Junior Data Analyst

Description

Job Summary: A data professional to develop ETL processes, manage databases, model data, create Power BI dashboards, and automate analyses using Python. Key Highlights: 1. Opportunity for growth and specialization in the data field 2. Learning and development environment 3. Continuous improvement of analytical and data integration processes **RESPONSIBILITIES:** Develop and maintain ETL processes/data pipelines, performing extraction, cleaning, and transformation; Execute database queries (SQL) and ensure data integrity; Support data modeling across various structures (schemas, normalization, dimensions); Work with concepts of data lakes, data warehouses, and lakehouse; Create and update dashboards and reports in Power BI; Automate tasks and analyses using Python; Contribute to the continuous improvement of analytical and data integration processes. **Requirements** Proficiency in Python for data manipulation and analysis; Experience with SQL and relational databases; Hands-on experience with ETL/data pipeline processes (extraction, cleaning, transformation); Knowledge of Power BI (report and dashboard development); Intermediate-level spreadsheet skills; Familiarity with data lakes, warehouses, and lakehouse, as well as data modeling concepts. **Preferred Qualifications** Practical experience in corporate or academic data projects; Basic knowledge of statistics or machine learning; Familiarity with other visualization tools or cloud platforms. **What We Offer** Market-competitive salary; Benefits: Gympass, Meal Allowance; Learning and development environment; Opportunity for growth and specialization in the data field. ;