Audit Data Analytics Intern
City of Singapore
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- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingExtract, transform and model data from finance, commercial and HR data lakes
Gather analysis needs for audit missions and departmental digitalization projects
Assist in building analyses and dashboards
Standardize analyses and assets for reuse in future audits
Explore AI and GenAI topics to improve existing processes
From the employer’s posting
Extract, transform, and model data from various data foundations/lakes including finance, commercial, and human resources
Support audit missions and departmental digitalization projects by collecting analysis needs
Assist in conducting analyses and building dashboards
Standardize and industrialize analyses and assets for reuse in future audits and projects
explore innovative topics like AI and GenAI
What you’ll bring
All qualificationsCore experience
- Enrolled in a Bachelor's or Master's degree program in Data Science
- Hands-on experience or knowledge of data analysis techniques and tools
- Power BI or equivalent visualization tools
- Good understanding of data lake technologies
Qualification wording
as part of your Bachelor’s or Master’s degree program in Data Science
Hands-on experience or knowledge of data analysis techniques and tools
Power BI or equivalent visualization tools
A good understanding of data lake technologies
Education & alternatives
About you You are looking for an internship (approximately six-month), as part of your Bachelor’s or Master’s degree program in Data Science. Technical skills:
Tools in this posting
- Python
- R
- SQL
- Power BI
Source — Tool mentions in context
· A good understanding of data lake technologies · Knowledge of statistics and functional/programming language (e.g. M, DAX, R, Python, SQL, etc.) is appreciated. Soft skills:
· Hands-on experience or knowledge of data analysis techniques and tools · Power BI or equivalent visualization tools · A good understanding of data lake technologies
Posting record
Report an errorMay be filledThe employer has taken this posting down, so the role may be filled. Check their website before applying.
- Status in our records
- No longer listed
- First seen by us
- Oct 13, 2026 · 16 days ago
- Recorded sightings
- 57
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
About the job
Our Team:
Sanofi Internal Audit (SIA) reports hierarchically to the Chief Executive Officer and functionally to the Chairwoman of the Audit Committee. SIA’s mission is to provide the Executive Committee and the Audit Committee with independent and objective reasonable assurance, regarding the Company’s ability to control its operations. SIA helps Sanofi execute its strategy and achieve business objectives by assessing and improving the effectiveness of Sanofi’s governance, risk management, and control processes. SIA commits to alert management on significant risks and to monitor their effective mitigation.
The Digitalization and Data Analytics Team is an expertise center within the Sanofi Internal Audit that actively contributes to the development and implementation of digitalization and data analytical activities for the global SIA team.
Main responsibilities:
Your responsibilities will consist of providing data support to the SIA by:
· Gathering Requirements: Support audit missions and departmental digitalization projects by collecting analysis needs.
· Data Processing: Extract, transform, and model data from various data foundations/lakes including finance, commercial, and human resources.
· Data Visualization: Assist in conducting analyses and building dashboards.
· Industrialization: Standardize and industrialize analyses and assets for reuse in future audits and projects.
· Innovation & AI: Contribute to improving existing processes and explore innovative topics like AI and GenAI.
· Collaboration: Work closely with audit teams and other stakeholders.
About you
You are looking for an internship (approximately six-month), as part of your Bachelor’s or Master’s degree program in Data Science.
Technical skills:
· Hands-on experience or knowledge of data analysis techniques and tools
· Power BI or equivalent visualization tools
· A good understanding of data lake technologies
· Knowledge of statistics and functional/programming language (e.g. M, DAX, R, Python, SQL, etc.) is appreciated.
Soft skills:
· You are recognized for your good interpersonal skills and ability to adapt.
· You enjoy working in a team.
· You are curious about data and keen to learn how different business areas use it.
· Your natural appetite for the field of data allows you to easily understand the data models associated with the different areas of the company (Finance, R&D, customer relations, etc.)
If you want to apply your studies in a global company as part of your degree program, we would be pleased to receive your application.
Our Values
At Sanofi, we are guided by four values: Aim Higher, Act for Patients, Be Bold and Lead Together. As an Audit Data Analytics Intern, you will bring these to life through your work, from delivering data-driven insights to proposing new analytical approaches and collaborating openly with auditors and business partners.
Pursue progress, discover extraordinary
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
Pursue progress, discover extraordinary
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
City of Singapore
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
More source context
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
AI answers unavailable
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting