Data Analyst Intern (Clinical & Product Evaluation)

We are EssilorLuxottica, a global leader in the design, manufacture and distribution of ophthalmic lenses, frames and sunglasses. The Company brings together the complementary expertise of two industry pioneers, one in advanced lens technologies and the other in the craftsmanship of iconic eyewear, to create a vertically integrated business that is uniquely positioned to address the world’s evolving vision needs and the global demand of a growing eyewear industry.

With over 200,000 dedicated employees in 150 countries driving our iconic brands, our people are creative, entrepreneurial and celebrated for their unique perspectives and individuality. Committed to vision, we enable people to “see more and be more” thanks to our innovative designs and lens technologies, exceptional quality and cutting-edge processing methods. Every day we impact the lives of millions by changing the way people see the world.

• Expected results: Clean, documented datasets; reproducible analysis scripts; accurate tables and figures; and clear summaries of findings through presentations or reports.

• Challenges: Working with incomplete or inconsistent clinical trial data, managing multiple tasks and timelines, and maintaining accuracy, traceability and confidentiality.

• Success factors: Sound statistical fundamentals, careful coding and documentation, attention to detail, and clear communication, including seeking timely guidance when uncertain.

AREAS OF RESPONSIBILITIES AND RELATED ACTIVITIES:

• Clinical Trial Data Support: Assist with data entry, dataset preparation and routine quality checks; identify missing values, inconsistencies and outliers; support query tracking and resolution with the clinical team; maintain study data documentation and progress trackers.

• Statistical Analysis and Programming: Use R and/or Python to clean, merge and transform datasets, generate descriptive statistics, tables and plots, and assist with statistical tests and exploratory analyses under supervision and in line with approved analysis plans. Document and check scripts to support reproducible results.

• Research and Reporting: Review assigned literature and analysis methods, prepare concise summaries, and support presentations and reports. Explain findings clearly, flag data limitations, and handle participant information in accordance with GCP and personal data protection requirements.

KEY REQUIREMENTS:

• Currently pursuing a undergraduate in Data Analytics, Data Science, Statistics, Applied AI, Information Technology or a related discipline.

• Able to commit for a minimum of 6 Months (Jan - Jun/Jul, 2027)

• Foundational statistical knowledge, including descriptive statistics, hypothesis testing, confidence intervals, correlation and basic regression.

• Proficient in R and/or Python for data cleaning, manipulation, statistical analysis and visualization; able to write clear, documented scripts.

• Proficiency in Microsoft Excel, Word and PowerPoint; familiarity with R packages (e.g., dplyr, tidyr, ggplot2) or Python libraries (e.g., pandas, NumPy, SciPy, matplotlib) is an advantage.

• Interest in clinical research, healthcare data and vision science; willing to learn clinical trial terminology, study design and GCP principles.

• Able to interpret data outputs, communicate findings clearly, and seek guidance on statistical methods and clinical interpretation.

• Attentive and meticulous in data handling, quality checks and documentation; respects confidentiality and follows approved data access procedures.

• Reliable, well-organized and eager to learn, with good problem-solving and communication skills and the ability to work independently or collaboratively within a team.

Our recruitment process may vary; If you are selected, you will be contacted by our recruiters to guide you through the specific steps for your application.

We are committed to creating an inclusive environment for all employees. We celebrate diversity and provide equal opportunities to all, regardless of race, gender, ethnicity, religion, disability, sexual orientation, or any other characteristic that makes us unique.