Top Data Analyst Entry Level Jobs to Jump-start Your Career

If you want to pursue a career in data analytics or transition to data science, here’s what entry level jobs you can expect as a data analyst.

There is an increasing demand for data professionals in many different industries across the globe. A career as a data analyst or data scientist guarantees you a career that has significant potential and almost limitless opportunities. These are 7 data analyst entry level jobs that will jump-start your career.

1. Data Analyst

Average salary: $61,071

Salary range: $44,000–$86,000

Data analysts are responsible for gathering large sets of data, organizing it, and then analyzing it. Their analysis is then used to draw conclusions that will inform decisions made about the business or organization. This could include what price to sell a product at, how to cut costs, or how to improve customer satisfaction. Data analysts are also responsible for managing everything to do with the data from generating reports to verifying incoming data. 

Generally, a bachelor’s degree in math, finance, statistics, or computer science is required. There are, however, many businesses which will consider candidates who have completed boot camp-type courses. 

Salaries range from between $44,000 to $86,000 per annum. 

2. Data Scientist

Average salary: $96,208

Salary range: $67,000–$134,000

Data scientists create the framework needed to examine data so that it can be analyzed by a data analyst. They will create algorithms, test statistical models, run data testing, and continuously optimize their frameworks to improve reporting so that they can extract the information the business needs and present it in a way that it can be analyzed effectively and accurately. 

Many companies prefer to employ candidates who have advanced degrees but a bachelor’s degree in computer science, statistics, math, or engineering will often be enough to get your foot in the door. 

Salaries range from between $67,000 and $134,000 per annum.

3. Machine Learning Engineer

Machine learning engineers are essentially programmers. They devise the algorithms, systems, models, and frameworks that allow machines to learn and perform functions independently. Machine learning engineers transform models designed by data scientists into code that can then be used in production.

Machine learning engineers should have a bachelor’s degree in math, computer science, statistics or any other related field. They should also be fluent in programming languages like Python and Java. Some businesses will require candidates to have an advanced degree.

Salaries range from $76,000 to $154,000 per annum.

4. Business Intelligence Analyst

Business intelligence analysts are tasked with utilizing data to improve a business or organization. They need to gather, organize, and analyze industry data from within the company and externally in order to identify patterns, trends, or potential problems. Business intelligence analysts need to be able to create actionable strategies from their analysis to improve the business.

A bachelor’s degree in math, computer science, statistics, or a related field is required as this is a highly technical position. A business intelligence analyst will also often have an advanced degree, typically an MBA. 

Salaries range from $51,000 to $95,000 per annum.

5. Logistics Analyst

Logistics analysts are responsible for optimize supply chain processes by using data analysis. This includes all parts of the process from procurement to delivery. Data is used to identify potential profits and losses within the supply chain. Logistic analysts will then use their analysis to develop solutions which will streamline the production, distribution, and delivery of products and improve the company’s profits.

Typically, logistics analysts will have a bachelor’s degree but companies will often consider candidates who have solid experience in logistics and supply chain management.

Salaries range from $44,000 to $83,000 per annum.

6. Data Architect

Data architects design the framework and structures an organization needs to gather, organize, analyze, manage, and utilize data effectively. They will need to be able to translate business objectives into a data management framework they have designed as well as define how data flows through the framework. Data architects work closely with other teams and engineers to implement the framework throughout the organization.

Data architects generally hold a bachelor’s degree in computer science or computer engineering as well as advanced degrees.

Salaries range from $77,000 to $156,000 per annum.

7. Business Systems Analyst

Business Systems Analysts are responsible for improving and organizations systems and processes by analyzing and leveraging data. They analyze current systems using data tools and then devise ways to optimize them as well as cut costs, and generally make information technology in the company more effective. Business systems analysts will also identify new systems and tools that will improve the company’s IT set-up and then implement them throughout the organization.

Business systems analysts will usually have a bachelor’s degree in information systems or technology management. Companies do often consider candidate without a degree if they have a track record in IT and a business background.

Salaries range from $51,000 to $98,000 per annum.

8. Marketing Analyst

Marketing analysts are responsible for analyzing data in order to improve a company’s understanding of their customers and the market they are operating in. They will analyze data related to the target market of the company like market research, customer surveys, website statistics, and purchasing trends to develop marketing strategies. This helps companies identify potential customers and ways in which they can market their products or services more effectively to their existing customers. Marketing analysts must have the ability to translate their analysis into presentations that are understood by non-technical departments so that they can be implemented effectively. 

Marketing analysts generally have a bachelor’s degree and can come from a range of courses such as economics, business, psychology, math, or statistics.

Salaries range from $41,000 to $78,000 per annum.

As you can see many data analyst entry level jobs offer excellent opportunities and earning potential. On top of that data and analytics is a field where future growth is guaranteed making it an ideal career path for anyone who has an affinity with numbers and technology.

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