Data Analyst

Description

Job Summary: We are seeking a Data Analyst to design, implement, and optimize data pipelines, manage data quality, and collaborate on data model and automation development. Key Highlights: 1. Data pipeline and Data Warehouse/Data Lake design and implementation 2. Data quality and performance management with best practices 3. Power BI/Fabric report development and maintenance We are looking for a Data Analyst responsible for: **Key Responsibilities** * Designing, implementing, and optimizing data pipelines as well as the corporate Data Warehouse/Data Lake. * Managing data quality, availability, and performance by applying engineering best practices, documentation, and version control. * Collaborating with BI, analytics, and key user teams to gather requirements and develop data models and automations (Python). * Operational efficiency. * Developing and maintaining reports in Power BI/Fabric, ensuring accurate visualization of KPIs. **Requirements** * **Education:** Completed university degree (bachelor's or graduate) in Systems Engineering, Economics, Statistics, Administration, or related fields. * **Specialization:** Courses or specialization in Business Intelligence, Business Analytics, or Digital Analytics. * **Technical Knowledge:** * Advanced proficiency in Power BI/Fabric (data modeling, dashboards, and DAX). * Solid experience with Python (data processing, automation, and ETL). * Knowledge of SQL, data modeling, and relational and non-relational databases. * **Computer Tools:** Advanced proficiency in Power BI, SQL, Excel, and Python. * **Experience:** Minimum 3 years in similar positions. Employment Type: Full-time Application Question(s): * Indicate your place of residence * Indicate your salary expectation * Do you have immediate availability? Are you currently employed? * Detail your experience in the technology field * Indicate your proficiency level in Power BI, SQL, Excel, and Python. * Indicate your availability for on-site work Monday through Friday from 8:45 am \- 6 pm Experience: * Position: 3 years (Preferred) Work Location: On-site employment