How to boost your career in Data and Analytics

The world is increasingly digital, and this means big data is here to stay. In fact, the importance of big data and data analytics is only going to continue growing in the coming years. It is safe to say, there is no better period to choose a career path in data.

Data professionals can expect lucrative earnings, with median salary for data scientists within the UK currently being £57k. Those in the entry level are to also expect to find high salaries, with average UK earnings of £36k. The market also favors the candidates, as close to 80% of data scientists say there is currently a shortage of professionals working in the field. Due to talent shortage, in-house recruiters find data jobs the hardest positions to fill, yet they are considered the most valuable employees when it comes to sustaining and building their corporation.Furthermore, as more companies realize the need for specialists in big data and analytics, the demand for data professionals is only expected to grow.

What Type of Education is Needed?

In total, 92% of data scientists hold a degree.

• 8% have a bachelor’s degree
• 44% have a master’s degree
• 48% have a Ph.D.

Some of the most common certifications include:

• Certified Analytics Professional (CAP)
• EMC: Data Science Associate (EMCDSA)
• SAS Certified Predictive Modeler
• Cloudera Certified Professional: Data Scientist (CCP-DS).

The various certifications are for specific competencies in the field.

Multiple Job Roles

Many who are working in the field today have more than one role in their job description.

Professionals may act as researchers, who mine company data for information. Quite commonly, they may also be involved with business management. Overall, around 40% data professionals work in this capacity.

Others, may work in creative and development roles.

Being versatile and able to take on various roles will not only strengthen your CV, but will also make you more valuable to your organisation.

Willing to work in a variety of industries can help too. While the tech and start-up industry accounts for 41% of the jobs in data science, other fields will gradually require it more and more. This includes marketing, corporate, consulting, healthcare, financial services, government, and gaming.

Add More Skills

To become more attractive to companies, those who are in the big data and analytics fields can work to add more skills by taking additional courses. Some of the options to consider include:

• Hadoop and MapReduce
• Real Time Processing
• NoSQL Databases
• GTA Support
• Excel
• Data Science with R
• Data Science with SAS
• Data Science with Python
• Data Visualization — Tableau
• Machine Learning
• Cloublabs for R and Python

Continuing to take classes will provide you with the edge needed to become a valuable member to any team. It shows initiative and drive, and it makes you more of an asset to companies.

Keep Up With the Changes

Big data and analytics are far from static.

As technology changes and increases, so will the field.

It’s vital that those who are and want to remain in the data industry, to take initiatives and stay up-to-date with all changes, news, and updates.

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JamieAi is Here to Help!

We pride ourselves on having the largest pool of data scientists in Europe.

With a 95% response rate, JamieAi has become the go-to platform for data professionals! Our smart technology and human oversight makes sure you only get introduced to opportunities that match your skills, experience and interests.

For more information visit our website or email us

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