Data Analyst
New
P
Prometeo TalentMarketing analytics
Source API remote eligibility restrictions: GuatemalaFull-TimeEntry
Salary not disclosed
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Job Details
- Languages
- Advanced English level (written and spoken).
- Experience
- 0–4 years of experience in Data Analytics, Reporting, Business Intelligence, or similar analytical roles.
- Required Skills
- PythonSQLBusiness IntelligenceData AnalysisData visualizationData analytics
Requirements
- Have 0–4 years of experience in Data Analytics, Reporting, Business Intelligence, or similar analytical roles.
- Have an advanced level of written and spoken English.
- Demonstrate strong SQL skills, including joins, filtering, aggregations, GROUP BY statements, and conditional logic.
- Understand relational databases, table relationships, and data structures.
- Have experience working with large datasets and performing data validation.
- Be able to identify trends, anomalies, and meaningful business insights from data.
- Hold a bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, Engineering, or a related quantitative field.
- Nice to have experience with Common Table Expressions (CTEs), subqueries, or window functions.
- Nice to have experience with consumer, retail, panel, transactional, or market research datasets.
- Familiarity with Power BI, Looker, Tableau, or similar data visualization tools is a plus.
- Text data cleaning, categorization, or string manipulation experience is a plus.
- Basic Python knowledge for data manipulation and analysis is a plus.
Responsibilities
- Extract, query, and manipulate data using SQL from relational databases and cloud data warehouses.
- Analyze large transactional and consumer datasets to identify trends, patterns, and business insights.
- Build and maintain structured datasets that support recurring reports and business analyses.
- Calculate household penetration, market share, purchasing behavior, and category trends.
- Clean and categorize raw and semi-structured data as needed.
- Validate data outputs and perform quality checks to ensure data accuracy and integrity.
- Collaborate with internal teams to support reporting needs and answer business questions through data.
- Translate complex datasets into clear findings and recommendations.
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