Data analysis – Hot industry with high salary season 4.0

Why Data Analytics (data analytics) is so hot?

1. Satisfying the difficult problem for businesses in the digital economy

Jack Ma once said that the center of the technological era that is growing like a storm is data. In fact, for today’s modern organizations, database-based decision-making is playing a key role with much greater accuracy. This trend makes business processes more efficient, timely and simpler. Data analysis always has a certain role in every business:

Analyze, interpret and transmit data in meaningful ways

– Predict consumer trends and behavior

– Promote effective decision-making

– Increase business productivity

It can be said that analyzing data helps managers make informed decisions to drive development, improve efficiency, increase profitability and achieve organizational goals.

The efficiency of data analysis is also demonstrated through the culture of measurement. If all working groups, from production to marketing, sales, customer care … all have specific metrics, work efficiency will be quickly assessed.

2. The most “seductive” industry in the 21st century

Demand for human resources increased

Jeanne Harris, senior executive director at Accenture Institute for High Performance (AIHP), also emphasized the importance of analysts “… data is useless without people with the skills to analyze it.”

According to Glassdoor, the average salary of 1 data analyst is about 84,000 USD / year, while in Vietnam, this figure is also over 470 million / year according to TopDev statistics. This income is higher than average, which makes data analysis a highly lucrative and lucrative profession – and voted the “sexiest” profession of the century.

In 2020, the number of Data Analytics jobs will reach more than 2,500,000 compared to previous years, enough to see how “thirsty” the human demand for this industry is.

Many job opportunities

For the data analysis profession, in Vietnam alone, it can be distributed in almost all different areas of society: finance, banking, securities, insurance, advertising, consumer, private consulting, supply management and logistics, public services …

In the data driven age, those who are at the forefront of this field are likely to be regularly sought by headhunter (headhunter).

Top priority in many businesses

According to Peer Research – Data Analytics research in 2018, one of the top priorities for organizations participating in the survey is the data analytics industry (Data Analytics) because it allows business owners to understand operations. business is much more accurate. Any position, any field in a company need data analysis skills. CMO needs to process marketing data, make effective communication and advertising strategies; CCOs need to analyze the indicators to provide behaviors to optimize the revenue scale; Corporate governance needs to read and understand the data, come up with a business strategy: Short – Medium – Long term for its own company. In each different position, to grasp data analysis skills as well as to read the right customers in the business, to prepare and bring out the best food – the most nutritious that customers really need.

3. What does it take to become a professional data analyst?

Convert raw data into storytelling numbers

Because of this soaring demand, if you are an analytical mind and data-processor, the sooner you enter the industry, the better your chances of advancement and your income. The most essential skills any data analyst should have:

– Good logic:

– Do not be afraid to explore, ask difficult questions

– The ability to focus, be careful, pay attention to details

– Good arrangement and management skills, but also flexible and flexible

No need to really be a math superstar or graduate from a major in Data Analysis can still become a successful data analyst.

Gold solution for those who are looking to change careers, financial professionals, business analysts or managers who want to grasp data readings, make strategies for their businesses.

Instead of spending time looking for a training center, and a year to study, it is completely possible to choose a data analysis course “ahead – ahead” from a data analyst 15 years in the profession at Cole.

Become a data analyst after 10 lessons:

– Master 9 general thinking about basic word data analysis – specializing in: Data Mining, OLAP, OLTP, 6 data layers, conceptual dimension, elephant drawing, logoization technique …

– Proficient in 5 most popular data analysis tools today such as: Power query, Pivot table, Pivot chart, Data model, Slice & dice

– Comprehensive and self-systematized 9 data analysis processes for each

– Process and model data into “easiest to read” information forms, information is visually vividly with beautiful dashboards.

– Together with Cole, elevate his career in 2020 with the course “Proficient in data analysis skills with experts”, up to 60% off for the 29 earliest registered students!

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