Intern : Data & Analytics Specialist

Roche Services & Solutions Operations APAC

Selangor

Hybrid

MYR 13,000 - 27,000

Full time

3 days ago
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Benefits offered by this job

Mentorship from IT/data/digital-innov
Hands-on AI analytics & automation
Portfolio development

Job summary

Roche Services & Solutions Operations APAC seeks three Data Analytics & Process Automation Interns to join Roche Digital Technology. You will design, develop, and implement comprehensive data analytics dashboards enhanced with AI-driven insights, while also analyzing and automating existing business workflows.

You will work with large datasets using SQL and Python; build visualizations with Tableau or Power BI; explore AI capabilities such as LLMs and IDP to generate automated insights, trend

Qualifications

  • Pursuing a Bachelor's degree in a related field (as listed).
  • Proficiency in SQL for querying and data management.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Strong programming foundations in Python and data libraries (Pandas, NumPy).
  • Experience with AI, ML models, LLMs, or process automation is a plus.
  • Strong analytical and problem-solving skills.
  • Excellent teamwork, communication, and presentation skills.

Responsibilities

  • Collaborate with cross-functional teams to analyze dashboard requirements and map processes.
  • Process large volumes of data using SQL, Python, and data manipulation tools.
  • Design, build, and deploy interactive data visualizations with Tableau or Power BI.
  • Integrate AI-assisted analytics (LLMs, NLP) to generate automated insights and forecasts.
  • Develop automated workflows using Python, REST APIs, or Power Automate.
  • Ensure data quality and reliable automated execution through testing and validation.
  • Document development processes and present findings clearly to stakeholders.

Skills

Analytical thinking
Teamwork
Communication
Problem-solving
Presentation skills

Education

Bachelor's degree in Computer Science, Data Science, Software Engineering, Statistics, IT

Tools

SQL
Python
Tableau
Power BI
Pandas/NumPy
LLMs
REST APIs
UiPath/Power Automate

Job description

Roche Services & Solutions Operations APAC 4.1 View all jobs

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position
Internship Overview

We are seeking three enthusiastic and driven Data Analytics & Process Automation Interns to join our Roche Digital Technology team. In this dual-impact role, you will collaborate as a team to design, develop, and implement comprehensive data analytics dashboards enhanced with AI-driven insights, while also analyzing and automating existing business workflows. You will work with large datasets and modern AI capabilities to transform complex data into actionable insights and streamline operational processes that support personalized healthcare decisions.

Key Responsibilities
  • Collaborate closely with cross-functional teams to analyze dashboard requirements, map existing business processes, and identify automation opportunities.
  • Analyze and process large volumes of pharmaceutical data using SQL, Python, and advanced data manipulation tools.
  • Design, build, and deploy interactive data visualizations using tools like Tableau or Power BI.
  • Integrate AI-assisted analytics and intelligence- such as predictive modeling, AI/NLP features, Large Language Models (LLMs), or Intelligent Document Processing (IDP)- to generate automated insights, trend forecasting, and advanced health data analysis.
  • Design, build, and test automated workflows using scripting (Python, REST APIs) or workflow automation tools (e.g., Power Automate) to reduce manual task overhead.
  • Perform data cleaning, statistical analysis, and system optimization to ensure high data quality and reliable automated execution.
  • Document development processes, process maps, and technical architecture, presenting findings and completed projects clearly to stakeholders.
Qualifications & Requirements
  • Currently pursuing a Bachelor's degree in Computer Science, Data Science, Software Engineering, Statistics, Information Technology, or a related field.
  • Proficiency in SQL for database querying and data management.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Solid programming foundations in Python and familiarity with data libraries (e.g., Pandas, NumPy) or API integrations.
  • Advantage: Hands-on project experience with artificial intelligence, machine learning models, LLM frameworks (e.g., OpenAI API, LangChain), or process automation tools (e.g., Power Automate, UiPath).
  • Strong analytical, algorithmic, and problem-solving skills.
  • Excellent teamwork, communication, and presentation skills.
Benefits
  • Direct mentorship from experienced IT, data, and digital innovation professionals.
  • Hands-on experience building both AI-driven analytics dashboards and enterprise automation solutions at Roche Digital Technology.
  • Opportunity to develop a high-impact professional portfolio spanning AI, data analytics, and software automation.
Who we are

A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let's build a healthier future, together.

Roche is an Equal Opportunity Employer.

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