Total 17 Internship data entry job vacancies in Australia

About the Role

We are looking for a motivated Data Management Intern to support our data quality, analysis, and process improvement initiatives. This role provides hands-on exposure to real operational data, data visualization, and automation tools within a business environment.

You will work closely with the supervisor to ensure data accuracy, generate useful insights, and improve internal data workflows.

Job Scope

• Data Cleaning & Management: Assist in cleaning and validating customer, supplier, and inventory master data to ensure accuracy, consistency, and completeness.

• Data Analysis & Insights: Perform data analysis to identify trends, patterns, and insights that support operational and business decision-making.

• Data Visualization & Reporting: Create and maintain dashboards and reports to help users monitor key information (knowledge of Power BI is an advantage).

• Process Improvement & Automation: Review existing data management processes and propose improvements, including using Microsoft tools such as Microsoft Lists, Power Apps, and Power Automate.

• Communication & Support: Present insights using data storytelling techniques and assist the supervisor with ad-hoc data analysis, reporting, and related tasks.

Requirements

• Currently pursuing a Degree in Data Analytics, Business Analytics, Information Systems, Computer Science, or a related field.

• Knowledge of Microsoft Excel and data analysis concepts.

• Familiarity with Power BI or other data visualization tools is an advantage.

• Interest in data management, analytics, and process improvement.

• Knowledge of Microsoft Power Platform (Power Apps, Power Automate, or Microsoft Lists) is a plus.

• Strong attention to detail, analytical thinking, and problem-solving skills.

• Self-motivated, proactive, and able to work independently with guidance from a supervisor.

Based in Singapore, the Data ScienceIntern will develop and apply machine learning and computer vision techniquesto extract actionable insights from data collected by inspection and NDT tools,helping to advance the company's software products and solutions.

What will you do

• Develop tools to process the high volume of information collected by cameras and NDTtools (e.g Ground Penetrating Radar)
• Uncover hidden data correlations in aforementioned data (e.g. presence of corrosion vs concrete cover vs geographical location)
• Improve existing software tools using data science

1. Discover, learn and apply state-of-the-art Machine Learning techniques to InspectionTech problems.
2. Leverage data science techniques to improve customer insights in the InspectionTech space.

• Support project lifecycles from brainstorming to production
• Contribute to developing cutting-edge software and solutions that add value to the company and its customers.

What do we expect

• Pursuing a bachelor’s degree in Computer Science or related fields.
• Knowledge in Machine Learning libraries such as PyTorch.
• Knowledge in Computer Vision libraries such as OpenCV.
• Knowledge in Python and neural network frameworks (Pytorch, TensorFlow).

About the Role

We are looking for a motivated Data Management Intern to support our data quality, analysis, and process improvement initiatives. This role provides hands-on exposure to real operational data, data visualization, and automation tools within a business environment.

You will work closely with the supervisor to ensure data accuracy, generate useful insights, and improve internal data workflows.

Job Scope

• Data Cleaning & Management: Assist in cleaning and validating customer, supplier, and inventory master data to ensure accuracy, consistency, and completeness.

• Data Analysis & Insights: Perform data analysis to identify trends, patterns, and insights that support operational and business decision-making.

• Data Visualization & Reporting: Create and maintain dashboards and reports to help users monitor key information (knowledge of Power BI is an advantage).

• Process Improvement & Automation: Review existing data management processes and propose improvements, including using Microsoft tools such as Microsoft Lists, Power Apps, and Power Automate.

• Communication & Support: Present insights using data storytelling techniques and assist the supervisor with ad-hoc data analysis, reporting, and related tasks.

Requirements

• Currently pursuing a Degree in Data Analytics, Business Analytics, Information Systems, Computer Science, or a related field.

• Knowledge of Microsoft Excel and data analysis concepts.

• Familiarity with Power BI or other data visualization tools is an advantage.

• Interest in data management, analytics, and process improvement.

• Knowledge of Microsoft Power Platform (Power Apps, Power Automate, or Microsoft Lists) is a plus.

• Strong attention to detail, analytical thinking, and problem-solving skills.

• Self-motivated, proactive, and able to work independently with guidance from a supervisor.

• Develop and maintain interactive dashboards and reports using Power BI and/or Tableau
• Convert existing reports into structured data marts for improved scalability and performance
• Assist in migrating current reports and dashboards to a new reporting server/environment
• Perform data validation and ensure accuracy and consistency across reports
• Prepare and maintain comprehensive documentation for reports, data sources, and processes
• Collaborate with stakeholders to understand reporting requirements and suggest improvements

About Us

Founded in 2014, Lumens Group is leading the transformation of the mobility industry in Singapore. We have successfully built one of Singapore's largest car fleets and expanded our offerings to personal and corporate leasing, purchasing and financing. As we enter a new phase, we're building an integrated ecosystem for merchants and consumers, driven by advanced technology and a mission to enrich everyday life. Now, we're on the lookout for a data analyst intern to join us in Singapore.

Your Role on Our Journey

We are looking for a Data Analyst Intern to support our business teams in making data driven decisions. The intern will work closely with different stakeholders to understand processes and reporting needs and then translate them into automated solutions and dashboards. This role is ideal for someone who is detail-oriented, curious, and eager to learn about data analysis and business operations.

Your Day-to-Day Adventures

• Collaborate with different teams to understand workflows, requirements, and reporting needs.
• Automate report generation to improve efficiency and reduce manual work.
• Build, update, and schedule Power BI dashboards for business monitoring.
• Clean, transform, and prepare data from multiple sources for analysis and automation.
• Assist in setting up data pipelines to ensure data accuracy, timeliness, and usability.
• Conduct ad-hoc analyses to provide insights that support business decisions.

What Makes You a Perfect Fit

• Proficient in Power BI (dashboard creation, scheduling, data modeling).
• Familiarity with data integration and data pipelining (extracting, cleaning, and preparing data from multiple sources).
• Basic scripting/programming knowledge (e.g., Python for report automation, data cleaning, or ETL tasks).
• Strong analytical and problem-solving skills with attention to detail.
• Good communication skills to translate business needs into technical requirements.

Good to Have (Bonus) Skills

• Knowledge of SQL for querying and joining datasets.
• Experience with Excel/Google Sheets for quick analyses.
• Exposure to ETL tools or cloud data platforms.
• Basic understanding of data governance, quality checks, and version control.

Ready to Drive the Extra Mile?

Send your resume that showcases your unique spark to us today. If your journey aligns with ours, we'll get in touch soon!

Responsibilities

About the team

Seed Global Data is a team focused on producing international data for LLMs. For the training of large models, data is the lifeline of model quality — and the Global Data team is working closely with technical, product, and operations teams to ensure effective data production strategies and execution management.

As a key member of our Global Data Team, the project intern will play a pivotal role in managing the intricate processes involved in training large language models (LLMs) with diverse datasets. This role focuses on overseeing and improving operational workflows, primarily for safety-related projects, ensuring they are delivered with high quality and efficiency.

As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.

Research and participation in model safety workflows to identify limitations in and support the improvement of model safety and existing evaluation paradigms. This may involve:

- Conducting academic and industry research on the AI safety landscape.

- Performing systematic human or automated evaluations of model outputs for safety, bias, and harmful content.

- Scoring, categorizing, and comparing different models' responses using established safety rubrics.

- Evaluating existing evaluation frameworks and surfacing feedback on areas of improvement.

- Preparing documentation/summaries on evaluation and research findings with detailed assessment reports for stakeholders.

Please note that this role may involve exposure to potentially harmful or sensitive content, either as a core function, through ad hoc project participation, or via escalated cases. This may include, but is not limited to, text, images, or videos depicting:

- Hate speech or harassment

- Self-harm or suicide-related content

- Violence or cruelty

- Child safety

Support resources and resilience training will be provided to support employee well-being.

Qualifications

Minimum Qualifications

- Currently pursuing Bachelor's or Master's degree in AI policy, Computer Science, Engineering, Journalism, International Relations, Law, Regional Studies, or a related discipline.

- Basic understanding of prompt engineering and large models, interest and familiarity with AI safety concepts (bias, toxicity, harmful content, etc.)

- Strong analytical skills, with the ability to interpret both qualitative and quantitative data, and exceptional communication skills in English to translate them into clear insights.

- Creative problem-solving mindset, with comfort working under ambiguity and leveraging tools and technology to improve processes and outputs.

Preferred Qualifications:

- Experience in AI safety, Trust & Safety, risk consulting, or risk management is highly desirable.

- A growth mindset, with a genuine receptiveness and enthusiasm for continuous learning. Readiness to actively solicit and apply constructive feedback. Intellectually curious, self-motivated, detail-oriented, and team-oriented.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy

If you have any questions, please reach out to us at apac-earlycareers@bytedance.com

YOUR MISSION _________

• Drive process efficiency by automating reporting and improving data workflows, enabling faster and more reliable decision-making through standardized datasets and dashboards

Core Responsibilities

Automation & Digitalization

• Identify recurring manual tasks (report preparation, data consolidation, tracker updates) and redesign workflows to reduce cycle time and errors
• Build automation using Excel Power Query/Power Pivot, Power BI dataflows, and/or Python (where applicable)
• Support digitization of trackers/forms (e.g., standardized templates, structured input, controlled master data)

Data Pipeline & Governance (Light data engineering)

• Consolidate data from multiple sources into clean, standardized datasets (“single source of truth”)
• Maintain backend datasets and ensure refresh schedules and data quality controls that support real-time retail, operations, and data dashboards
• Implement data governance: KPI definitions, data validation checks, version control, documentation in line with APAC database

Dashboards & Self-Serve Reporting

• Design and maintain Power BI dashboards and automated reporting packs for stakeholders
• Create clear metric definitions and user guides to enable self-serve usage

Documentation & Enablement

• Maintain SOPs, process documentation, and training materials for new automated workflows
• Support ad-hoc analytics requests tied to improving repeatable processes

Deliverables / Success Measures

• Accurate and on-time retail ops reporting packs and dashboards
• Improved data quality and governance (fewer reporting errors, clearer KPI definitions)
• Documented processes/SOPs and measurable time saved via automation or workflow improvements
• Effective coordination support to stores and field team

About Amartha

At Amartha, we empower micro-businesses across Indonesia, enabling growth and equal prosperity. We’ve supported over 2.7 million entrepreneurs—mostly women—by disbursing IDR 22.8 trillion in funding. As we step into 2026, Amartha is evolving into a technology-driven financial ecosystem, expanding our reach in lending, funding, and payments. Through innovation and digital solutions, we aim to enhance accessibility, streamline processes, and create a seamless user experience.

About the Role

As a Digital Lending - Data Analyst Intern, you will support the team in analyzing user and transaction data, building dashboards, and generating reports to monitor digital lending performance.

You will work closely with Product, Marketing, and Growth teams to identify insights, improve user journey, and support data-driven decision making. You will also assist in data cleaning and reporting automation to ensure data accuracy and efficiency.

Job Descriptions

• Collect, clean, and process data from various internal systems and sources.
• Develop dashboards and performance reports (weekly/monthly) related to users, transactions, and digital funnel performance.
• Conduct analyses to identify trends, pain points, and opportunities for improving the digital user journey.
• Collaborate with Product, Marketing, and Growth teams to provide insights and data-based recommendations.
• Support documentation of data definitions, metric calculations, and dataset structures.
• Assist in automated reporting (scheduling queries, report generation, and alerting)

• Final-year student or fresh graduate in Statistics, Mathematics, Information Systems, Information Technology, Industrial Engineering, or a related field.
• Proficiency in SQL (required) — able to write queries from scratch.
• Familiar with Excel / Google Sheets (lookup, pivot, formulas).
• Comfortable working with large datasets and performing data cleaning.
• Strong attention to detail, analytical mindset, and comfortable working with numbers

At Amartha, we are dedicated to creating a workplace that celebrates diversity, ensures equity, and fosters inclusion. We believe that diverse perspectives—shaped by factors such as gender, age, race, ethnicity, education, culture, and life experiences—drive innovation and growth.

We actively welcome individuals from all backgrounds to join us in building an environment where everyone feels respected, valued, and empowered. Our commitment is to provide equal opportunities and foster a sense of belonging that enables our employees to thrive and make meaningful contributions.

About the Role

We are looking for a motivated Data Management Intern to support our data quality, analysis, and process improvement initiatives. This role provides hands-on exposure to real operational data, data visualization, and automation tools within a business environment.

You will work closely with the supervisor to ensure data accuracy, generate useful insights, and improve internal data workflows.

Job Scope

• Data Cleaning & Management: Assist in cleaning and validating customer, supplier, and inventory master data to ensure accuracy, consistency, and completeness.

• Data Analysis & Insights: Perform data analysis to identify trends, patterns, and insights that support operational and business decision-making.

• Data Visualization & Reporting: Create and maintain dashboards and reports to help users monitor key information (knowledge of Power BI is an advantage).

• Process Improvement & Automation: Review existing data management processes and propose improvements, including using Microsoft tools such as Microsoft Lists, Power Apps, and Power Automate.

• Communication & Support: Present insights using data storytelling techniques and assist the supervisor with ad-hoc data analysis, reporting, and related tasks.

Requirements

• Currently pursuing a Degree in Data Analytics, Business Analytics, Information Systems, Computer Science, or a related field.

• Knowledge of Microsoft Excel and data analysis concepts.

• Familiarity with Power BI or other data visualization tools is an advantage.

• Interest in data management, analytics, and process improvement.

• Knowledge of Microsoft Power Platform (Power Apps, Power Automate, or Microsoft Lists) is a plus.

• Strong attention to detail, analytical thinking, and problem-solving skills.

• Self-motivated, proactive, and able to work independently with guidance from a supervisor.

The Role: A Glimpse into the Future of Data Engineering

We are seeking a motivated and creative AI in Data Engineering Intern to join our dynamic data team. This is a unique opportunity to work at the intersection of Artificial Intelligence, data engineering, and cloud computing.

You won't be just running queries; you'll be building the future. Your core mission will be to research, design, and develop AI-powered tools that monitor, analyze, and optimize our data pipelines. Your work will directly enhance the efficiency, reliability, and cost-effectiveness of our entire data ecosystem, providing you with a high-impact project for your portfolio.

Key Responsibilities:

• Analyze & Identify: Use your SQL skills to query pipeline metadata, logs, and performance metrics to identify bottlenecks, inefficiencies, and patterns of failure.
• Research & Design: Investigate and prototype AI/ML solutions to address key pipeline challenges. This could include:
  • Predictive models for pipeline runtimes or resource consumption.
  • Anomaly detection systems to flag data quality issues or pipeline delays in real-time.
  • Generative AI tools to automate boilerplate code generation or create documentation.
• Build & Develop: Write clean, efficient, and well-documented Python code to build these tools. You’ll work with libraries like Pandas, Scikit-learn, TensorFlow/PyTorch, and frameworks like Flask or FastAPI to create services.
• Deploy & Automate: Containerize your applications (e.g., using Docker) and deploy them to our cloud environment (e.g., AWS Lambda, Google Cloud Functions, Azure Functions). You'll gain hands-on experience in bringing a tool from concept to production.
• Collaborate & Present: Work closely with our senior data engineers, data scientists, and platform architects. You will be expected to present your findings, progress, and final project to the team and key stakeholders.

Requirements:

• Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Software Engineering, Statistics, or a related technical field.
• Strong proficiency in Python and experience with its data-centric libraries (e.g., Pandas, NumPy, Scikit-learn).
• Solid understanding of SQL and experience querying relational databases (e.g., PostgreSQL, MySQL, Snowflake, BigQuery).
• A foundational understanding of machine learning concepts (e.g., regression, classification, clustering).
• Familiarity with cloud computing concepts (AWS, GCP, or Azure).
• An insatiable curiosity, a desire to learn, and a proactive, problem-solving mindset.

Bonus Points (Preferred Qualifications):

• Prior experience with data orchestration tools like Airflow, Dagster, or Prefect.
• Hands-on experience with Docker for containerization.
• Experience building and deploying simple APIs using Flask or FastAPI.
• Familiarity with Infrastructure as Code (e.g., Terraform, AWS CloudFormation).
• Interest or experience with Large Language Models (LLMs) and their application via APIs (e.g., OpenAI, Anthropic).

What We Offer (The Intern Experience):

• Real-World Impact: Work on a meaningful project that will be integrated into our production systems and deliver tangible value.
• Dedicated Mentorship: Receive guidance and support from an experienced senior engineer who will help you navigate your project and career goals.
• Hands-On Learning: Gain practical experience across the full development lifecycle—from ideation and research to deployment and monitoring in a professional cloud environment.
• Networking: Connect with professionals across our engineering, product, and business teams.
• A Great Portfolio Piece: Leave with a completed, high-impact project that you can showcase to future employers.

We are looking for a Data Intern to support our team in collecting, processing, and analyzing data to generate insights that support business and product decisions. 

The intern will assist in building and maintaining data ingestion pipelines, preparing datasets, and supporting analytical tasks.

This role is suited for candidates who are curious, analytical, and proactive learners, with a strong interest in working with structured and unstructured data. As part of the internship, the candidate will be expected to self-learn and experiment with data and AI tools independently.

Key Responsibilities 

1. Data Ingestion & Data Pipeline Support

• Assist in collecting and ingesting data from multiple sources such as APIs, databases, and external datasets 
• Support the development and maintenance of data pipelines and ETL workflows 
• Help ensure data integrity, consistency, and reliability across systems 

2. Data Preparation & Processing 

• Clean, transform, and organize datasets for analysis and reporting 
• Assist in preparing datasets for dashboards, analytics models, and internal reporting 
• Perform data validation and quality checks 

3. Data Analytics & Insights 

• Conduct exploratory data analysis to identify trends, patterns, and anomalies 
• Assist in building reports and visualizations for internal stakeholders 
• Help translate raw data into actionable insights for product, marketing, and operational teams

4. Tools & Data Infrastructure 

• Support Work with data tools and platforms to support data ingestion and analytics workflows
• Assist in documenting datasets, workflows, and data structures 
• Support the team in improving data accessibility and reporting efficiency

5. Cross-Functional Collaboration 

• Collaborate with engineering, product, and business teams to understand data requirements 
• Support requests for data analysis and reporting 
• Communicate findings and insights clearly through reports or dashboards 

Required Skills & Tools 

• Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Information Systems, or related fields
• Basic knowledge of SQL and data querying Familiarity with Python, R, or other data analysis tools is a plus 
• Exposure to data visualization tools (Power BI, Tableau, Looker Studio, etc.) is advantageous 
• Understanding of data structures, databases, and data processing concepts 
• Strong analytical thinking and attention to detail 
• Self-starter with the ability to work independently, manage tasks proactively, and adapt in a fast-paced environment

Preferred Qualifications 

• Exposure to AI-assisted coding or scripting tools (e.g., Python AI libraries, LLM APIs, or AI copilots) to support data ingestion, automation, or analytics workflows 
• Familiarity with using AI tools to accelerate coding, data processing, or analysis tasks 
• Comfortable self-learning new tools and technologies, particularly AI or automation tools 
• Ability to research, experiment, and independently implement scripts using documentation and online resources

Job Description & Requirements

Market Intelligence International Sector Analyst, Proprietary Research

ABOUT PROPRIETARY RESEARCH

On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within.

ROLE SUMMARY

As a Market Intelligence International Sector Analyst, you will provide industry context and business fundamentals to our team of data scientists and engineers and deliver synthesized insights to our investment professionals as you partner with them on their research needs. The work is ever evolving, affording opportunities to tackle new challenges alongside research teammates from diverse backgrounds. Specifically, you will gain exposure and knowledge to:

• Develop subject-matter expertise on the key themes and KPIs that drive the industries and companies in your coverage

• Compose research reports that synthesize research findings on behalf of our investment professionals

• Interact directly with our investment professionals, learning the discretionary investment process from them and helping drive more informed investment decisions

• Collaborate with our global proprietary research teams to source and extract the most value out of new and existing data assets

WHAT EXCITES YOU

• Staying current on the industry trends impacting businesses around the world

• Gaining deep expertise in industries, business models, and supply chains

• Synthesizing clear takeaways from complex information derived from both qualitative and quantitative methods

• Understanding the use of alternative data market and its role in discretionary investing

• Multi-tasking and switching gears frequently to address the needs of the business

• Taking an experiment-based research approach with freedom to innovate

• Working as part of a cross-functional team made up of Investment, Research, and Compliance professionals

WHAT EXCITES US

• Superb business intuition and a solution orientated, methodological approach to problem solving

• Ability to collaborate with and build strong client relationships

• Intellectual curiosity and an eagerness to find out if your conclusions are right or wrong

• People who “elevate the room” through their work ethic, curiosity, and solution orientated attitude

WHAT’S REQUIRED

We’re looking for someone with a thorough understanding and appreciation for the research process, who values collaboration and challenging work. Specifically, you will need:

• An understanding of, or passion for, navigating equity markets

• 2-5 years of equity/investment research experience, or experience leveraging data analysis as part of fundamental research process for business, public policy, finance, engineering, applied sciences, or other quantitative fields

• Excellent attention to detail, organization, and project management skills

• Elevated business intuition and an innate ability to structure ambiguous problems and take action to solve them

• Strong verbal and written communication

• Ability to work in a fast-paced environment

• Adherence to the highest ethical standards working closely with the firm’s Compliance team

• Proficiency with technical coding/programming (SQL, Python)

• Helping to clean and validate customer, supplier and inventory data by identifying and correcting errors and inconsistencies. Ensuring accuracy and completeness of data.

• Collaborate with team members to interpret data and support decision-making processes

• Perform data analysis using various tools and techniques to extract insights and trends. Good knowledge of Power BI is an advantage for building visualization dashboards. Strongly self-motivated, proactive, and willing to learn due to our knowledge limitation in Power BI.

• Use of data storytelling to do walkthroughs on the reports' contents and data insights to users.

• Improve the data collection and cleaning methods through automation.

• Documenting the details of ERP processes and other related information for future reference.

• Perform ad-hoc data analysis.

We are looking for an intern to assist in collecting, cleaning, and analyzing datasets to generate business insights. Support dashboard creation, data visualization, and basic statistical analysis while helping the team prepare reports and improve data-driven decision making. 

Key Responsibilities 

• Involve in the process to build, validate, test, and deploy machine learning models or algorithms to solve real estate related problems 

• Have chances to optimise or design and build new framework and automation tools to enable teams to consume and understand data faster 

• Support various stakeholders by proposing and implementing data science models to extract insights 

• Perform data cleaning, exploratory analysis, and quality checks to ensure reliable model inputs  

• Analyze large datasets to identify trends, anomalies, and market patterns in property transactions and listings 

Qualifications & Requirements 

• Pursuing or recently completed a Bachelor’s or Master’s degree in Computing, Data Science, Statistics, Engineering, or a related field  

• Strong Python programming skills, including experience with pandas, NumPy, and scikit-learn  

• Familiarity with SQL and working with relational databases  

• Basic understanding of statistics and machine learning concepts  

• Knowledge in computer vision and NLP, LLM is a plus 

• Knowledge in Big Data (Spark, Hadoop/Hive) and real-time analytics is a plus 

What You Will Gain 

• Hands-on experience working with real-world real estate datasets  

• Exposure to machine learning models used in production systems  

• Experience with large-scale data pipelines and analytics workflows  

• Opportunity to contribute to real products used by the real estate industry