Data Analyst vacancy in Braga Portugal

nationalities

Job Title: Data Analyst


We are seeking a highly skilled Data Analyst to join our dynamic team in Braga, Portugal. As a Data Analyst, you will be responsible for analyzing large and complex datasets to identify patterns, trends, and insights that will inform business decisions.

Responsibilities:
- Collect and analyze data from multiple sources to identify trends and patterns
- Develop and maintain databases to store and organize data
- Create visualizations and reports to present findings to stakeholders
- Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations
- Identify areas for process improvement based on data analysis
- Monitor data quality and resolve any discrepancies or issues

Requirements:
- Bachelor's degree in Computer Science, Statistics, or related field
- Proven experience as a Data Analyst or similar role
- Proficiency in SQL and database management systems (e.g. MySQL, Oracle)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Experience with data visualization tools (e.g. Tableau, Power BI)
- Knowledge of programming languages such as Python or R is a plus
- Excellent communication skills with the ability to effectively communicate complex data concepts to non-technical stakeholders

Salary:
Starting salary for this position is $1600 per month. Accommodation will be provided for the first three months of employment. We also offer free visa sponsorship and airfare for candidates from all nationalities.

Location:
This position is located in Braga, Portugal. Known for its historic landmarks and modern infrastructure, Braga offers a high quality of life with affordable living costs.

If you are a passionate Data Analyst looking for an exciting opportunity in an international company, we encourage you to apply for this position. Join our team at [company name] and play a key role in driving informed decision-making through data analysis.