Each company has a vast database for different purposes, so working with data is challenging. That’s why companies need data processors to work critical tasks.
If you like working with statistics and figures, you may wonder how to become a data processor. Well, this job requires certain education and skill levels, among other things. I will discuss all the steps to take on the journey in this post.
Overview
Data processors work with information or big data. They help data controllers handle the data collected.
More specifically, the processor tells the controller what they will do with the data. Then, they use software and machines to process it. Yet, the processor doesn’t own or change the data. Instead, the controller decides how to use it.
Industries That Need Data Processors
Healthcare needs data processors the most because healthcare providers have to process lots of information daily, such as patient records and insurance plans.
Other industries use data, too. They need information to make strategic plans and decisions. These industries include:
- Finance: This sector deals with a lot of sensitive information like money and investments. Thus, it needs data processors to manage the database.
- Logistics: In logistics, data processors help track inventory and shipments.
- Retail: The data in retail is about marketing and sales. Customer info and purchase history are also part of this sector.
- Education: Education institutions have to handle students. They ensure accurate student records for their next education level or job application.
- Banking: Similar to finance, banking includes sensitive financial data. It’s when data processors come into play.
- Advertising: Advertising relies on customer behavior data. Then, based on that, marketers can plan their campaigns effectively.
Work Environment
Data processors usually work in offices. They sit at desks and use computers to process the data. This full-time job requires 40 work hours a week, but they may work extra overtime to finish tasks on time.
What Do Data Processors Do?
There are many tasks for a data process to handle. I’m working in this position. So, let me tell you what you must do every day as a data processor!
I work closely with the data controller to check the data’s quality. It should adapt to three requirements:
- Accurate: The data must be accurate and have no mistakes.
- On-topic: I want the data to be relevant to a specific objective. Otherwise, the off-topic information will waste my time.
- Concise: I don’t like to work with wordy things. Thus, I ensure the data is short and doesn’t repeat the same stuff.
Once I’ve prepared the data, I input it in specialized programs. Then, they can turn it into a language that computers can understand.
Next, I create graphs, pictures, and reports to help the data controller dig into the data deeper. Sometimes, I add extra info like averages and dates to give more details about the data.
Mathematical concepts can also help. When I include probability and statistics in my reports, the controller can make decisions based on them easily.
Now, I have both processed and original data. I make sure all of them are secure for users to handle in the future. To do it, I need tools to protect and store it.
The data controller also needs me to create computer systems to collect data from others. Sometimes, I change the existing software to fit their needs.
How To Become A Data Processor
Working with data is not easy. If you want to be an expert in this industry, you must study really hard. But don’t worry! Just follow these steps below, and put effort into everything you do.
1. Pursue A Bachelor’s Degree
Firstly, you need a good foundation in computers and handling data. Earn a bachelor’s degree if you want to upgrade your skills to the next level.
Employers often prefer candidates with a degree in computer science. You will also have more opportunities that lead to higher pay.
Aside from the bachelor’s degree, certifications can be really helpful. They show that you are serious about your job.
Each certificate focuses on a specific aspect of data processing. So, if you care for certain parts of your job, choose those courses!
There are many certifications for data processing. The common choices are:
C-DPO
This certification comes from ITGovernance. If you choose it, you can learn about cybersecurity and data privacy.
C-DPO deals with different concepts of handling personal data. For example, by the end of the course, you can grasp the role of data protection and how to process the data legally.
GDPR
Understanding GDPR is crucial, especially in data protection. This course covers the basics of GDPR and how businesses should follow the rules.
Interestingly, this course lasts only one day. Even within a short time, you can learn key topics, such as:
- Securing data
- Reporting breaches
- Data subject’s rights
ICO
If a business wants to show that it’s following GDPR officially, it can go through a certification process with the ICO. Different schemes are available for different parts of a business. It means they can apply for certification for specific services or products.
When you choose this course, you will work with a certification body. Then, you can assess how your processes meet GDPR standards.
2. Hone Your Skills
The degree and certifications are valuable. However, you still need to develop other skills. For example:
Data entry
You should be really good at typing quickly. Try to do it without mistakes, too, because the databases must be accurate.
Spreadsheets
You also need to use computer programs, and one of them is the spreadsheet. It helps you organize and arrange data.
Communication
During your work, you talk to different people. They may or may not know anything about technology. So, as a bridge between them and data processing, you need to explain complicated concepts to them.
Written communication is crucial, too, because you have to write reports regularly. Your goal is to make them easy to understand for everyone.
Attention to detail
The database is huge. Yet, a tiny error in the system will ruin everything. As a result, every detail counts.
So, as a data processor, you must pay attention to all elements of the databases. Then, you can put them in the right places and handle them efficiently.
Computer systems
You work with computers every day. They are smart devices that can perform many tasks. However, they break down sometimes, affecting your productivity. Thus, learn how to use them and fix them.
You don’t need to be an expert in repairing computers. However, figuring out minor errors can help you save time and money.
3. Get An Internship
Internships give you hands-on experience in data processing. You can also gain new skills and refine what you’ve already had.
Moreover, during the internship, you can build relationships with professionals in the field. The wide network will help you explore potential career paths.
Some universities and colleges ask their students to intern in their final year. But even if your school doesn’t, you should get one. Then, you will earn all the benefits mentioned above.
When working as an intern, you don’t get paid well. Companies can’t give you a high salary while you are still new to the industry.
The experience you get from this period is much more valuable! So, pay attention to your tasks and ask questions. It’s a precious chance to show your enthusiasm for your work.
If you have any problems, don’t be shy to seek help. Your colleagues and mentors will guide you through the obstacles.
4. Update Your Resume
The resume shows what you have and whether you are the right fit for a job. So make it impressive, just like how you want to impress the employers.
The question is: How to create a good resume? I have some tips for you here:
- First, include your basic info, like your name, phone number, and email address. Then, the employers know how to get in touch with you.
- Talk about your education, which can be your bachelor’s degree or certificate.
- Next, write a short paragraph to prove that you can do the job well.
- Highlight your skills. In this step, do not write something general. Instead, read the job description carefully and focus on the skills needed.
- Mention relevant work experience, such as internships, part-time jobs, and projects related to data processing.
5. Apply For A Job
It’s time to find a data processor job and apply for it. Remember to update your resume so that employers know your latest achievements.
Job application is the simplest step in your journey. You just need to look for job openings, send your resume, and wait for a call.
However, it can be really stressful. You may wait long until you get invited to an interview. But it doesn’t mean you lack skills or ability; you are simply not the right fit for that position.
So don’t quit easily! While looking for a job, keep working and honing your skills. Finally, the chance will come!
Job Requirements
You can apply for a data processing job whenever you are ready. To tell if you are qualified for it, check the following criteria.
You need to finish high school to work as a data processor. Some companies like it if you’ve studied computer science or a relevant subject in college.
It’s always better to have experience in data processing. You can join school projects or try internships for them.
Besides, when you get the job, you will receive a training period first. The training course often lasts for a few weeks or sometimes months, depending on your prior experience and the company.
Certifications are not compulsory. However, some companies may want their data processors to have certificates in certain areas.
Salary and Outlook
The average salary for data processors varies depending on their location, experience, and the company they work for. In general, they can earn about $36,530 per year.
The BLS doesn’t track numbers for data processors. Yet, they predict that jobs in computer and information fields will increase by 15% from 2021 to 2031. This growth is faster than the overall job market.
Is Data Processing Same As Data Science?
No, although these two fields sound similar. Data processing happens when you collect data and turn it into useful information. Processing the data is important, and it doesn’t mess up with the final information.
Meanwhile, data science includes more tasks. The data scientists handle big sets of data. They also organize and study them carefully to create new things.
Is Data Processing A Good Job?
Yes. If you work as a data processor, you will have any benefits, such as:
- High demand: Data processing is one of the fastest-growing jobs because each company has to work with data. Thus, many new job openings will be in the next few years.
- Good pay: As I have said, you can earn about $47,139 annually.
- Important role: Many businesses rely on data processors to give better outcomes to their customers. It means you will be an important part of your company.
- Versatility: You can work in many industries, leading to more job opportunities.
Conclusion
To become a successful data processor, you need to adapt to its requirements for skills and knowledge. You will be ready to shine once you’ve got all the needed factors.
Hopefully, this guide can be helpful for your career path. If you need any further information about the data processor job, send me a message. I’m always eager to help. Thank you for reading my guide!