Question 1

What tools do data analysts use most?

Accepted Answer

SQL is essential. Python (pandas, matplotlib) and R are common for analysis. BI tools like Tableau, Power BI, and Looker are widely used. Knowledge of statistical methods and A/B testing is also important.

Question 2

What is the difference between a data analyst and data engineer?

Accepted Answer

Data analysts focus on interpreting data and creating reports/dashboards. Data engineers build and maintain the infrastructure (pipelines, warehouses, ETL) that makes data available for analysis. Engineers typically command higher salaries.

Question 3

What are the expectations for senior engineers?

Accepted Answer

Senior engineers lead projects, make architectural decisions, mentor team members, and drive technical strategy. They are expected to solve ambiguous problems, influence beyond their team, and deliver high-impact work independently.

Question 4

How many years of experience do senior roles require?

Accepted Answer

Typically 5-7 years, but impact matters more than tenure. Engineers who demonstrate leadership, system design skills, and cross-team influence can reach senior level faster. Some companies have IC tracks that go well beyond senior.

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