Best entry-level data analyst jobs

The best entry-level data analyst jobs include operations analysts, business intelligence analysts, and healthcare data analysts. A lot of data analysis jobs require training to become proficient, so most companies are going to be willing to train you to become an expert at analyzing a specific type of data. Data analysts are in high demand, so it's likely you'll be able to find an entry-level position that doesn't require experience in the field. If you're looking to get started in data analytics, then here are ten possibilities:

1. Operations Analyst

   Average Salary: $63,082

   Operations analysts serve an essential role within the operations team that supports data management, trade processes, client reporting, and problem resolution. They have to ensure data systems integrity by working closely with the operations team and the client support services manager. Their work focuses on several areas, including maintaining trading systems and portfolio accounting, creating and verifying client performance files, and performing electronic operations reconciliation. To be qualified for this position, one should possess several qualities, including proficient computer skills, excellent communication skills, and attention to detail.

2. Business Intelligence Analyst

   Average Salary: $80,249

   The primary job of business intelligence (BI) analysts is to analyze data and identify areas of improvement for an organization. These professionals are responsible for identifying trends that may help managers, executives, and other departments make better decisions to improve company processes and modernization. Other duties include identifying areas of revenue loss and ways to maximize profit, analyzing competitors' use of BI, and implementing new methodologies and data analysis. This role is particularly analytical and needs a balance of communication, information technology, and problem-solving skills.

3. Healthcare Data Analyst

4. Cybersecurity Analyst

5. Manufacturing Analyst

6. Financial Analyst

7. Quantitative Analyst

   Average Salary: $101,197

   A quantitative analyst is trained to gather quantitative methods to help companies do business and make other related decisions. In the world of trading, quantitative analysts are in demand. It is their job as quantitative analysts to help banks value their securities. They identify cost-effective investment opportunities and measure risk. They can also work for the insurance companies to develop pricing models and assess risk evaluation strategies. Also, some quantitative analysts work on the back end to enhance computer software and to evaluate financial data.

8. Data Analyst

   Average Salary: $74,342

   Data analysts are responsible for interpreting the company's statistics and providing sound recommendations to the organization. They manage the organization's data sets, usually related to market performance, finance, or human resources. They are in charge of studying the available data, spotting trends, interpreting what the data and the trends mean, and recommending suggestions that will help the organization perform better. Their recommendations should also be relevant and backed up with strong analyses. Data analysts are expected to have a good grasp of the current market trends in the industry.

9. CIS Analyst

10. Database Administrator

    Average Salary: $81,960

    Database administrators use specially designed software to keep, organize, restore, and secure data for businesses, employees, and customers from unauthorized people or unwanted users. They search for potential security risks or issues and proactively correct or find appropriate solutions. They are highly trained tech experts who work full-time for establishments that give computer design services or in industries that have huge databases, such as educational academies, institutions, and insurance firms. It is their responsibility to closely monitor the database system to ensure efficiency and functionality. They work jointly with information systems managers to customize database solutions based on corporate needs. They also coordinate the systems that data analysts use for translating numbers into strategic business plans.