Dive into the vast field of data analytics and understand the diverse job roles it offers. Explore the skills and academic qualifications required to secure popular jobs like Financial Analyst, Freelance Data Analyst, Hospitality Analyst, Business Analyst, and many more.
Key Insights
- Data Analysts process and analyze large stores of data to locate information and trends about past and current practices, offering predictions about what is likely to happen at a company or business based on these numbers.
- Job titles for Data Analysts include Financial Analysts, Freelance Data Analysts, Hospitality Analysts, Business Analysts, Research Analysts, Marketing Analysts, Database Developers, Social Media Analysts, and more.
- Data Analysts are in high demand across all fields as companies expand their analytic capabilities to keep up with the ever-growing stream of data that must be processed and analyzed.
- Financial Analysts guide individual stakeholders and businesses on how best to invest money and resources in order to maximize profit.
- Freelance Data Analysts enjoy the flexibility of choosing their own hours and working from remote locations around the U.S. or world. They have the additional benefit of selecting interesting projects.
- There are a variety of learning options available for students looking to deepen their knowledge in data analytics, including classes offered by Noble Desktop in Excel, Python, data science, and data analytics technologies, among others.
Within the broad field of data analytics, dozens, if not hundreds, of jobs exist, with different titles, skill requirements, and industry focuses. This article will explore some of the most popular jobs currently available for Data Analysts.
What Does a Data Analyst Do?
Regardless of the industry focus, Data Analysts process and analyze large stores of data to locate information and trends about past and current practices, as well as offer predictions about what is likely to happen at a company or business based on these numbers. In addition, they transform these numbers into engaging visualizations that are accessible to all members of a team or business. These clear and engaging visual aids can be used to help employers make sound business decisions.
Data Analysts are in high demand across all fields as companies expand their analytic capabilities to keep up with the ever-growing stream of data that must be processed and analyzed. Cloud computing, along with mobile data traffic and AI technologies, is part of a rapid expansion not only of the volume of data that has to be stored and processed but also its complexity.
Job Titles for Data Analysts
Many exciting career options available for both those who are just getting started in the field of data analytics, as well as those who have been working in this industry for years and are searching for new career paths.
The following is a list of some of the many jobs available for those interested in pursuing a career in this timely and in-demand profession:
- Financial Analysts work to guide both individual stakeholders, as well as businesses or companies, about how best to invest money and resources in order to gain the maximum profit.
- Freelance Data Analysts have many career perks. Freelancers can largely choose their own hours, and can work from remote locations around the U.S. or world. In addition, Freelance Data Analysts have the additional benefit of being able to select interesting projects. After several years of building a client base, companies often hire freelancers as Consultants who work to improve business operations and overall efficiency.
- Hospitality Analysts work with data directly relevant to the hospitality industry. They aid hoteliers with formulating a strategy that can be used to manage revenue, increase profits, and reduce the occurrence and severity of dips in booking.
- Business Analysts leverage data to extract business insights that can be used to spot issues as well as provide recommendations for improved business operations. These suggestions often pertain to the structure of the organization, the staff’s efficiency, and how well IT processes are functioning. At the core of a Business Analysts’s job is the goal of helping their organization be more productive and reduce costs.
- Research Analysts work to confirm the validity and accuracy of data to confirm that the information it yields is helpful. Once data is collected, Research Analysts incorporate statistics, math, and various models of analysis to pinpoint patterns for and future business opportunities.
- Marketing Analysts help companies determine which services or products they should sell, how much they should cost, and which customer base to target. By examining market conditions, consumer purchasing patterns, and the practices of competitors, Marketing Analysts play an integral role in helping organizations make more profitable, sound decisions.
- Database Developers study database processes with the goal of updating them, improving their efficiency, and getting rid of inefficient coding. Database Developers keep track of how existing databases are performing and work to establish new databases.
- Social Media Analysts work with data pertaining to brands. They also evaluate the success of social media campaigns, as well as how content is performing. This information helps them provide actionable recommendations to key stakeholders.
- Healthcare Analysts review medical data so that they can provide advice about how best to improve the business component of medical facilities. Their job often involves evaluating data from various sources, creating or updating record-keeping systems, and drafting status reports.
- Risk Analysts study organizations’ investment portfolios in order to gain insights into the level of risk associated with various decisions. Their skills with data analysis help them approximate potential losses for a given project, as well as to offer suggestions aimed at mitigating this risk through avenues such as currency exchanges, diversification, or other investment techniques.
- Data Modelers work to transform huge stores of data into helpful insights, such as spotting macro and micro trends and writing reports based on this information. Data Modelers generally have a background in statistics and information science, as well as programming skills.
- Operations Analysts perform research on company operations in order to provide management with the necessary information to make sound decisions, revise and update policies, and improve overall operations.
- Data Journalists are currently needed at news agencies to sort through large stores of data in order to separate reliable information from “bad” data. Data Journalists are tasked with processing and conveying this information simply and directly.
- Data Architects are the ones who invent, design, and implement various data frameworks that will then be constructed by Data Engineers. Their daily tasks involve creating visualization models and systems, and proposing solutions to improve the architecture of data.
- Database Administrators search for problems in databases, then work to address them. Their job also involves helping with design elements and the actual physical implementation of storage hardware.
- Logistics Analysts work with data to streamline and improve supply chains so that they are as efficient as possible from procurement until the point of delivery. These professionals rely on data to spot areas of potential profit loss and use this information to implement solutions to improve the entire process.
- Weather Analysts study atmospheric occurrences and analyze data pertaining to meteorological events in order to provide forecasts and reports. They not only must have a sound understanding of math and statistics, but also a familiarity with meteorology.
In addition to the above-mentioned job opportunities for Data Analysts, there are also a variety of less-convention career paths in this field as well, such as Restaurant Data Analyst and Baseball Front-Office Analyst. No matter which professional focus you choose, the great news is that there are many high-paying data analytic jobs currently available for those with the proper training and experience.
Hands-On Data Analytics & Data Visualization Classes
There are a variety of exciting learning options available for students looking to take a deep dive into data analytics. These courses provide industry-relevant job training that can open many professional doors. For those who want to learn more about how to process, analyze, and ultimately visualize big data, Noble Desktop’s data analytics classes are a great starting point. Courses are offered in New York City, as well as in the live online format in topics like Excel, Python, data science, and data analytics technologies, among others.
Are you interested in transforming raw data into stunning data visualizations? If so, you may want to consider enrolling in one of Noble Desktop’s data analytics classes. Courses are offered in New York City, as well as in the live online format in topics like Excel and data analytics. These unique learning experiences provide participants with relevant and timely training on some of the most popular data visualization libraries, such as Pandas, NumPy, and Matplotlib, among others.
In addition, more than 180live online data analytics courses are also available from top providers. Topics offered include FinTech, Excel for Business, and Tableau. Courses range from three hours to six months and cost from $229 to $60,229.
How to Learn Data Analytics
Master data analytics with hands-on training. Data analytics involves the process of drawing insights from data analysis and presenting them to leaders and stakeholders.
- Data Analytics Certificate at Noble Desktop: live, instructor-led course available in NYC or live online
- Find Data Analytics Classes Near You: Search & compare dozens of available courses in-person
- Attend a data analytics class live online (remote/virtual training) from anywhere
- Find & compare the best online data analytics classes (on-demand) from the top providers and platforms
- Train your staff with corporate and onsite data analytics training