How to become a data analyst- Clinical Data Management Careers
The world of Biotechnology revolves around arrays of industries, which results in ease in human life. Over time, demands for innovations and discoveries are increasing, leading to new jobs in biotechnology. In this blog, we will learn about the skills a data analyst (one of the jobs in clinical data management careers) should have.
There’s more than one way to build a career as a data analyst. Whether you’re just graduating from school or looking to switch careers, the first step is often evaluating your transferable skills and building the skills you’ll require in this new role.
Data analyst technical skills
- Database tools: Microsoft Excel and SQL should be mainstays in any data analyst’s toolbox. While Excel is universal across industries, SQL can handle larger sets of data, and experts consider it essential for data analysis.
- Programming languages: Learning a statistical programming language like Python or R will let you maintain large data sets and perform complicated equations. Though Python and R are among the most common, it’s a good idea to look at numerous job descriptions of a position you’re interested in to decide which language will most advantage your industry.
- Data visualization: Presenting your outcomes clearly and compellingly is important to become a successful data analyst. Knowing how best to showcase information through charts and graphs will make sure colleagues, employers, and stakeholders will get your work. Tools like Tableau, Jupyter Notebook, and Excel are used to create visuals.
- Statistics and maths: Knowing the concepts behind what data tools are doing can help you in your work. A solid knowledge of statistics and maths can aid you in deciding which tools are best to use to solve a specific problem, assist you in catching errors in your data, and better understand the results.
If that seems like a lot, don’t worry — you can find ample biotech jobs that will walk you through the basics of the technical skills you need as a data analyst. If you want to learn about the highest-paying careers in the biotech industry.