists. Our Data Scientist Business Leaders come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy. The Job Responsibilities of a Data Science Intern: 

• Support the Data Science team in day-to-day activities, including data cleaning, validation, extraction, and basic analysis to resolve data queries.
• Collaborate with associates to develop new solutions, use cases, proof-of-concepts (POCs), and prototypes by exploring diverse datasets using tools such as Python.
• Assist in automating existing processes and developing enhancements, including proposing new data visualizations or improving current dashboards (e.g., Power BI).
• Build and maintain positive working relationships across teams, ensuring open communication and alignment to deliver against client expectations and satisfaction.
• Ensure adherence to company regional and global standards, compliance guidelines, and best practices at all times.
• Provide support for team initiatives and take on additional tasks or projects as assigned.