Junior Data Analyst (Entry / Junior Level)
Remote · Part Time
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- Expérience
- N'importe lequel
- Salaire
- —
- Ouvertures
- 1
- Publié
- il y a 3 heures
- Work mode
- Travaillez à domicile
- Éducation
- Degree or ongoing studies in Data Science, Statistics, Mathematics, Computer Science, Pharmacy, or related field
- Eligibility
- Candidates pursuing or holding a degree in Data Science, Statistics, Mathematics, Computer Science, Pharmacy, or a related field may apply. The role is best suited to applicants with an interest in pharmaceutical or healthcare data and the ability to work remotely.
- Resume
- Required to apply
Description de l'emploi
Role overview
This part-time remote position is for a Junior Data Analyst who will help teams make better decisions using data from manufacturing, quality, and commercial functions. The role is suited to an entry-level professional who is comfortable working in a structured, regulated environment.
What you will do
- Gather data from internal systems and reports, then tidy, arrange, and maintain it for analysis.
- Carry out basic analytical work to spot trends, patterns, and notable changes in the data.
- Support the creation of dashboards and visual summaries for internal reporting.
- Review production, quality, and market-related metrics and turn them into concise takeaways for the team.
- Work with different stakeholders to keep data accurate and useful for decision-making.
- Record findings clearly and contribute to process-improvement activities.
Skills and qualifications
The ideal candidate should bring a strong analytical mindset, basic grounding in statistics, and an understanding of how to organize data models for business use. Clear communication is important, along with the ability to share insights with both technical and non-technical audiences.
Additional preferences
Experience with spreadsheet applications and data visualization tools will be helpful. The role also favors candidates who are detail-oriented, able to work independently in a remote setup, and interested in data related to pharmaceuticals or healthcare.
Education
A degree or current study in Data Science, Statistics, Mathematics, Computer Science, Pharmacy, or a closely related subject is preferred.