Junior Data Analyst

Description

Job Summary: Professional responsible for developing and maintaining ETL/data pipeline processes, performing SQL queries, supporting data modeling, and creating Power BI dashboards. Key Highlights: 1. Opportunity for growth and specialization in the data field 2. Learning and development environment 3. Development of data pipelines and Power BI dashboards **RESPONSIBILITIES:** Develop and maintain ETL/data pipeline processes, including extraction, cleaning, and transformation; Perform 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 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, and transformation); Knowledge of Power BI (report and dashboard development); Intermediate-level spreadsheet skills; Familiarity with data lakes, warehouses, and lakehouse concepts, as well as data modeling principles. **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** Competitive market-based salary; Benefits: Gympass, Meal Allowance; Learning and development environment; Opportunity for growth and specialization in the data field. ;