




Job Summary: We are seeking a results-oriented Data Analyst to transform data into valuable insights, with strong analytical skills and initiative to automate processes. Key Highlights: 1. Opportunity for professional growth 2. Participation in technology projects 3. Positive work environment We are looking for a results-oriented **Data Analyst** with technical expertise in database management, automation, and dashboard creation to help us transform data into valuable information for decision-making. The ideal candidate will possess strong analytical capabilities, initiative to automate processes, and experience working with data from diverse sources. Main Responsibilities * Analyze, process, and validate data from various sources. * Design and maintain dashboards and key performance indicators (KPIs). * Write MySQL database queries for data extraction and analysis. * Automate data update processes using Python and Google Cloud tools. * Manage and optimize spreadsheets in Google Sheets. * Support the development and integration of web-based solutions related to data analysis. * Generate periodic reports for different departments within the company. * Identify improvement opportunities through data analysis. Requirements **Mandatory:** * Proficiency in MySQL databases (queries, joins, filters, etc.) * Intermediate or advanced proficiency in Google Sheets * Basic knowledge of Python * Knowledge of web development (HTML, CSS, JavaScript or similar) * Strong analytical ability and results orientation **Preferred:** * Experience creating dashboards with Power BI and/or Looker Studio * Knowledge of Google Cloud Platform * Experience in process automation * Prior experience in similar roles Competencies * Analytical thinking * Organization and attention to detail * Proactivity * Problem-solving ability * Teamwork We Offer * Opportunity for professional growth * Positive work environment * Participation in technology projects * Job stability Employment Type: Full-time Salary: S/.2,500.00 \- S/.3,500.00 per month Work Location: On-site employment


