Data Analyst
Job Description
We are seeking a detail-oriented Data Analyst who can transform complex data into actionable insights. This role requires strong expertise in advanced SQL, cloud data warehouse environments, and dynamic dashboard creation. You will help drive data-informed decision-making by analyzing large datasets, resolving data issues, and presenting clear findings to stakeholders.
Enterprise experience strongly preferred.
Key Responsibilities
- Write advanced SQL queries, including complex joins and data transformations
- Work within Snowflake or similar cloud data warehouse environments
- Build dashboards, reports, and visualizations that support business decision-making
- Perform spreadsheet-based analysis using tools such as Excel or Google Sheets, including pivot tables
- Troubleshoot data quality and data integrity issues and identify inconsistencies
- Use AI or machine learning tools to analyze large datasets efficiently
- Partner cross-functionally with stakeholders to deliver clear, actionable reporting
- Translate complex data findings into concise business insights
Qualifications
Must-Have Skills
- Advanced proficiency in SQL
- Experience with complex queries, joins, and data transformations
- Hands-on experience with Snowflake or a similar cloud data warehouse
- Strong experience with pivot tables and spreadsheet-based analysis
- Experience troubleshooting data quality and data integrity issues
- Experience using AI or machine learning tools to analyze large datasets
- Proficiency with at least one data visualization platform such as Tableau, Power BI, or Looker
- Strong analytical thinking and problem-solving skills
- Excellent communication skills and ability to present insights clearly to stakeholders
- Bachelor’s degree in Data Analytics, Computer Science, Statistics, or a related field, or equivalent experience
Required Tools & Platforms
- SQL
- Snowflake or similar cloud data warehouse
- Excel or Google Sheets
- Tableau, Power BI, or Looker
- AI or machine learning-enabled analysis tools
Additional Information
Location, Time & Engagement
- Location: LATAM
- Engagement: Contract
- Allocation: Full-time
We are seeking a detail-oriented Data Analyst who can transform complex data into actionable insights. This role requires strong expertise in advanced SQL, cloud data warehouse environments, and dynamic dashboard creation. You will help drive data-informed decision-making by analyzing large datasets, resolving data issues, and presenting clear findings to stakeholders.
Enterprise experience strongly preferred.
Key Responsibilities
- Write advanced SQL queries, including complex joins and data transformations
- Work within Snowflake or similar cloud data warehouse environments
- Build dashboards, reports, and visualizations that support business decision-making
- Perform spreadsheet-based analysis using tools such as Excel or Google Sheets, including pivot tables
- Troubleshoot data quality and data integrity issues and identify inconsistencies
- Use AI or machine learning tools to analyze large datasets efficiently
- Partner cross-functionally with stakeholders to deliver clear, actionable reporting
- Translate complex data findings into concise business insights
Qualifications
Must-Have Skills
- Advanced proficiency in SQL
- Experience with complex queries, joins, and data transformations
- Hands-on experience with Snowflake or a similar cloud data warehouse
- Strong experience with pivot tables and spreadsheet-based analysis
- Experience troubleshooting data quality and data integrity issues
- Experience using AI or machine learning tools to analyze large datasets
- Proficiency with at least one data visualization platform such as Tableau, Power BI, or Looker
- Strong analytical thinking and problem-solving skills
- Excellent communication skills and ability to present insights clearly to stakeholders
- Bachelor’s degree in Data Analytics, Computer Science, Statistics, or a related field, or equivalent experience
Required Tools & Platforms
- SQL
- Snowflake or similar cloud data warehouse
- Excel or Google Sheets
- Tableau, Power BI, or Looker
- AI or machine learning-enabled analysis tools
Additional Information
Location, Time & Engagement
- Location: LATAM
- Engagement: Contract
- Allocation: Full-time