Career Pathways in Coding for Data

In 2020, LinkedIn analyzed millions of profiles to discover the highest in-demand skills among employers. The findings? Companies are looking for different types of skills - hard skills such as data analysis, business, marketing and UX design, and soft skills such as creativity, emotional intelligence and adaptability.

However, the demand for these skills outnumbers the supply of professionals who possess them, creating a skills gap. The Global Tech Experience works to close this gap. Upon completing a Track, you can expect to gain the hard and soft skills necessary to excel in your career.

If you’re unsure of what career path to take, we’re here to help you figure it out. Here are some of the most common career paths our graduates take after completing the Coding for Data Track.

Research analysts differ from other analysis fields in that their job is to analyze data as a function of research - be that for business, academics, government or otherwise. Research Analysts know and use SQL to extract data from databases, use that data to research a specific topic and then write reports of their findings.

Every industry employs research analysts. Many of them have higher education degrees and might work in academia. Research analysis also might be a function of another career path, such as marketing research or business strategy.

If you’re someone who is really interested in digging deep into data, you’d go far in a career as a Research Analyst, and could expect to make around $58,000 per year.

Software development focuses on designing and coding software. Software Developers are found in all industries, working to create business programs, anti-malware programs for protecting a company’s servers from malicious intent or assisting Website Designers in optimizing a website’s user interface.

Typically, a Software Developer is expected to know programming languages such as HTML, CSS, Javascript and Python. They should know how to both create software and modify any existing platforms. The average salary for software developers is around $74,000 per year.

Machine learning development is a highly specialized job position with responsibilities including creating machine learning and deep learning systems to be utilized by AI. In order to perform these tasks correctly and efficiently a deep understanding of data structures and software architecture is required, as well as the ability to write large-sized codes in Python, Javascript and other coding languages. Although code-writing is usually a singular job, expect to work as a part of a team - creating machine learning software is a labor-intensive, but rewarding career.

As this is a highly specialized job position, requiring technical skills that take time to develop, the average salary in the US is around $100,000 per year. However, in entry-level positions you may shadow other Machine Learning experts, making around $60,000 per year.

A Product Manager is responsible for managing an item from its conceptual idea to its production and marketing. They are responsible for catering to their customers’ requirements for each item and coordinating their team’s ability to meet expectations and deadlines.

Important skills include great attention to detail when it comes to the product, the ability to maintain communication with their team, as well as general knowledge of each team members’ responsibilities. Product Managers are able to extract data from company databases in order to make strategic decisions with regards to product development, so knowledge of coding languages like SQL and Python are beneficial to this role.

An average salary for a Product Manager in the US is around $65,000 per year.

“Educator” is a broad term, so we want to specifically discuss educators in the tech field. If you’ve spent enough time studying and learning the language of data, consider sharing this knowledge with others!

Companies hire tech educators as a way to grow the skills of their employees and boost personal development. If a career in academia sounds more appealing to you, a Master’s degree or Ph.D. in a tech field can guarantee you many career opportunities in addition to a university faculty position.

The salary for a tech educator varies depending on whether they work in private industry or in academia. For a private educator, you could expect to make around $63,000 per year. As an academic, and depending on the level of education, around $80,000 per year.

Journalists use SQL and Python to pull data from archives in order to uncover important facts and improve their reporting. Knowledge of these coding languages removes the necessity of utlizing a “middle man,” and allows a Journalist to quickly find the information necessary to write a compelling article.

Journalists also have some working knowledge of digital marketing strategies in order to publicize their story, and knowledge of website coding to quickly format a column for a digital format. Depending on the publication, Journalists make an average of $50,000 per year.

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Research Analyst

Software Developer

Machine Learning

Product Manager

Educator

Journalist

Data Analytics

Coding for Data

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