Core competencies, knowledge and experience :
- Proficiency in SQL for data extraction, manipulation, and analysis is essential.
- Strong expertise in data visualization tools such as Power BI, Tableau, or similar. (Power BI preferred)
- Advanced Excel skills (pivot tables, VLOOKUP, complex formulas).
- Experience with scripting languages like Python or R for data analysis, manipulation, and automation is highly desirable.
- Familiarity with database management systems (e.g., PostgreSQL, MySQL, SQL Server).
- Understanding of data warehousing concepts and ETL processes
Must have technical / professional qualifications :
Bachelors degree in a quantitative field (Data Science, Statistics, Mathematics, Engineering or Computer Science).3-5 years of experience in a data analyst role, preferably within the telecommunications, IT infrastructure, or a similar industryProficiency in SQL for advanced data extraction and manipulation.Strong expertise in Data Visualization tools (Power BI preferred) for dashboard development.