5 High Paying Data Analytics Jobs
Every day we perceive, absorb, analyze, and pass by a huge flow of information. The XX and XXI centuries became periods of genuine breakthroughs in human civilization development and made the data one of the most valuable assets ever created by man. It is not surprising that today, the profession of data analyst plays a significant role in the life cycle of every company - whether it is a start-up or a huge corporation. The existence of many data analytics jobs generates demand in the labor market and more and more people choose to grow in this direction. Let's be honest — this is not the easiest and fastest path. You will need to study a lot of material, perhaps ask for assignment help at getcodinghelp, gain experience, and work in more than one company to become a real data analyst guru. Although the journey to success is a thorny one, it is definitely worth the result. Data Analytics jobs are prestigious, highly paid, and are in incredible demand. We have prepared for you the most high-paying data analytics jobs in 2020.
What Does a Data Analyst Do?
As a rule, Data Analyst works with information blocks, executing the whole set of operations independently:
- data collection;
- data preparation for analysis (sampling, cleaning, sorting);
- a search of regularities in information sets;
- data visualization for a quick understanding of current results and future trends;
- formulating hypotheses to improve specific business metrics by changing other indicators.
All these tasks are necessary to achieve the primary goal of data analytics — to extract information valuable for business for making optimal managerial decisions.
What Must a Data Analyst Know?
Based on the tasks described above, we can identify the following areas of knowledge required for data analytics:
- Information technology - methods and tools for intelligent data analysis (Data Mining) - programming languages (R, Python, etc.) and SQL-like languages for writing queries to non-relational and relational databases, as well as BI-systems, ETL-storage and data showcases such as Tableau, Power BI, QlikView, etc., as well as the basics of Apache Hadoop infrastructure;
- mathematics (statistics, probability theory, discrete mathematics);
- system analysis, quality management, project management, and business process analysis methods (lean manufacturing approaches, SWOT, ABC, PDCA, IDEF, EPC, BPMN, MTSP, etc.).
In addition, applied knowledge and practical experience specific to the subject area in which Data Analyst works will be very useful. For example, the basics of accounting will be useful for data analytics in a bank, and marketing methods will help in analyzing information about customer needs or assessing new markets.
5 High Paying Data Analytics Jobs
Data Scientist
Data Scientist is an expert in analyzing volumes of data. He or she usually has a mathematical mindset, understands how statistical analysis works, and can see and find patterns. In general, they do not have a certain specialization for work, because data sets exist in any field. The task of Data Scientist is to create models for improving work processes with the help of data analysis.
Average salary: $113,309
Tech Business Analyst
A business analyst is a universal fighter for work with market and data analysis, financial planning, business modeling. A business analyst in the IT industry is an irreplaceable player who is basically a bridge between the technical department and the executive branch of the company.
Average salary: $117,618
Statistician
Statisticians collect empirical data from areas such as insurance, demography, social work, quality management, medical, and pharmaceutical research, market and public opinion research, or scientific research. They use models and methods of data analysis to assess the data obtained. Results can be the basis for making business decisions, understanding the situation, for example, to describe customers' behavior or for forecasting or risk assessment purposes. Statisticians can also be consultants. They may help, for instance, with the collection, processing, and interpretation of statistical data or with the use of statistical software.
Average salary: $113,670
Operations Research
Analyst
Operations research analyst is responsible for helping companies make the right decisions and make their processes more efficient and cost-effective. They use advanced math analysis, data modeling, statistical modeling to achieve the results.
Average Salary: $102,113
Quantitative analyst
A quantitative analyst is a person who specializes in applying mathematical and statistical methods - such as numerical or quantitative methods - to financial and problem-risk management. They help companies make decisions related to pricing, investment, etc.
Average salary: $115,172
The profession of a data analyst is in demand in absolutely any business industry — from agricultural enterprises to the medical sector. Moreover, by gaining basic knowledge of data analysis, you get tremendous opportunities for growth and personal development in different directions. You can work for a company, do freelance work, or open your own consulting agency. This niche is currently being actively developed and will be in demand for a long time. Everything is in your hands.
