Statistics and data are becoming important to all areas of the office, not just technical fields. With hundreds of programming languages to choose from, it's hard to know which ones to start with. Let's talk about the ones that will make you most relevant to the demands of the current job market.
Trilogy Education is a New York-based company. The startup works with universities to augment education for graduates by offering continuing education classes. Trilogy released research showing the most demanded skills for data analysis occupations, and the company now partners with 24 universities, including Northwestern, Berkeley and UNC Chapel Hill, to offer courses on data analytics, web development, and online user experience. Trilogy looked at 25.6 million positions and analyzed how often specific skills appeared in job descriptions in the US.
Here are the results of the five top data skills in data analysis:
1. Data Analysis
If this seems too obvious and basic, think again. It's what data analysts do, so they need to know how to do it quickly and efficiently. Data analysis is the most sought-after skill in job descriptions of the same name. The Trilogy study defines data analysis as the ability to think critically when interpreting numbers. A great data analyst looks beyond the numbers to the story they tell. It's not enough to know how to use programming languages. Employers need developers and analysts who can spot patterns in data and offer accurate and actionable conclusions. That last part is significant. Without putting your analysis into coherent descriptions, stakeholders can't make decisions to correct the underlying issues.
SQL is everywhere. This skill takes second place on the list, but it's hard to get a tech job where SQL is not a requirement. Many hiring managers won't even interview candidates with no SQL skills. This language developed in the 1970s and is seen throughout the world due to its easy-to-learn syntax. Learn SQL if you aspire to be a data analyst, database administrator, business analyst, data scientist, data engineer, web developer, or software engineer.
3. Data Management
This skill is about understanding and managing the underlying structure of data. Data usually have complicated rules around access and security for different components of any application. As a data analyst, you need data skills to interpret different methodologies used to store data as efficiently as possible. The database administers Excel at this skill.
4. Business Intelligence
Business intelligence involves gathering data that helps decision-makers make better business decisions. For example, if an organization uses direct mail and Facebook ads as a means of marketing its products,
Use your data skills to analyze the results of business intelligence software queries. In our example, the company needs to know how well each marketing campaign succeeded. This skill is vital to the following roles: Customer insight analyst, business analyst, business intelligence developer.
5. Data Warehousing
Data warehousing combines tons of data in a single repository. This makes it possible to mine data from different systems for reporting and analysis. If you work with data warehouses, you are most likely a data engineer or consumer of the information generated.
Keep Your Skills Updated
These 5 popular skills will get you far in data analysis. It's important that you keep your skills up to date and relevant to the industry in order to stay marketable. If you're in the market for a new opportunity, contact ICS. We have plenty of open roles for you to fill. Whatever you're looking for, we'll work with you to find it.