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What Careers are Available in Data Science and Data Analytics?

A graphic of a person working on a computer studying for a data analytics degree with CIAT

CIAT. Edu offers program paths for people seeking a career in data analytics.

Data Science careers have created a buzz recently. Demand for Data Science positions is high and is likely to remain so. Several paths exist to prepare for these rewarding and complicated roles.

The Data Analytics industry encourages prospective students looking to break into the Data Science and Analytics fields to review the degree and certificate programs offered at schools like CIAT. Edu. This San Diego-based education institution offers several programs to equip students with the knowledge necessary for pursuing a career in data, including:

This article discusses the positives and challenges in the Data Science and Data Analytic fields and the top roles students should consider when applying for jobs.

Data Scientist – Ready for the Journey?

The U.S. is predicted to have over one million data scientists shortages in the next five years. Despite technological advances, gaps in data science talent still need to be addressed. Students with analytical skills and domain knowledge around analytics tools with experience in understanding market trends and other custom reports continue to be in high demand.

Data scientists are proficient in statistical analysis and better equipped than software engineers. This career path also requires a passion for information. Predictive models, statistical models, and analytical tools are everyday business functions that help organizations gain a competitive advantage. 

For example, Amazon tracks purchases, prices, and searches via data sets, enabling it to personalize the Amazon homepage view. Users searching for camping gear, baby products, or groceries will probably be presented with items that match these parameters on their homepages. This strategy helps users avoid irrelevant ads and product suggestions unrelated to their search queries.

High Demand for Qualified Data People

Data Science covers many areas, with various job roles such as data analysts and analytics directors. These roles include: Machine Learning Engineers, Business Intelligence Developers, Data and Business Analysts, Data Architects and Data Administrators, and Data Engineers. 

Machine Learning Engineer

A Machine Learning (ML) Engineer combines software engineering and data science. Data Analysis requires some knowledge of programming as machine learning is required. ML Engineers design systems to be implemented within organizational processes and procedures.

Business Intelligence (BI) Developer

As a BI Developer, your role is to design and develop strategies that enable business users to access the information they need for easy and informed decision-making. A BI Developer team has high data competency, often using BI tools and creating applications for analysis that enhance the user’s understanding of the system.

Organizational leaders leverage BI data dashboards daily to help measure everything from sales data to inventory turnover and patient care. Healthcare specifically has enabled BI to assist with resource allocation to drive nurses scheduling and doctor hours. 

Data and Business Analyst

Data scientists may begin their careers as Data Analysts or Data Engineers. Data Analysts use raw data from system sources. Companies employ personnel from various departments, such as marketing, sales, customer care, and finance, to assist with information processing. They are responsible for cleaning the data and finding solutions to business questions.

Solutions from a Data Analyst may feed into marketing campaigns and other advanced analytics tools powered by artificial intelligence, or may forecast trends for product engineering and development.

Data Architects and Administrators

Data Architects and Data Engineers work together to implement enterprise strategies related to data collection. They develop databases, optimize existing systems and design the data management flow process. Engineers build the infrastructure for such purposes. Data Architects must understand computing, storage, IOPS, and network capacity. The more data the organization hosts to feed into the various analytical programs, the more the hosting platforms need to support scalability and elasticity.  

Data Engineer

Data Engineers possess the knowledge to get large quantities of real-time data. They interpret unformulated or unverified data of an unstructured business or division. They maintain a sizable amount of data and create pipelines to render it accessible for analysis with the data teams. The data from the pipelines created by the Data Engineers will become actionable insights into predictive models. If the Data Engineer provides clean datasets, this will deliver valuable statistical knowledge to the organization. If the data is not clean and  has several inaccuracies, this could cause unsound business decisions. 

Knowledge for Today and in the Future

Data Scientists are in high demand, with the U.S. Bureau of Labor Statistics predicting a 27.9 percent increase in employment for this position by 2026.

To be prepared for future job opportunities, individuals should explore various educational and financial aid options to find the right program that meets their career goals while offering job placement possibilities.

Take the first step.

Building a strong coding portfolio takes hard work and dedication. Whether you’re just starting in the field or advancing your career, learning how to create an education plan that aligns with your career goals saves you time and money. This also delivers the most significant return on your investment.

Career Planning

You’ve chosen an education plan with a goal in mind, and now you’re focused on making the most of your educational resources to ensure you’re setting yourself up for success in the job market. The most impactful recommendation we give to all new CIAT students in the tech field is not to wait until graduation to start their IT career planning. When you begin your career planning steps from day 1 of your program, you graduate career-ready and are more likely to find your first job quickly, with competitive salary ranges.

Let us help you achieve your career goals.

When landing your dream job, CIAT supports its students every step of the way – ensuring you graduate with more than just a degree. Our IT career services team focuses on both your professional and personal development to help prepare you for a career in web development, mobile app development, information technology, cybersecurity, networking, and more.

Get certified, earn your degree, and start your path to a new career with:

  • Personalized career coaching
  • Industry certification workshops
  • Resume building
  • LinkedIn profile optimization
  • Mock interview practice
  • Job placement support
  • Dedicated job board
  • Specialty career-building workshops
  • Technology career fairs and employer “meet and greets”
  • Work study and volunteer opportunities

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