The company is looking for a data analyst to extract, cleanse, and analyze data from multiple sources to identify trends, uncover patterns, and provide valuable business insights for strategic decision-making.
Requirements
- Hands-on experience with SQL and solid understanding of relational databases.
- Familiarity with systems like MySQL, PostgreSQL, or MS SQL Server is advantageous.
- Practical experience using data visualization platforms (e.g., Tableau).
- Competency in programming languages for data tasks, such as Python or R.
- Exposure to cloud-based data warehouse environments (e.g., Amazon Redshift, Google BigQuery, or Microsoft Azure Data Solutions) is considered a plus.
Responsibilities
- Extract and compile data from multiple sources, including APIs, databases, and spreadsheets.
- Perform data cleansing and transformation to maintain high data quality.
- Identify and resolve inconsistencies, such as outliers, missing entries, or duplicates.
- Build interactive dashboards and visuals to communicate trends and performance indicators.
- Deliver clear, concise analysis reports to guide strategic decision-making.
- Track business metrics and assist in the continuous improvement of data processes.
Other
- Job opportunity only available for Latin America residents.
- Strong command of English (Upper-Intermediate/B2 level or above).
- Critical Thinker: You enjoy working with data to uncover patterns, trends, and valuable business insights.
- Data Handling Expertise: You are confident working with data from multiple sources and consolidating it for analysis.
- Accuracy-Focused: You approach tasks with precision and care, ensuring data integrity throughout your work.
