SQL Engineer - Argentina
SQL Engineer - Argentina
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4-5years
$ 700 - 1000
1 Vacancy
Job Description
This is a remote position.
- Develop optimize and maintain complex SQL queries for data extraction transformation and analysis.
- Design and automate reporting dashboards to track sales performance and key business metrics.
- Analyze and interpret P&L statements to provide strategic recommendations.
- Work with stakeholders to identify data requirements and create tailored reports.
- Ensure data integrity and accuracy across databases and reporting platforms.
- Identify trends in sales inventory and financial performance to drive business improvements.
Requirements
- 3 years of experience as an SQL Engineer Data Analyst or related role.
- Advanced proficiency in SQL (query optimization indexing stored procedures).
- Strong experience working with databases such as PostgreSQL MySQL SQL Server or Oracle.
- Familiarity with ETL processes and data warehousing platforms (e.g. Snowflake BigQuery Redshift).
- Proficiency with BI and visualization tools like Looker Power BI or Tableau.
- Experience with financial reporting including interpreting and analyzing P&L statements.
- Strong understanding of retail and sales performance metrics.
- Ability to work independently in EST time zone hours.
- Strong problemsolving skills and ability to communicate technical insights to nontechnical stakeholders.
- Experience with Python or R for data analysis and automation.
- Knowledge of cloudbased data services (AWS GCP or Azure).
- Prior experience in a fastpaced startup or retail analytics environment.
Must Haves: 3+ years of experience as an SQL Engineer, Data Analyst, or related role. Advanced proficiency in SQL (query optimization, indexing, stored procedures). Strong experience working with databases such as PostgreSQL, MySQL, SQL Server, or Oracle. Familiarity with ETL processes and data warehousing platforms (e.g., Snowflake, BigQuery, Redshift). Proficiency with BI and visualization tools like Looker, Power BI, or Tableau. Experience with financial reporting, including interpreting and analyzing P&L statements. Strong understanding of retail and sales performance metrics. Ability to work independently in EST time zone hours. Strong problem-solving skills and ability to communicate technical insights to non-technical stakeholders. Nice to Haves: Experience with Python or R for data analysis and automation. Knowledge of cloud-based data services (AWS, GCP, or Azure). Prior experience in a fast-paced startup or retail analytics environment.
Education
Degree
Employment Type
Full Time
