It’s really challenging to become a statistical programmer. And even when you are working in this role, other obstacles may come up along the way. Luckily, the lucrative perks can keep you excited.
So, what are the advantages and disadvantages of being a statistical programmer? As someone in this industry for a long time, I can help you answer this question with my actual experience.
Who Is a Statistical Programmer?
A statistical programmer is a professional who creates statistical programs using tools like Stata or SPSS. Then, they can ensure the analysis-ready figures and data work well.
The statistical programmer often works on databases of a company. They analyze and produce output data. Their company can use that data for business development and scientific research.
The specific tasks for these data experts vary depending on their company. But generally, as a statistical programmer, I focus on these duties:
- First, I create statistical programs to check the data’s quality.
- Then, I train other employees on using those programs.
- I also do statistical research and report my findings to my manager.
- Another part of my job is to plan regular statistical analysis.
- There are several statistical projects within my company. And as a statistical programmer, I have to follow each project closely.
Working with datasets can be stressful and demanding. Yet, I can still find joy and satisfaction in my job. Let me show you how I have mixed feelings.
There are many benefits for a statistical programmer. For example, I can receive good welfare and enjoy numerous job opportunities. There are also many chances for more specialized sectors.
1. Good Welfare
Let’s talk about the welfare of this job first! The good news is that it offers many perks regarding salaries and job growth.
As of 2023, statistical programmers can earn about $100,589 per year. This rate is higher than in many other professions.
Moreover, most employers in this field provide good welfare benefits. They can offer you health insurance, paid time off, and other wellness programs.
2. Job Opportunities
Every company now relies on data to make informed decisions for their business activities. Hence, they understand how important statistical programmers are.
The high demand leads to many benefits for those who want to pursue this career. First, you will have job opportunities. And second, it gives you a sense of job security.
3. Creativity
You will work with datasets. However, statistical programming is not only about sticking to the rules. Instead, you have to find the best solution for a problem.
You need your analytical thinking and imagination to create efficient code. Sometimes, your boss asks you to design visual elements, too. All these tasks give a lot of space for your creativity.
4. Great Impact
When working in this role, you can use your expertise to suggest solutions for your company. Imagine that you work for a healthcare center. Then, your findings will really improve lives.
The same thing happens if you join industries like science and education. And even when you are a small business statistical programmer, you can contribute to its growth by offering reliable data analysis.
5. Ability To More Specialized Careers
I’ve also found that there are many chances to specialize in specific areas of statistics. Niches like market research and big data really excite me!
You can also consider this chance after working as a statistical programmer for a while. Specialized careers often come with higher earning potential. So, don’t hesitate to set your goal right now!
6. Interaction With Many Audiences
You can interact with many people, such as data analysts and researchers. Their knowledge of statistics will surely enrich your experience.
It’s also a precious chance to hone your communication skills. So, be open to it! You can then enjoy the benefit of having a vast network!
Everything has two faces. So, after checking the pros of being a statistical programmer, let’s move to the downsides!
First, to apply for this job, you must study a lot. Even when you get it, you have to keep learning to develop your skills. The tight deadlines and heavy pressure will also challenge you!
7. Many Things To Learn
It’s not easy to become a statistical programmer. You need a bachelor’s degree in computer science, statistics, or a related major. Some companies also require certifications. Plus, you need to develop a robust skill set, which includes the following skills:
- Data analysis
- Programming
- Database management
- Communication
- Problem-solving
- Attention to detail
That sounds like a lot! Thus, spend time working on each skill. Once you’ve got all of them, you will be confident in applying for your dream job.
8. Tight Deadlines
I have a habit of listing what I have to do in a day before starting to work. My list is really long, and some tasks require immediate attention.
The tight deadlines stress me out sometimes. To handle them, I focus on the more important tasks first. I also appropriately allocate time for each duty to ensure I don’t miss any.
9. High Pressure
My work can have an impact on my company and even different sectors. The pressure on providing good deliverables urges me to work harder and constantly learn to upgrade myself.
I believe that I can deal with the stress by honing my skills. Then, I won’t disappoint my boss!
Should You Become a Statistical Programmer?
There is no clear answer to this question. So, to determine if you should become a statistical programmer, follow these steps:
- Explore your passion: Does statistics get you excited? If yes, working in this position can help you dive deeper into what you love.
- Consider your skills: Remember the skill set needed for this job I mentioned in the previous section? It will help you shine in your role.
- Expect what you will face: The opportunities and obstacles of being a statistical programmer above will happen to you. If you seem OK with them, then go for this career!
Final Thoughts
This career has both pros and cons. As a statistical programmer, you can access many job opportunities in different fields and industries.
However, be ready to deal with pressure and tight deadlines. Your learning curve will be tough, too. So, just take all those factors into account! Then, you can tell if statistical programming is your ideal job.