Data analyst

A data analyst career can be highly rewarding, with lots of specialized opportunities in a variety of industries. However, it also takes time to establish ...

Some data engineers also need to do more programming, such as in R, Python or even C++. If you reach the senior data analyst level and simply want to stay, that’s great. Those who want to migrate to a career as a data engineer will need to learn about maintaining data systems, including relational database systems, and even cloud database management. In this path, you ultimately leave the daily work of doing data analysis to focus on business management. [data scientists](https://www.dice.com/career-advice/data-science-degree-choosing-the-best-one-for-a-career) use a good deal of mathematical knowledge in their roles, and their analysis is often much more strategic. If you’re interested in moving to these areas, you’ll want to sharpen your skills needed for those roles. To succeed as an independent consultant, you need a broad range of skills, with a particular mastery of one or two. Junior Data Analyst: At this level, you’ve acquired the basic skills to get into the job, but you still have much learning to do. In most technology careers, the move from mid-level to senior doesn’t always involve a huge change in work scope, unless you’re asked to lead a team—but it can result in more money. As you gain ground in a certain industry, you will network and meet other people and organizations that need your services. Mid-level Data Analyst: Sometimes simply called “data analyst,” this is the level where you’ve mastered the core aspects of the job. Data analysis is no different, so plan to keep learning.