Data Analytics Assistant
The Data Analytics Assistant will be responsible for assisting in the collection, organization, and analysis of large datasets to support business decisions and strategies. This is a part-time position suitable for students or individuals without prior experience in data analytics. The successful candidate will be based in Faro, Portugal and will receive a salary of 1300$ per month, along with accommodation provided.
Key Responsibilities:
- Assist in data collection and entry from various sources
- Support in organizing and managing large datasets
- Conduct basic data analysis using tools such as Excel or Tableau
- Help identify patterns and trends within the data to support decision-making
- Collaborate with team members to develop reports and dashboards
- Perform quality checks on data to ensure accuracy and completeness
- Provide support for ad-hoc data requests from different departments
Requirements:
- Currently enrolled in a relevant degree program or recent graduate in a related field (e.g. Business Analytics, Mathematics, Computer Science)
- Strong analytical skills with the ability to interpret large amounts of data
- Proficiency in Microsoft Excel or other analytical tools is preferred
- Excellent attention to detail and ability to work with accuracy
- Strong communication skills and ability to work well within a team environment
- Ability to handle multiple tasks and prioritize effectively
Preferred Qualities:
- Knowledge of statistical techniques and experience with statistical software (e.g. SPSS, R)
- Familiarity with database management systems (e.g. SQL)
- Understanding of basic programming concepts (e.g. Python)
- Prior experience working with data in an academic or professional setting would be an asset
If you are looking for an opportunity to gain hands-on experience in the field of data analytics while pursuing your studies, this is the perfect role for you! Join our dynamic team in Faro and make valuable contributions towards our business goals through your strong analytical skills and attention to detail. Apply now and kickstart your career in data analytics!
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views: 5.7K
valid through: 2025-10-08