Technical skills
- Python — must-have
- SQL — must-have
- Power BI — must-have
- Tableau — nice-to-have
- Excel — nice-to-have
- pandas — nice-to-have
Soft skills
- Communication (teamwork, presentations)
- Problem solving
- Agile teamwork
- Continuous learning
How to acquire these skills
EITT Data Analyst training path covers all key competencies.
Frequently Asked Questions
What programming languages should a data analyst learn first?
Python and SQL are the two must-have languages for any aspiring data analyst. Python offers powerful libraries like pandas and matplotlib for data manipulation and visualization, while SQL is essential for querying databases and extracting the data you need for analysis.
Do data analysts need machine learning skills?
While not always required, basic machine learning knowledge is increasingly valuable for data analysts. Understanding regression, classification, and clustering helps analysts go beyond descriptive reporting and build predictive models that deliver actionable business insights.
How long does it take to become a job-ready data analyst?
With focused training, most people can acquire the core technical skills within 3 to 6 months. However, developing strong business acumen and communication skills, which are equally important for the role, typically requires hands-on experience working with real datasets and stakeholders.
Is a university degree necessary to work as a data analyst?
A formal degree is not strictly required, though it can be helpful. Many employers now prioritize demonstrated skills and practical experience over academic credentials, so professional certifications, completed projects, and a strong portfolio can be equally effective in landing a data analyst role.