7 Best Entry-Level Jobs for Data Management Graduates
In the digital world, data is one of the most powerful assets. We'll explore the best 7 entry-level jobs for data management graduates.
In the digital world, data is one of the most powerful assets. There has never been a better time to get into data management and its associated fields. The employment landscape offers a promising future, with opportunities spanning across multiple industries. The nature of the job comes with plenty of work flexibility and possibilities of self-employment as well. In this article, we’ll explore the best 7 entry-level jobs for data management graduates.
There is no doubt that data science will play a prominent part in the times ahead. If you are curious about the employment potential, read on. In this article, you will find some roles you can fill as an entry-level data manager.
Entry-Level Jobs for Data Management: Data Analyst
The job description is pretty much evident from the title itself. You would be analyzing the information from a company or the industry to locate value and identify opportunities. Analysts can find relevant jobs in almost every sector today.
Almost every company that is getting digitized relies heavily on data analysts. For instance, they help certain companies spot trends on whether the demand is more for to use cheap essay service or to hire content marketers. This analysis helps employees make better and informed decisions.
The position is a promising one if you want to join the field. In general, data management commands a relatively high median salary. Even for novices, it can get around $50,000 per year. Furthermore, based on your interests and experience, you could choose from a wide array of specializations.
These roles will also have industry-specific names. Some examples are an intelligence analyst or business analyst. Normally, analysts also possess a dynamic skillset. Their expertise ranges from numbers to excellent presentation skills. These are needed to demonstrate their analysis visually.
Similar to an analyst, a data scientist also works with finding patterns from data. The key difference is the following. The analysts are focused on numbers. On the other hand, scientists use advanced level coding and modeling expertise to arrive at their predictions. They write algorithms, build statistical models, and work on estimating the unknown.
The role of a data scientist often requires an advanced degree today. However, you can combine your undergraduate program with online certifications to acquire the necessary skills. This will set you up for this demanding job as a graduate itself, with a mean annual wage of well over $100,000 per annum.
Entry-Level Jobs for Data Management: Database Administrators
As a database administrator, your job is to store and organize the information. One also grants access to users and secures the data from unauthorized access. You will be required to keep the data safe, backed-up, and restored. This is critical to ensuring the smooth operations of other data-related jobs.
Along with a degree in data analytics or management, you also keep knowledge of scripting, web development, and more. The job outlook for data administrators is heading to a 10% growth by 2029.
Data architects assist companies in managing, storing, and securing their data. They create blueprints for data management systems after assessing the sources. Similar to an architect, they design a plan that integrates, centralizes, and protects the data. This planning is necessary to ensure that information is accessible for employees.
Their duties do not stop at the creation of these management systems. They also have to monitor these and offer feedback looking for continuous improvement. At an advanced level, they also research new techniques, products, and tools.
Data Engineer: Entry-Level Jobs for Data Management
While a database architect conceptualizes the data frameworks, it’s the data engineers who build them. Under the guidance of data architects, they maintain the systems. This is done to provide a supporting framework for data activities.
Similar to other roles listed, you’ll need to be proficient in programming languages. The educational requirements, on the other hand, are less rigorous than data science-related ones. You can find a job with an undergraduate degree, but a specialization could give you a leg up in the market.
The prospects of data engineers are among the fastest-growing tech occupations. At the moment, with the surge in data, there is, in fact, a shortage of data engineers to keep up with the demand.
A system analyst develops requirements for building systems for the smooth running of an organization. They blend data science, information technology, and business to solve complex problems.
In other words, system analysts form a link between people in business, project management, and other developers. Though their work runs parallel to business analysis, this is more of a technical role. They consider the hardware and software limitations and storage. They also increase the functionality of existing systems and security, to name a few. As a result, good entry-level jobs for data management
System analysts can expect an entry-level salary of over $66,000 a year. This is subject to change based on the location, and education, making way to much higher pays.
Digital marketing is a field that needs a strong background in data analytics. Finding an entry-level job in the marketing department should be a breeze if you have other complementary skills. This is what you’ll do:
- Firstly, use tools for custom reporting and analytics;
- Secondly, Firstly, track traffic and monitor customer behavior;
- Finally, manage advertisements, and more.
Marketing professionals need analytics to reduce the amount of money they waste on unprofitable campaigns. They are to make smart decisions on leveraging the existing resources to the best advantage. The average pay for market research analysts is not far behind data management jobs. An annual sum is approximately $63,000.
Actually, one needs a minimal understanding of data science to succeed in this role. A skilled graduate can aim for a long and established career.
These positions are certainly challenging yet rewarding for those with passion. Furthermore, as we have already established, the remunerations are also quite appealing. Data science has many diverse learning paths that can be tailored to your interests and any industry. The age of data managers have only just begun, and the opportunities are within your arm’s reach.