There has been a significant surge in the number of jobs opening within the Analytics industry in the past few years. One thing that most people might not understand is whether these jobs all require the same skill set. As the sector continues to grow, a good number of people have a growing interest in the potential career trajectories here. Most of the people seeking these answers are professionals who wish to take a break from their analytics jobs.
Others are people working in the industry but seeking a challenge. If you have also been seeking a prospective career in analytics, there are a number of opportunities for you. The following are 6 career opportunities that you will find in analytics.
1. Data Analyst
Being a Data Analyst is undoubtedly among the most prominent career opportunities in this industry. These professionals are needed in various sectors in order to represent interpreted data in different forms, to deduce actionable insights. A Data Analyst with a DBA in Data Analytics needs to be good with Access, SQL, SharePoint as well as Excel.
They should also know how to use data modeling, data visualization and data mining tools. As a Data Analyst, you might also be required to isolate and simplify data from various systems, for further analytics.
2. Data Scientist
Another major career opportunity in Data Analytics is becoming a Data scientist. Their work is collecting and analyzing data, that can then be translated into actionable insight. As a Data scientist, your job will include working with advanced analytics as well as complex data.
To be efficient in your position you will need solid expertise in Data Analytics. That includes a good understanding of data visualization and programming language.
3. Business Analyst
Every organization could use the expertise of a BA. That is especially if the business deals with IT services, or product. As a Business Analyst, you need to be knowledgeable in that particular domain that you are in. Your tasks will include updating, testing, maintaining, and installing business process systems for your organization.
An example of such systems includes data processing. Luckily, you don’t need to have a very deep knowledge of Data Science.
4. Data Engineer
Data Engineers focus on massive sets of data. They are often tasked with optimizing organizations’ infrastructure for several Data Analytics processes. As a Data Engineer you need solid skills on data programming and visualization. Apart from that, you also need to be experienced in testing and developing solutions to be effective at your job.
5. Product Analyst
A Product Analyst’s job is to manage product-related processes such as analyzing new or existing products, and planning. They also ensure that the products that are being used by the organization are in good working conditions.
If you want to take up this role, it’s important to understand the skills needed for the job. Have a deep knowledge of tools used in Data Science such as SQL, R, and Python.
6. Financial Analyst
In the finance industry, data is used for making significant financial decisions such as investments and financial planning. This therefore creates the need for Financial Analysis. A Financial Analyst is really a Data Analyst who incorporates finance domain knowledge and expertise. These professionals gather several insights, which they then make a financial interpretation from. If you wish to advance your Data Analyst career by including a background in Finance, this is the perfect role.
As a Financial Analyst you are expected to have knowledge and experience in Data Science. Apart from this, you require knowledge in financial assets like trading, bonds, as well as stocks.
There are several other major career opportunities in this field. They include Data Journalism, Database Administration, and being a Data Visualization Specialist. If you have been considering joining this field, there is no better time than now. Because of the different career options, you will always have the opportunity to seek further knowledge and even change careers paths within the industry.
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