Data Analyst

Vakansiyanın detalları

Data Cleaning and Preparation: Perform advanced data cleaning and transformation. Develop scripts for data preprocessing
Intermediate Analysis: Conduct in-depth analyses and statistical evaluations. Use tools like SQL and Python for complex analyses.
Reporting and Visualization: Create comprehensive reports and dashboards. Develop interactive data visualizations using tools like Tableau or Power BI.
Collaboration: Work with cross-functional teams to understand their data needs. Provide actionable insights based on analysis.
Optimization: Identify areas for process improvement and efficiency. Implement data quality and consistency checks.
Learning and Development: Stay updated with basic analytical tools and techniques.

Bachelor's degree in relevant sphere
1+ years of experience in Data Analytics sphere
Intermediate skills in BI tools for creating dashboards, reports, and data visualizations (Power BI/Tableau).
Intermediate experience in SQL/Python
Advanced proficiency in Microsoft Excel, including expertise in complex formulas, pivot tables, dynamic dashboards and data analysis
Excellent communication and presentation skills.
Understanding of data structures, data cleansing, data validation, data manipulation and software architecture
Exceptional critical thinking, analytical abilities, and problem-solving skills
Familiarity with Agile or Scrum methodologies is a plus.
Good command of English