Is Big Data Analytics a Good Career Choice?

Big data is all about what organizations do with the massive amount of data collected on a day-to-day basis. The data gets collected at a faster rate in varied forms and large volumes. It is used by organizations and businesses to discover patterns and trends to understand human behavior. It helps to know how humans interact with technology, what products or information he consumes, and many more. These data are further used to make decisions for human benefit and profit. The analytics industry is doubling every 5 years. Big data analysts are trending. Almost every organization out there is recruiting data analysts to keep up with the humongous amount of data being generated every second and to wring actionable insights out of them. No doubt, the data analyst career path is something worth talking about. 'Is Big Data Analytics a good career?' If this is something that you have been asking about, then you will get your answers here. The data analytics career is unarguably one of the hottest options in the contemporary job market. But, what makes it dominate all other software jobs?

Title: Big Data Analyst

A big data analyst is someone who specializes in the analysis and presentation of large and complex data sets. This includes the identification, collection and analysis of big data for the purpose of improving decision making and gaining a competitive advantage in the market.

Must have technical skills required by the role

- Structured Query Language (SQL)
- Hadoop
- Microsoft Excel
- R or Python-Statistical Programming
- Data Visualization combined with any popular BI tool
- Presentation Skills
- Machine Learning

Soft skills required by the role

- Able to think logically and analytically in a problem-solving environment
- Imaginative, with skills in creative reasoning
- Able to work independently or as part of a team
- Good oral and written communication skills
- Able to accept responsibility
- Willing to continually update skills and knowledge

Typical Duties & Tasks of a Big Data Analyst

- Research how data is used and look at ways to improve use and efficiency
- Review and develop collection systems, processes and reporting
- Write reports describing findings, sometimes for publication
- Translate and extrapolate data
- Cross-reference and draw inferences from large, multiple data sets
- Present data and findings for a range of audiences.

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Competitive Salary

Students and young people who are logically driven, computer-savvy, and excellent communicators looking to make an above-average income while working for fixed hours should look into a Big Data Analytics as a career move. The ravager salary is about $122K in US for a Big Data Analyst.

Demand is Huge

It's not just tech companies jumping on board, either. There are opportunities to apply data analysis skills across a wide range of industries. The current demand for qualified data professionals is just the beginning. A majority of the organizations are in the process of implementing it or actively planning to add this feature within the next two years.

Relatively Easy to Start

The role represents the involvement of programming frameworks that contain Python, R, or Scala - regardless, the power to think of ways to crack through to a solution is also essential. Keeping a natural desire to find solutions, regardless of your present profession, Data analytics makes it much more comfortable and enjoyable to learn languages that are in demand and to specialize with time.

Key Role in Decision-Making

Analytics has become an immediate competitive resource for every organization today. We can notice that only essential analytics are being conceptualized and embraced by enterprises. When you encourage superior decision-making capabilities and make use of strategic industries, the analytics stands out against the options lying in the battle. In this context, we can say that Big Data Analytics will grow in adding more excellent value and will present the vital information for taking the business levels to a greater height. It will also ensure the timely delivery of business decisions.

Increasing enterprise adoption of Big Data

Big Data Analytics is one of the top priorities of the organizations as they believe that it improves the performances of their organizations.

Flexible career options

When it comes to job positions and roles, Big Data is one of the most versatile career options. As Analytics is a crucial tool used in many different fields, you get a host of job titles to choose from including; BD Engineer, BD Analyst, BD Architect, BD Business Consultant, Data Scientist.

Start-ups growing in this area

Worldwide, big data is showing a huge increase in start-ups operating in the Big Data space. These are the ones which are also receiving funding and are showing a significant growth pattern. The start-up boom has also contributed to the demand for big data analysts and it is likely to continue increasing.

Fits in every industry

Every industry is focusing on how to use big data for business and people decisions. The power of analytics is being explored and harnessed by companies from all spaces and even all sizes. That translates into a range of jobs being created within each sector, for which individuals with this expertise will be needed. It is also being forecasted that the rise in demand for these roles far outweighs the current supply. The role itself is not limited to a specific sector, even though it is a specific skill-set.

Shortage Of Big Data Analytics Talent

It is not that easy to find the right talent in data analyst's jobs, although there are many young professionals aiming for a bright career as a data analyst. The individual should be proficient in technical aspects like data mining and analytics; have a thorough understanding of statistics, and should be passionate and knowledgeable about the domain in which the business functions. Frankly, it is hard to find individuals with all the required skill set and data analyst certification. This dearth of real talent makes the right ones avail huge pay packages. While some companies struggle to find candidates with advanced technical skills, others fail to meet people who truly understand the 'rhythm of data'. The demand for data scientists is likely to far outstrip supply, creating a big deficit in the big data analytics talent market for many years to come.

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Expectation vs. Reality

There is an ever-widening gap between what data analysts expect and what they actually work on in the industry. There are multiple reasons for this and they can vary from one job to another. The level of experience also plays a part in this expectation chasm. Data science projects typically involve a lot of experiments, trial and error methods and iterations of the same process before they reach the final outcome. It takes months and months to arrive at the desired outcome. This does not go down well with business leaders in a lot of spheres. I have seen this lead to a mass exodus in projects when data scientists eventually get too frustrated with their senior leadership and their unrealistic expectations. This mismatch in expectations is a major roadblock and leads to a widened gap between expectations from both sides.

Conclusion

Consider the growing realization about the power and possibilities of data analysis. Triggering factor for the increase in salary and demand of data analyst is the emergence of e-commerce companies who are accumulating large and varied sets of data. Although learning big data analytics may come with certain prerequisites like industry-domain expertise and knowledge of some specific tools, it will prepare you for multiple job opportunities across various industries and domains. While the job market may look bleak from an oncoming recession, you can stave off some of the negative impact by embracing the scope of big data that is likely to rebound from this period quickly, and even thrive in these trying times.
Good luck, it is going to be fun !

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