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5 Essential Skills to become a Data Analyst

Data Analysts are in high demand across the industry.


As businesses are becoming more data-driven, the demand for Data Analysts is increasing. What’s even more surprising is, Data Analysts are becoming harder to get a hold of, making them more precious to companies. Publicis Sapient is one of the organizations where you can find several openings for Data Analysts. 



Publicis Sapient across its offices – Gurgaon, Bengaluru, Noida, Hyderabad, etc. hires Data Analysts across all experience levels. So, no matter where you’re in your career journey, you can find opportunities at the company. If you’re an experienced Data Analyst, you can check open roles here:

But what skills do you need to become a Data Analyst?

1. SQL, Python, and Advanced Excel – There are numerous ways to crunch data, but Python is preferred in the industry. SQL has slowly become a gold standard in retrieving data. So, if you’re well-versed in SQL, you can find good opportunities. Advanced Excel is a must-have skill because it helps organize data and present it in a meaningful way to stakeholders. Even though Tableau and Power BI are prominent for presenting data, a lot of it is imported through organized data in Excel.

2. Statistics – This is an essential skill, which Data Analytics managers often seek during interviews. If you’re interviewing for a role, make sure you brush up on your statistics knowledge.

3. Business acumen – Stakeholders often require Data Analysts to understand what they’re working on, and the impact a business can have, provided the data they’re working on. A good business acumen is a must-have skill in any role.

4. Stakeholder management – At Publicis Sapient, Data Analysts directly work with clients. It’s essential to understand the urgency and prioritize the work effectively. This helps in building good stakeholder management skills along with clear communication skills. 

5. Communication skills – A common misconception among aspiring Data Analysts is, they don’t need good communication skills. Surprisingly, the opposite is true. Data Analysts are often required to present their findings to key stakeholders. So, communication skills come in handy.





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