Data science is one of the top-rising multidisciplinary approaches to technology today. Big data remains crucial as most organizations are seeking to improve their performance through data analysis. This has increased the demand for people who can gather, examine, and visually represent vast amounts of data.
According to analysis, the data science market will grow at a compounding annual growth rate (CAGR) of 27.7%. That is to say, from $95.3 billion in 2021, it will grow to approximately $322.9 billion by 2026. It is expected that many sectors will contribute to this growth.
For instance, the proliferation of the Internet of Things (IoT), rising investments in research and development efforts related to machine learning (ML), artificial intelligence (AI), and also, cloud computing infrastructure and services.
Moreover, the ever-growing demand for data science across various industry verticals will contribute to this growth. The sectors include manufacturing, financial services, logistics, retail, and consumer goods.
This growth will lead businesses to embrace AI/ML solutions faster. Therefore, this will increase the demand for more big data and data analytics experts.
There are endless opportunities in this field. But today, let’s focus on some of the best data jobs to look out for in 2022.
Best Data Jobs 2022 has to Offer
- Business Intelligence Developer
To become a business intelligence (BI) developer, you should be a skilled software engineer. You need to know how to use big data platforms to evaluate unprocessed data from an organization’s internal and external sources.
Knowledge and experience in tools like SAS, SQL Server, Oracle, and R are vital. This will help you formulate effective business strategies based on their data analysis. Moreover, you’re responsible for producing valuable reports to help managers decide how to operate their operations.
BI developers are increasingly becoming popular. Many businesses already use both on-premises and cloud-based business intelligence systems. Hence making BI developer a lucrative job in 2022 and beyond.
Are you worried about where to get BI developers’ jobs? There are several data job openings on Only Data Jobs, including BI developer roles. The demand is there; you only need to up your skills and grab these opportunities.
A degree in Computer Science or a related field and a master’s degree is an added advantage. Also, investing in certifications like Certified Information Systems Auditor (CISA), Certified Information Security Manager (CISM), and Project Management Professional Certification (PMP) will work to your advantage.
- Big Data Architect
Source: Pxhere
A data architect is also known as a chief data officer. This individual has a broad perspective on your company’s data and how to use it efficiently.
As a data architect, you’re required to collect, categorize, store, manage, organize, and make organization data available. Besides, you’ll also need to concentrate on streamlining corporate procedures. Therefore, you need to have experience and knowledge on how to use technological tools like cloud computing and other digital platforms.
If you have a bachelor’s degree in computer science or a related subject, you can work as a data architect. Also, having a certified data management certificate is an added advantage.
Moreover, most employers will favor you if you have prior experience and expertise working with vast amounts of data. Additionally, proficiency in programming languages such as Java, Python, and C++ will help you stand out.
Often you will need to suggest new technologies and systems and examine the best way to improve the existing systems.
Also, you’ll need to be able to build new security or develop policy measures to safeguard private data from hackers and other cybercrimes as well as manage sensitive information.
- Data Scientist
Data scientist is another lucrative career in 2022. Your role as a data scientist will be to manage huge complicated datasets while providing results using machine learning and predictive analysis.
Moreover, you need to use various tools and resources to aid commercial decision-making. These include statistical tools, machine learning, artificial intelligence, and data mining techniques.
To get a job as a data scientist, you need to have a degree in mathematics, data science, or computer science. Moreover, you can leverage BootCamps since data scientists have a huge demand.
Regardless of your area of specialization as a data scientist often, you will need to gather and clean datasets. Also, you will need to choose the right questions to ask, write code, evaluate the results and produce relevant reports with findings.
- Machine Learning Engineer
Machine learning engineering is increasingly becoming more popular as it helps reduce an organization’s operational costs. Algorithms are crucial for machine learning engineers when solving problems. They use these algorithms to examine data, search for trends and differences and illustrate this data to reach a decision.
Your job as a machine learning engineer is to counter-check the data for accuracy and quality before presenting it. Their primary role is to develop algorithms and programs that help machines to do tasks autonomously.
Most machine learning engineers have bachelor’s, master’s, and doctoral degrees in computer science. So it’s a good idea to advance your career to qualify for this data science job.
- Statistician
You’ll need to gather, analyze, and evaluate data as a statistician to find patterns and connections that can guide business decisions. Statisticians also regularly advise on organizational strategy, communicate with stakeholders, and create the data collection process.
Since it combines statistical knowledge with other subject-specific expertise, this position is highly sought in both the public and private sectors.
- Data Analyst
Source: Pix4free
You will create and maintain data systems and databases as a data analyst. Also, their other role is to examine and correct any coding mistakes.
You need to have experience in using statistical tools for you to interpret data. Moreover, you need to give more focus on patterns and trends. This data is valuable when analyzing predictive and diagnostic analytics.
To succeed as a data analyst, analytical and leadership skills are essential. There are a lot of opportunities for candidates with undergraduate or graduate degrees in computer modeling, analytics, physics, or mathematics.
So if you’re a novice or a professional, here are some of the duties of a data analytic that you’ll be required to:
- Collect data and maintain the data systems
- Use statistical methods to evaluate data and provide reports
- Establish and use data collection systems
- Finding, analyzing, and interpreting patterns and trends in large, complicated data sets
Key Take Away
You shouldn’t worry if you have a skill set in data jobs. The future is still bright and wide with an astonishing array of opportunities. Big Data and its various uses are only at the inception stage. There are so many professions you can pick from. And your skills will be valuable in many sectors regardless of the business.
