Total 9 Internship technical analyst job vacancies in Information Technology category in Hong Kong

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!

Scope of the Role:

• Focus on remote countries: Data analysis of key performance indicators to identify gaps and areas for improvement
• Training needs: Identify new and realignment requirements in collaboration with the Technical Team (Apparel inspections)
• Accelerate the completion of the revamped e-learning platform and align it with inspectors’ certification via the front-end
• Work closely with the Technical Team to prioritize and organize required training sessions
• Review country-specific reports and define action plans, with priority on remote countries
• Automation of One Sliders for inspections, priority remote countries first 
• ESG services: Contribute to delivering our Supply Chain Mapping and PO Traceability services

Scope of the Role:

• Focus on remote countries: Data analysis of key performance indicators to identify gaps and areas for improvement
• Training needs: Identify new and realignment requirements in collaboration with the Technical Team (Apparel inspections)
• Accelerate the completion of the revamped e-learning platform and align it with inspectors’ certification via the front-end
• Work closely with the Technical Team to prioritize and organize required training sessions
• Review country-specific reports and define action plans, with priority on remote countries
• Automation of One Sliders for inspections, priority remote countries first 
• ESG services: Contribute to delivering our Supply Chain Mapping and PO Traceability services

We are a single family office based in Singapore and Hong Kong. We are implementing a suite of internal programs already built and tested (currently hosted on Manus AI). These programs support core operational functions across:

• HR: hiring workflows, attendance, performance management, payroll processes
• Finance: consolidated and entity-level reporting dashboards, cashflow tracking, financing monitoring
• Legal: document generation and agreement documentation/recordkeeping
• Investments: portfolio performance dashboard and ongoing deal monitoring

The programs are functional and have been validated using dummy data. We are now preparing to deploy them using full, real-world data. We are seeking a hands-on technical professional to lead implementation, debugging, integration, and ongoing support, with strong judgment around sensitive data.

Role Summary

The Technical Implementation Lead will be responsible for productionizing existing workflows and ensuring they operate reliably with real data. The role requires strong execution capability across implementation, data integration, system hardening, and maintenance, with clear communication to non-technical stakeholders.

Key Responsibilities

• Lead production rollout of existing internal workflows and systems, including environment setup and release discipline
• Integrate and maintain data connections across HR, finance, legal, and investment workflows (imports, APIs, automated updates)
• Implement appropriate access controls, auditability, and secure handling of confidential data
• Debug workflow failures and integration issues; improve reliability, performance, and error handling
• Establish operational processes and documentation (system overview, data flows, runbooks, basic monitoring)
• Translate business requirements into technical execution plans and deliverables

Required Qualifications

• 5+ years of relevant experience in software engineering, solutions engineering, systems implementation, or internal tools development
• Demonstrated experience taking systems from prototype/pilot to production, including ongoing maintenance
• Strong problem-solving and debugging capability; able to diagnose issues across workflows, data, and integrations
• Experience building or integrating dashboards, workflow automation, and data pipelines (ETL/ELT)
• Strong awareness of data security practices when handling sensitive HR, financial, legal, and investment information
• Clear written and verbal communication; able to work effectively with non-technical leadership

Preferred Qualifications

• Experience implementing internal enterprise systems (HR, finance reporting, legal operations, investment operations)
• Familiarity with AI workflow or automation platforms (including Manus AI or similar) and integrating them with external data sources
• Working knowledge of cloud infrastructure, CI/CD, logging/monitoring, and modern deployment practices
• Experience with relational databases and data modeling (e.g., Postgres/MySQL) and API-based integrations

About Rapsodo

Rapsodo is a global sports technology company with offices in Singapore, the United States, Türkiye, Japan, and Malaysia. We build data-driven, portable, and easy-to-use sports analytics products that help athletes at every level understand and improve their performance. From Major League Baseball pitchers to professional golfers, our technology is trusted by athletes and coaches worldwide — from youth development to elite competition. Our products deliver real-time, actionable insights that directly impact performance.

We operate at the intersection of hardware and software, designing and building integrated systems with a strong emphasis on accuracy, reliability, and performance. Rapsodo is a globally distributed team, working across regions, cultures, and time zones. What enables us to operate effectively is not just technical capability, but how we work — with ownership, clarity, and disciplined execution.

About the Role

This is not a typical MBA internship.

You will work directly with the CEO to drive execution across the Rapsodo Device Organization — the team responsible for building Rapsodo’s core products. You will be operating at the center of a global engineering organization, helping ensure priorities are clear, teams are aligned, and critical initiatives move forward without friction.

This role is designed for candidates with an engineering background who want to transition toward technical project or program management, with real exposure to leadership and decision-making.

You will not be observing from the sidelines. You will be expected to contribute to execution from the start.

Strong performance in this role can lead to a full-time Technical Project Manager position within the CEO Office or Rapsodo Device Organization.

What You Will Work On

• Translate priorities into clear, structured execution plans across hardware, firmware, and software teams
• Maintain visibility on progress across critical initiatives and ensure momentum is sustained
• Coordinate across globally distributed teams to align on timelines, dependencies, and deliverables
• Run execution cadences (check-ins, reviews, follow-ups) to drive accountability
• Surface risks, bottlenecks, and misalignment early and help drive resolution
• Provide clear, concise updates to the CEO on progress, issues, and next steps
• Improve visibility and execution through simple, effective tracking and reporting systems
• Apply AI tools to improve visibility, identify patterns and risks early, and enhance the speed and quality of execution

Who Will Thrive in This Role

• An engineering background with a solid understanding of how products are built end-to-end
• Comfort operating across different cultures, time zones, and working styles
• Ability to bring structure to complexity and keep multiple workstreams aligned
• Strong sense of ownership, with consistent follow-through and a focus on closing loops
• Clear and direct communication, particularly when identifying issues or misalignment
• A focus on execution and outcomes rather than analysis alone
• Confidence working closely with leadership and operating in a high-expectation environment
• A mindset that prioritizes early signals over late surprises, with a preference for structured execution over reactive firefighting
• Curiosity about how AI can be applied to improve execution, decision-making, and product outcomes
• A proactive approach to leveraging AI tools to enhance productivity, insight generation, and workflow efficiency

Requirements

• Bachelor’s degree in Engineering (Electrical & Electronics, Mechanical, Computer Engineering or related fields)
• 3-5 years of hands-on engineering experience
• Currently pursuing or recently completed an MBA
• Ability to operate credibly with engineering teams from day one
• Familiarity with AI/ML concepts and practical experience using AI tools to improve analysis, workflows, or execution

About Rapsodo

Rapsodo is a global sports technology company with offices in Singapore, the United States, Türkiye, Japan, and Malaysia. We build data-driven, portable, and easy-to-use sports analytics products that help athletes at every level understand and improve their performance. From Major League Baseball pitchers to professional golfers, our technology is trusted by athletes and coaches worldwide — from youth development to elite competition. Our products deliver real-time, actionable insights that directly impact performance.

We operate at the intersection of hardware and software, designing and building integrated systems with a strong emphasis on accuracy, reliability, and performance. Rapsodo is a globally distributed team, working across regions, cultures, and time zones. What enables us to operate effectively is not just technical capability, but how we work — with ownership, clarity, and disciplined execution.

About the Role

This is not a typical MBA internship.

You will work directly with the CEO to drive execution across the Rapsodo Device Organization — the team responsible for building Rapsodo’s core products. You will be operating at the center of a global engineering organization, helping ensure priorities are clear, teams are aligned, and critical initiatives move forward without friction.

This role is designed for candidates with an engineering background who want to transition toward technical project or program management, with real exposure to leadership and decision-making.

You will not be observing from the sidelines. You will be expected to contribute to execution from the start.

Strong performance in this role can lead to a full-time Technical Project Manager position within the CEO Office or Rapsodo Device Organization.

What You Will Work On

• Translate priorities into clear, structured execution plans across hardware, firmware, and software teams
• Maintain visibility on progress across critical initiatives and ensure momentum is sustained
• Coordinate across globally distributed teams to align on timelines, dependencies, and deliverables
• Run execution cadences (check-ins, reviews, follow-ups) to drive accountability
• Surface risks, bottlenecks, and misalignment early and help drive resolution
• Provide clear, concise updates to the CEO on progress, issues, and next steps
• Improve visibility and execution through simple, effective tracking and reporting systems
• Apply AI tools to improve visibility, identify patterns and risks early, and enhance the speed and quality of execution

Who Will Thrive in This Role

• An engineering background with a solid understanding of how products are built end-to-end
• Comfort operating across different cultures, time zones, and working styles
• Ability to bring structure to complexity and keep multiple workstreams aligned
• Strong sense of ownership, with consistent follow-through and a focus on closing loops
• Clear and direct communication, particularly when identifying issues or misalignment
• A focus on execution and outcomes rather than analysis alone
• Confidence working closely with leadership and operating in a high-expectation environment
• A mindset that prioritizes early signals over late surprises, with a preference for structured execution over reactive firefighting
• Curiosity about how AI can be applied to improve execution, decision-making, and product outcomes
• A proactive approach to leveraging AI tools to enhance productivity, insight generation, and workflow efficiency

Requirements

• Bachelor’s degree in Engineering (Electrical & Electronics, Mechanical, Computer Engineering or related fields)
• 3-5 years of hands-on engineering experience
• Currently pursuing or recently completed an MBA
• Ability to operate credibly with engineering teams from day one
• Familiarity with AI/ML concepts and practical experience using AI tools to improve analysis, workflows, or execution

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.

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 

• Coordination for Quality Metric activities
  • Work with stakeholders to collect data for monthly quality status report.
  • Consolidate and analyze project data to seek for improvement area.
  • Support in Quality Dashboard/Report/Automation topic.
• Coordination for Quality Audit activities:
  • Communicate with stakeholders to plan and arrange audit schedule.
  • Support for OPLs follow-up and create audit status report.
  • Administration support for internal trainings: facility check, material preparation, etc.
• Other task assigned by Quality Audit & Metric team