The present is the best time to learn data analytics. Because data analytics career paths are promising and opportunities are available in different industries. Moreover, most data analytics career options allow for flexible schedules, remote work, and self-employment.
According to the US Bureau of Labor Statistics, Data Science is amongst the top 20 quickest-growing occupations.
Moreover, it has projected a growth of 31% within the next 10 years. Additionally, job opportunities for data analytics are available beyond the digital and tech industries.
Data analytics: What do you need to know?
Data analytics is a field focused on analyzing data to find evolving trends. The data analytics job is mainly about reviewing different data points to develop new strategies. These strategies will help businesses to improve their profitability and efficiency.
Businesses usually collect different types of data from their clients. The data analysts then thoroughly examine these data sources to help businesses make more informed decisions.
Efficiently analyzing current market trends can help businesses to identify the type of investments offering increased profit.
Reasons to choose data analytics
A data analytics career is appealing for multiple reasons. These more often include:
- Higher average salaries
- Greater opportunities for career advancements
- Enhanced growth for skilled people.
Besides these, some other reasons people may not know before choosing data analytics. So, here we have enlisted those to help you make a more informed decision:
- Improved problem-solving skills
- A balance of interpersonal communications and technical work
- Data science expertise is transferable to various industries
- Flexible working hours
- Few necessary qualifications
- Amazing variety of data analytics career options.
All of these reasons are certainly enough to choose a data analytics career.
Top data analytics career options with description and pay
Do you want to know about possible data analytics career paths with significant potential and growth opportunities? Data analytics is a career path that the majority of people are exploring at present. Data analytics has become a rapidly growing career option in recent years.
Most importantly, this rapidly growing field provides an array of job options for skilled people. Therefore, we have enlisted the top 5 data analytics career options you must consider here.
So, here we go:
The average salary range of data analysts lies between $44,000 to $86,000 per year.
The job function of a data analyst is exactly what its name reveals. A data analyst has to analyze a company’s data to extract emerging trends. Data analyst works in almost every industry and may work with industry-specific names.
A data analyst is responsible for collecting and analyzing large data sets. They then analyze the data from multiple streams to draw certain conclusions. They are also in charge of data-related things such as analysis, reporting, incoming data accuracy, etc.
The average salary range of data scientists lies between $67,000 and $134,000 per year.
Although the key responsibility of a data scientist is to analyze and examine data like a data analyst. However, the main function of a data scientist is to develop a framework to make an analysis happen. This practice more often includes:
- Implementation of statistical algorithms and models
- Running data testing
- Optimizing frameworks
- Developing data products
All these things help them to analyze their data better to reach accurate business conclusions.
A bachelor’s degree is usually essential to land the role of a data scientist.
The average salary of an entry-level data engineer is about $77,000 per year. However, it can increase up to $115,000 on average for seniors.
Data engineers are usually responsible for identifying anomalies and trends in data sets. They more often focus on larger data sets. Moreover, their job is to optimize infrastructure for various data analytics processes.
For instance, a data engineer needs to focus on the data-capturing process to improve the efficiency of pipeline acquisition. They often also need to upgrade their database infrastructure to ensure faster queries.
Overall, high-level data engineers are usually high-paid.
The salary range of marketing analysts lies between $41,000 to $78,000 per year.
However, a marketing analyst is responsible for helping businesses better understand their markets and potential audience.
More often, a marketing analyst is responsible for analyzing data sets regarding the target demographic of the company. Then they use their analysis to develop efficient marketing strategies. These strategies will help businesses to connect with their audience better. Moreover, they can also become efficient in marketing their business to the existing customer base.
The average salary of a data architect usually falls between $77,000 and 156,000 per year.
Just like an architect, a data architect also designs structures for organizations. Businesses will use these structures to acquire, analyze, organize, utilize, and manage data.
This also considers translating business goals into a data management framework and how the data flows through this framework.
So, these are some of the most amazing data analytics career paths to consider. Choosing these career paths can help you enjoy amazing benefits and higher salary packages.