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03.
Building a Career in Computer Science
As data analytics becomes more relied upon across many different industries like finance, healthcare, and insurance, those with data analytics and computer science skills will have all kinds of opportunities available to them.
These are extremely marketable skills that employers love.
Key Industries
With so much money being lost to bad data every year, there is an ever-growing demand for those with data analytics skills to fill those gaps. Here are some of the fields where you could help:
- Insurance
- Hospitals/Healthcare
- Manufacturing
- Logistics
- Retail
- Energy
- Agriculture
- Real Estate and Property Management
- Telecommunications
Your job title and responsibilities will vary by industry, but your contributions will be crucial no matter where your interests lie.
Career Paths and Salary Expectations
So you know that data analytics skills are in high demand — but what can you earn? Results may vary depending on industry, company, and level of experience.
There are generally two main tracks you go down in this field: Data Analytics and Data Science. Here's a quick snapshot of the salary, job titles, and responsibilities for each.
Data Analytics
Data analysts, as we mentioned earlier, are responsible for helping stream efficiency, increase profitability, and contribute to the organization’s success by interpreting large data sets and proving business recommendations based on their findings.
Here are some common job titles and earning insights if you pursue the path of data analytics:
- Data Analyst: $61,600
- Quantitative Analyst: $83,900
- Business Intelligence Analyst: $85,274
- Data Analytics Consultant: $106,328
Data Science
The biggest function that separates data scientists from data analysts is that data scientists design and develop new processes for data modeling and production using predictive models, prototypes, algorithms, and custom analysis.
Data scientists are typically tasked with designing data modeling processes that give insight to business leaders. They'll also create predictive models and algorithms needed to solve complex business problems.
While your official job title will likely be "Data Scientist," your expected earnings will increase with experience and seniority.
- Entry level jobs pay around $86,300
- Median level jobs pay around $112,000
- Senior level jobs pay around $128,000
Source
As you can see, there is plenty of opportunity for growth and advancement once you’re in the data analytics field. And the data analytics skills you develop are transferable, opening up doors to the career path that matches your interests and ambitions.
