Latest Jobs in Data Analyst.
One of our favorites TV shows of all time is … Friends!
(You know – Monica, Joey, Chandler… Those guys!)
Let’s think about Chandler Bing for a moment though.
Who here knows what his job was?
He works for a company that does data configuration and statistical factoring!
Hmmm, that sounds like a made-up thing!
It’s not! He basically works as a data analyst, plain and simple.
You didn’t expect to read that on our data analyst jobs facts and figures page, did you?
This fun fact might help you win a pub quiz someday. And now that I’ve introduced the topic, I can explain everything and show that data analytics is not as scary and incomprehensive as one might think.
Here are some prime stats worthy of Chandler Bing!
So let’s start with the obvious…
What Does a Data Analyst Do?
Here’s the deal:
Data Analysts gather extensive data through research while applying a combination of mathematics, statistics, programming tools, and software. Basically, they translate data into more understandable words so businesses can use it to their advantage.
A data analyst job is a very important one for a company, as it provides it with the necessary insight that will give its products an edge on the market, redefine strategies, determine targeted sales groups, and many other things that will help a company develop and add revenue.
Since data analysis can be applied in all kinds of different fields, there are various types of data analytics as well.
However, no matter the field, each one of them requires specific skills.
Let’s have a look:
What Skills Are Required to Become a Data Analyst?
Entry level data analyst jobs require a standard set of skills that are necessary for the worker to perform their job properly. Specific fields may require different feats. But basically it all comes to this:
You absolutely can’t be a data analyst if you’re good at math. It is the building block of this job, and it all starts from there.
The thing is:
Knowledge of figures and numbers is super necessary. You will need to understand the existing relationship between the numbers and interpret any numerical information that you might come up with.
Any database analyst needs to have fundamental knowledge of statistics. Advanced skills on the matter may prove even more useful. The computer software that does statistics for you can be of great help, but you still need to know the basics.
Technical & Computer Skills
This is a requirement for almost all jobs today since the majority of the data that you will be analyzing is done using computers. It also helps to know a thing or two about programming because it adds more value if you know how to operate multiple programming languages like R, Python, Java, PHP, or C++.
Even people working in remote data analyst jobs need to have communication skills. This job requires you to collaborate with multiple people in order to perform your duties well. In order to assimilate new information, you have to facilitate meetings, be an active listener, and make the right requests.
Attention to Detail
This skill is not a deal breaker, but it is really valuable to have. A good data analyst needs to be able to spot unseen details that will eventually lead them to solve problems and make better decisions.
Which brings us to:
Sectors Where Data Analysis Is in Demand
Market Research: Data analyst job profile includes companies employing data analysis to determine the targeted audience and demographics before launching a new product or service.
Sales: Big companies often analyze product data and use it to better their products and offer them to specific people in order to improve sales.
Government: Data analysis can also be employed within government structures, as careful data collection helps understand what people need. It also always government agencies to serve the people properly.
Healthcare: Healthcare data analyst jobs are on the rise. By compiling data about patients’ illnesses and their behavior, health practitioners are able to gather vast amounts of data that can prove to be beneficial in treating all sorts of conditions and illnesses.
Okay, so let’s say you’ve got the skills and are interested in a certain field to become a data analyst. What then? What qualifications do you need?
Qualifications and Education Requirements
So you have decided to invest your time and start your career in data analysis.
Good for you!
But are you qualified?
It’s not like there is a Data Analysis college out there handing a data analyst degree to whoever walks in.
Jokes aside, a bachelor’s degree is the minimum requirement for a job like this one. As for the field, you can choose any that are mentioned in the skills section – computer science, mathematics, statistics, or something else that is closely related to the job and the position you are about to fill in.
But keep in mind that people with a higher degree will be viewed differently. For instance, if someone walks in with a master’s degree in a relevant field, they will get the nod for the job. So, analysts with higher degrees will be given higher-level jobs.
Like I said, the requirements for a junior data analyst start with a bachelor’s degree, and even people without experience can apply for that position. Mind you, it is much harder to get in if you don’t have any formal education.
Experience is desirable but not essential.
That being said:
Lack of experience may prove detrimental in the long run, so it is better to have both.
Luckily for you, there is a simple solution!
People with education and no experience can apply for a remote data analyst internship to get the added experience they need.
Starting from the bottom and going all the way to the top is probably the best-case scenario for any person who decides to have a career as a data analyst.
But no job would be worth investing your time and effort if it doesn’t pay off.
And I do mean that literally!
So, we are past all the interview questions and it is finally time for you to pose one of your own…
How much am I going to be paid?
Data Analyst Salary
The average salary for a data analyst in the United States is somewhere around $44,205 a year.
There is a good amount of money to be made in data analysis. But it all depends on how much you are willing to advance in your field and better yourself. The salary may also vary based on the person’s qualifications and education.
For example, a data analyst salary with master’s degree will earn you quite a pretty penny, bringing you anywhere between $55,863 and $59,633 a year.
But there are levels to this game. Seniority is a big thing, and starting from level one and making your way to the top will not only make you a better and more experienced data analyst but a wealthier one as well.
So now that we know how much we are earning, let’s see what each job type involves:
Data Analysis Job Types
So, you are going through an ad in the local paper. Or on the internet, since nobody reads newspapers anymore. And you stumble on an ad that has something to do with data analysis.
Is this for you? You are thinking about applying but are still not sure…
We better go over a basic data analyst job description, so you know what you are up for. Starting with:
Data Analyst Job Description
Skills and talents: Completely diverse but requires the ability to figure out problems.
Requirements: Being well versed in programming languages such as Python, SQL, C, R, Excel, etc.
Responsibilities: Acquire data from primary and secondary sources and maintain database systems.
Career path: It may lead you to becoming a business analyst, a corporate strategy analyst, or to management reporting.
Average salary: $62,379
So, if someone asks you “what do data analysts do,” you now have the answer.
Business Analyst Job Description
Skills and talents: The ability to find patterns between data insights and business insights.
Requirements: Knowledge of deep business processes.
Responsibilities: Analyze the organization of business domains and document its business.
Career path: Move up to lead business analyst, IT business analyst, or a product manager.
Average salary: $65,911
Data Scientist Job Description
Skills and talents: Ability to handle raw data.
Requirements: Deep data science knowledge and skills to analyze data with statistical techniques.
Responsibilities: Researching and developing statistical learning models for data analysis.
Career path: Gain experience and eventually move on to being a business intelligence developer, an application architect, an infrastructure architect, or an enterprise architect.
Average salary: $118,709
Data Architect Job Description
Skills and talents: Ability to integrate data from different unrelated sources and find relevant information.
Requirements: The data analyst jobs facts and figures for this job include being able to create a blueprint for data management systems in order to integrate, centralize, or maintain data sources.
Responsibilities: Examining and identifying database structural necessities by evaluating client operations.
Career path: Gain the title of a senior data architect.
Average salary: $100,118
Data Engineer Job Description
Skills and talents: A background in software engineering and ability to handle databases.
Requirements: Proficiency in various programming languages aimed at web development and knowledge of statistical programs.
Responsibilities: Generating infrastructure for big data analysis and reformulating existing framework in order to optimize it.
Career path: One day you can strive to become a database administrator, a data scientist, or a big data engineer.
Average salary: $95,936
Statistician Job Description
Skills and talents: A strong and stats oriented mindset and a background in statistical methodologies. In-depth knowledge of the latest data analyst jobs facts and figures.
Requirements: Background in modern quantitative statistics.
Responsibilities: Designing data acquisition trials, assessing results, and analyzing trends.
Career path: Develop your skills and become a senior statistician and eventually an economist.
Average salary: $75,069
See anything you like? Perhaps you did but aren’t sure about being in the office from 9 to 5?
In today’s modern world, there are many data analyst jobs work from home, as employees are not expected to stay in the office all the time. Essentially, remote jobs have the same requirements and skills, but the pay may be different as can be certain job responsibilities.
But not all areas and places are technological hubs, so you can’t even find entry level data analyst jobs there. Certain cities provide a better opportunity than others.
You can probably guess which cities those are.
Data Analysis Jobs by City
According to a survey from 2015, Silicon Valley and the Washington, D.C. metro area were the ones with the most job opportunities in this sector.
When we think about tech jobs in California, it’s not all about the Bay Area. We can add LA to the mix since there has been a surge in Southern California with more and more data analyst jobs in Los Angeles being opened left and right.
With the Federal Government situated in D.C., it is quite normal that there are many openings found there. The Federal Government is actually one of the biggest employers of tech-savvy people who can prove to be valuable assets. Data analysis is one of the more crucial job positions for them.
There is not much to tell about Silicon Valley that you don’t already know or can guess. Viewed as the center for high technology, social media, and innovation, the Bay Area has always been an attractive location for people with great talents. Data analyst jobs in San Francisco are plentiful, and you can always see the top jobs from this field listed in this city. Just check LinkedIn if you don’t believe us.
The Rest of the USA
With the development of technology, there has been a surge in jobs in other cities located all over. Raleigh – Durham has been the biggest rival to Silicon Valley due to its famed research triangle.
Other major cities in the US that offer data analysis job opportunities include New York City, Phoenix, Atlanta, Boston, and Palo Alto.
The Rest of the World
Data analyst jobs facts and figures for the rest of the world state that cities like Dublin, London, Singapore, Toronto, Paris, Kyiv, Bengaluru, Berlin, and Stockholm are the best alternatives if you are looking away from the US. Data analysis has become really important on a global level, so it makes sense that it is developing at such a fast pace almost everywhere in the world.
And on that note:
We’ve pretty much covered everything there is to cover when it comes to looking for employment as a data analyst.
But if you still have some questions you might find your answers here…
Q: What is a data analyst?
A: A data analyst is a person who compiles the necessary data from various different fields. Their job is to then analyze the gathered data and use it to help companies make better business decisions.
The gathered data can be used in such situations as figuring out the cost of a certain product, its impact on the market, how to reduce transportation costs, how many people should be working on the weekend, or even how to solve various issues that the company may have.
Q: How to become a data analyst?
Becoming a data analyst is not something that happens overnight. You can’t really go through a 20-day online course and become proficient in it. It takes work and dedication, my friend.
The first thing you might consider is getting some formal education. Any bachelor’s degree in a relevant major will do – whether it’s computer science, information technology, or statistics.
Add some experience to the mix that you may get from internships, and you are all set to start advancing your career in data analysis.
Q: How to find data analyst jobs?
Finding a job as a data analyst is no different than looking for any other job out there. It takes work, dedication, and perseverance. But the best way to start is being aware of your skills and how the firm you are applying to can benefit from them.
Since there are many different data analysis jobs, look for ones that you have an adequate skill set for. It is okay to be confident and apply for a higher-level job, but you still have to be aware of your current capabilities.