Are SQL and Python Still Enough to Get a Data Analyst Job?

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Naomi Teng

Updated 2 hours ago in

With AI tools now capable of writing SQL queries, cleaning datasets, and creating dashboards, I’m wondering how much hiring expectations have changed.

Many aspiring analysts are still focusing on SQL, Python, Excel, and Power BI. But are employers now expecting AI skills, stronger business understanding, and real project experience too?

For those hiring or interviewing data analysts in 2026, what skills actually make a candidate stand out? Are certifications and portfolio projects still valuable?

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Tariq 2 hours ago

SQL and Python are still valuable, but knowing the syntax alone won’t make someone stand out anymore.

I’d place more importance on whether a candidate can take a messy business problem, identify the right data, validate it, and explain what the findings actually mean.

For example, if customer retention drops, a good analyst shouldn’t stop at producing a dashboard. They should investigate possible causes, question the underlying metrics, and recommend what the business should examine next.

As for portfolios, I’d rather see two well-documented projects showing real problem-solving than ten generic dashboards. Certifications can help demonstrate commitment, but they don’t replace practical understanding.

AI is making technical execution faster. The ability to frame problems, challenge results, and communicate decisions is becoming an increasingly important differentiator.