Senior Data Analyst

Description

Job Summary: A professional who transforms data into strategic information, developing analyses, dashboards, and automations to enhance operational efficiency and business intelligence. Key Highlights: 1. Transform data into strategic information for decision-making. 2. Develop analyses, dashboards, and automations to improve efficiency. 3. Act as a bridge between technology, processes, and strategy. Responsible for transforming data into strategic information for decision-making by developing analyses, dashboards, automations, and tools that increase operational efficiency, information governance, and business intelligence. The Data Analyst serves as a bridge between technology, processes, and strategy, ensuring the company uses its data in a structured, reliable, and results-oriented manner. **Responsibilities:** **1 Data Analysis and Business Intelligence** * Collect, process, and analyze data from internal systems (ERP, CRM, digital platforms, and databases); * Identify patterns, trends, opportunities, and risks in the data; * Produce analyses supporting strategic, operational, and commercial decisions; * Develop analytical reports and performance indicators. **2 Business Intelligence (BI) Development** * Create and maintain managerial and operational dashboards; * Structure data models for performance analysis; * Ensure data reliability, consistency, and timeliness; * Implement visualizations that facilitate data interpretation by leadership. **3 Process and Data Automation** * Develop automations to eliminate repetitive manual tasks; * Integrate data across systems and platforms; * Create automated routines for report updates; * Implement scripts or tools to optimize operational processes. **4 Internal Tools and Solutions Development** * Build internal tools to simplify data analysis and management; * Develop simple applications for indicator management; * Structure organized corporate databases; * Support technological innovation and operational intelligence projects. **5 Data Governance and Quality** * Ensure data quality, integrity, and consistency; * Establish standards for data storage and usage; * Support the creation of data governance policies; * Standardize corporate indicators and metrics. **6 Decision-Making Support** * Translate complex data into clear insights for managers; * Support departments including Sales, Logistics, Procurement, Finance, Marketing, and Operations; * Participate in strategic projects by providing analytical intelligence. **Required Qualifications:** **Technical Skills** Data Tools * SQL; * Advanced Excel / Google Sheets; * Power BI / Tableau / Looker; * Data modeling. Automation and Technology * Python (desirable); * APIs and integrations; * ETL; * Automation scripts. Databases * Database structuring; * Data manipulation and cleansing. **Behavioral Competencies** * Analytical thinking; * Organization and discipline; * Clear data communication; * Investigative curiosity; * Proactive problem-solving; * Results orientation; * Cross-functional collaboration. **This professional must be capable of developing:** * Executive dashboard for the company; * Sales performance dashboard; * Customer profitability analysis; * Logistics efficiency indicators; * Team productivity dashboard; * Automation of recurring reports; * Data integration across systems.