Data analytics play an increasingly important role in business across numerous industries, helping to keep demand high for professionals that have the right skills to complete the work. Since there is a shortage of qualified IT workers focused on the field, many find opportunities for strong salaries and other compensation.
To help clarify what the future appears to hold for those interested in analytics as a profession, here is an overview of what the career path has to offer.
Most professionals working in the field of data analytics are employed in full-time positions with a specific company. The earnings potential varies depending on the particular duties involved, which is traditionally reflected in the job title. Here is a quick guide to available annual salaries for full-time employment based on the job title:
- Data Analyst: $60,000 – $75,000
- Data Architect: $110,000 – $130,000
- Data Engineer: $110,000 – $130,000
- Data Scientist: $120,000 – $150,000
- Data Quality Analyst: $70,000 – $110,000
It is important to note that a job title may have two different meanings depending on the company hiring for the position. With that in mind, take the time to read the details to see which salary range is likely represented by the work.
While contract work in the field isn’t particularly common, the competitive market may lead some businesses to explore hiring contractors to meet immediate needs, especially when the analytics work is relegated to a particular project or singular goal. That means the chance to work as a contractor may grow in the future.
To begin a career in data analytics, most professionals need a minimum of a Bachelor’s degree in a related field, such as information technology or applied statistics. Some higher level positions may require an advanced degree while others will allow a combination of education and experience to be considered qualified.
Additional technology-related skills are also a necessity. In most cases, an understanding of SQL is useful, as well as experience with analytical software like SAS. Some of the required skills may be obtained through a traditional degree program while others may be gained on the job or through separate training opportunities.
Other knowledge areas commonly needed to be a top performer in the field of data analytics include data modeling, visualization, and export, transform, and load (ETL) processes. Certain programming languages, like Python, are also helpful, as well as an understanding of Hadoop technology.
How a career in analytics progresses depends on the amount of initial education and training is obtained. However, a position as a Data Analyst is traditionally seen as the most entry-level opportunity. Data architects, data engineers, and data scientists are all potential evolutions of a data analytics career path depending on how a person chooses to specialize.
Data architects and engineers are typically responsible for the design and organization of data infrastructure for a business, but still have duties associated with analysis. Data scientists focus on analytics as a priority. Each specialty is often critical to creating a successful data analytics team, so each can provide a multitude of opportunities for skilled professionals to work and advance.
Are you looking for new job opportunities?
If you are interested in exploring job opportunities in the field of data analytics, Solving IT can help you on your journey.