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Transition Your Analytics Career and Become a Senior Data Analyst

Data is everywhere and to analyze data we need data analysts with updated skills. Enroll yourself into a senior data analyst certification program and break into the data analytics career.


IBM and Burning Glass Insights predict there will be over 2.7 million job openings for professionals with data skills by the end of 2020, up from 2.35 million in 2015. Moreover, since 40 percent of these job openings require candidates with a Master’s degree, likely, companies will not be able to bridge the gap as desired.

With data becoming the core business needs, organizations have now started seeking workers who can gather and analyze data as per their requirements. Workers with data literacy are valued across industries, projecting a career in big data analytics a potentially lucrative career for candidates of all backgrounds.

However, there is always one query that strikes every individual, be it someone looking to launch a career in big data or someone seeking a higher position in the field – how do I get started?

Before moving further, let us talk about industries that are specifically looking to hire data analysts.

Factories are constantly looking to improve production yields. Therefore, if you can boost the yield by one or two percent, this could still mean adding millions of dollars to drug manufacturers or a chip. And while the majority of the organizations are aggressively working on automating data analytics, near about 80 percent of the jobs are yet to be automated, and 20 percent that has been automated is not fully functional. Most importantly, any type of problem a machine learning solves is a softball problem. But tough problems need one or more people to solve the problem. Thus, big data analytics isn’t going away soon, and the need for data analysts will keep expanding.

Three major steps to jumpstart your career as data analysts.

  1. Education – a Bachelor’s degree or a Master’s degree in subjects like computer science, mathematics, statistics, economics, applied sciences, engineering, social sciences, and finances. If the candidate is a Bachelor’s graduate they may need to possess at least two years of work experience working with statistics, business analytics, computing, and business intelligence. While a Master’s graduate will only need one year of work experience in the same related field. 
  2. Certification – if you’re looking to gain an edge in the data analytics field, earning a senior big data analyst certification is a great option. Professional certifications validate your skills against the industry. Moreover, employers, these days are keen on hiring candidates who have hands-on experience with the latest tools and technologies.
  3. Real-world experience – besides earning a great degree and professional certification, advancements through real-word is an added benefit. You can start collaborating with different teams and work on different projects. Doing so demonstrates your versatility in handling sensitive and high-pressure work environments. It provides a leadership approach for candidates looking to take on senior positions.

Some of the must-have skills for a data analyst include Microsoft Excel, Structured Query Language (SQL), R and Python programming, Data Visualization, Machine Learning, Critical Thinking, and Presentation Skills.

According to research, about 70 percent of the US executives stated they would be needing skilled candidates in big data by 2021. The growing job opportunities in big data analytics will increase the demand for big data professionals.

As a data analyst, the median salary package ranges from USD 79,281 to USD 106,000 per year, according to PayScale.

However, if you’re already in this field and looking to upgrade your career, you might want to consider the below job careers.

  • Big Data Engineer: USD 127,250–USD 219,500
  • Data Architect: USD 111,500–USD 187,750
  • Data Scientist: USD 102,750–USD 175,000
  • Database Manager: USD 108,000–USD 183,000

What are you waiting for, jumpstart your career, and get into big data analytics today?

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