SQL ENGINEER - COLOMBIA

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This is a remote position. Job Summary: We are seeking a highly analytical and business-savvy SQL Engineer with a strong retail background and expertise in financial metrics, particularly Profit & Loss (P&L) statements. This role requires a deep understanding of sales reports, key business metrics, and the ability to transform raw data into actionable insights. The ideal candidate will work closely with cross-functional teams to optimize reporting, improve data integrity, and support strategic decision-making through data-driven analysis. Core Tasks: 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. Analyse 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 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.

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