How to Become a Data Analyst in 2026: Skills, Tools and Roadmap
A practical roadmap to become a data analyst: Excel, SQL, Power BI, portfolio projects and interview preparation.
Data analyst roles are open to graduates from almost any stream. Companies in every industry need people who can turn raw data into clear answers, and the core tools can be learned in a few months with steady practice.
Core skills
- Excel: lookups, pivot tables, cleaning data and quick dashboards
- SQL: querying databases, joins, aggregations and window functions
- Power BI: data modelling, DAX and interactive dashboards
- Business thinking: asking the right question and explaining results simply
A simple roadmap
- Master Excel for analysis.
- Learn SQL and practise on real datasets.
- Build dashboards in Power BI.
- Create two or three portfolio projects, such as a sales dashboard or a customer analysis.
- Prepare for interviews with SQL questions and case studies.
Job roles
Common entry roles include data analyst, MIS analyst, business analyst and Power BI developer. With Python and statistics, analysts can grow into data science roles.
The Interface's Data Analytics with Excel, SQL & Power BI course covers this full roadmap with a capstone project and placement assistance.
Speak with a counsellor and reserve a complimentary demo class.