DATA SCIENTIST

Description

Job Summary: A professional responsible for extracting, consolidating, and transforming data, developing dashboards and analytical reports, ensuring data quality and integrity to support decision-making. Key Highlights: 1. Data extraction, consolidation, and transformation from multiple systems 2. Development of executive dashboards and analytical reports 3. Exploratory and diagnostic analyses to identify opportunities **Job Description:** ---------------------- Extract, consolidate, and transform data from multiple corporate systems. Develop and maintain executive dashboards and analytical reports to support managerial and executive decision-making. Map and understand data flows between systems, ensuring data quality, consistency, and integrity. Conduct exploratory and diagnostic analyses to identify patterns, anomalies, and business opportunities. Translate business requirements into analytical specifications by gathering requirements from stakeholders. Design data models and storage structures to support recurring analyses. Automate data extraction, cleaning, and processing tasks, reducing manual rework. Support data integration and synchronization across systems to ensure a single source of business visibility. Document methodologies, analytical processes, and data dictionaries for knowledge maintenance and dissemination. Collaborate with business areas (Sales, Production, HR, Finance) in defining KPIs and performance metrics. Present findings and recommendations to leadership, communicating insights clearly and objectively. **Mandatory Requirements:** ------------------------------ Strong analytical ability and problem-solving orientation. Proactivity and autonomy in identifying analytical opportunities. Good communication skills and the ability to translate technical complexities into business language. Organizational ability, demand prioritization, and capacity to work under pressure. Commitment to quality, attention to detail, and analytical rigor. Collaborativeness and ability to work effectively in multidisciplinary teams. Intellectual curiosity and continuous willingness to learn new technologies. **Desirable Requirements:** -------------------------- Bachelor’s degree completed in Computer Science, Information Systems, Engineering, Statistics, Administration, or related fields. Proven experience in data analysis, Business Intelligence, or Data Science (minimum 3 years). Advanced proficiency in SQL for complex queries, data transformation, and modeling in relational databases (SQL Server, PostgreSQL, or similar). Experience with data visualization tools (Power BI, Tableau, Looker, or similar). Knowledge of ETL (Extract, Transform, Load) and data pipelines. Proficiency in at least one programming/scripting language (Python, R, DAX, or similar). Practical experience with ERP systems (preferably SAP Business One) and understanding of business processes in industrial/manufacturing environments. Knowledge of production processes, HR management, and logistics operations will be considered advantageous. Familiarity with machine learning, predictive analytics, or statistical modeling will be considered advantageous. Experience integrating data from multiple sources and consolidating information. **Employment Type:** -------------------------- CLT **PCD:** -------- INDIFFERENT **Benefits:** --------------- Life Insurance Transportation Allowance Rest Room Unimed Health Plan On-site Cafeteria Parking Pharmacy Benefit Game Room Meal Voucher Service Anniversary Bonus Dental Uni Dental Plan **Work Location:** ---------------------- EMBRART **Working Hours:** ------------------------ 08:00 to 18:00