January 2, 2023

11 High-Paying Data Analytics Careers (January 2023)

11 high-paying data analytics careers

There’s never been a better time to learn data analytics and become a data scientist. The job outlook is promising, and the opportunities span multiple industries. The nature of the work often allows for remote work, flexible schedules, and even self-employment.

Furthermore, many data analytics experts command high median salaries, even in entry-level positions!

The Bureau of Labor Statistics considers data science among the top 20 fastest-growing occupations and has projected 31% growth over the next 10 years.

Plus, the skills and job opportunities in data science go beyond the tech and digital spaces. Let’s look at what you need to know as an analyst or data scientist — and what you’ll need to learn to get there.

Why Choose a Career in Data Analytics?

There are quite a few practical reasons why a data analytics career might be appealing. Here are just a few:

  • High average salaries
  • Growing opportunities for skilled workers
  • Plenty of room for career advancement

However, there are a few less obvious reasons why working in data analytics can be a great choice:

  • Interesting day-to-day work based on problem-solving
  • A good mix of technical work and interpersonal communications
  • Data science skills are transferable to many other careers
  • Typically flexible working hours and environments
  • Few mandatory qualifications — skills are more important than degrees or certifications
  • Plenty of learning resources — it’s easier than ever to learn everything you need to get a job in data analytics 
  • Wide variety of available opportunities

Interested? Let’s look at the highest-paying jobs in the field, and then we’ll explore the skills you’ll need to get there.

11 Jobs That Use Data Analytics

Before you start learning a new skill-set, you should understand the earning potential of related positions. 

Here are a few positions worth looking into, along with their median incomes.

1. Business Intelligence Analyst

A business intelligence analyst’s primary job is to extract value from their company’s data.

At most companies, BI Analysts need to be comfortable analyzing data, working with SQL, and creating data visualizations and models. Like most data roles, this job also requires strong communication skills.

In January 2023, BI Analysts earn an average salary of 80,323 USD per year, plus an average 7,000 USD cash bonus.

Check out our data analysis with Power BI skill path.

2. Data Analyst

A data analyst’s job functions are exactly what the job title implies — analyzing company and industry data to extract value.

Data analysts work in every industry, although job titles can vary. Some roles will have industry-specific names like “healthcare data analyst.” “Business analyst,” “intelligence analyst,” and other similarly named roles often overlap with data analyst roles.

Unlike data scientists, data analysts typically don’t need to be proficient in machine learning. Most data analyst jobs require programming and SQL skills, as well as statistical knowledge, comfort with the data analysis workflow, and data visualization skills.

In January 2023, the average salary for a data analyst is 72,443 USD per year, with an additional bonus of 2,000 USD.

If you’re interested in a data analyst career, we have a data analyst career path that will take you from complete beginner to job-ready. 

3. Data Scientist

Much like analysts in other roles, data scientists collect and analyze data and then communicate actionable insights. Data scientists are often a technical step above data analysts. They can understand data from a more-informed perspective to help make predictions. 

These positions require strong knowledge of data analytics, including software tools, programming languages like Python or R, and data visualization skills to communicate their findings.

These positions are challenging and rewarding, with an average salary of 145,145 USD. The demand for data analytics experts with technical backgrounds is at an all-time high.

Launch your data scientist career with our data scientist path

4. Data Engineer

Data engineers often focus on larger datasets — it’s their job to optimize the infrastructure surrounding different data analytics processes.

For example, a data engineer might focus on the process of capturing data to improve acquisition pipeline efficiency. They may also need to upgrade a database infrastructure for faster queries. These high-level data analytics professionals are well-paid, with median salaries comparable to data scientists at 94,262 USD.

Our data engineer path will walk you through everything you need to know to launch a data engineer career.

5. Quantitative Analyst

A quantitative analyst is another highly sought-after professional, especially in financial firms. Quantitative analysts use data analytics to discover potential financial investment opportunities or risk management problems.

They may also venture out on their own, creating trading models to predict the prices of stocks, commodities, exchange rates, etc. Some analysts in this industry even go on to open their own firms. In January 2023, the median salary for quantitative analysts is 85,995 USD.

Want to become a quantitative analyst? We have courses to help you learn data analysis

6. Data Analytics Consultant

Like many of these positions, the primary role of an analytics consultant is to deliver insights to a company to help them make better decisions. 

While an analytics consultant may specialize in any particular industry or area of research, the difference between a consultant and an in-house data scientist or data analyst is that a consultant may work for different companies for short periods of time. They may also work for more than one company at a time, focusing on particular projects with clear objectives.

These positions are best suited to those who like change — and those who have a specific interest in a particular field of study. Analytics consultants often work remotely, which is another enticing aspect of this role.

Compensation varies widely by industry, but 87,068 USD is a representative salary for the role in 2023.

Get started as a data analytics consultant with our courses on data analysis

7. Operations Analyst

Operations analysts usually work internally at large companies, but they may also work as consultants.

Operations analysts focus on a business’s internal processes. This can include internal reporting systems, product manufacturing and distribution, and general business operations.

It’s important for professionals in these roles to have general business savvy, often with technical knowledge of the systems they’re working with. Operations analysts work in every type of business, from large grocery chains to postal service providers — even in the military.

In January 2023, operations analysts earn an average of 68,080 USD per year, with an average additional cash bonus of 3,750 USD. Due to the versatile nature of the data analytics job, and the many industries where you may find employment, the salary can vary widely.

Here are some courses to help you get started in data analysis. 

8. Marketing Analyst

Digital marketing also relies upon data analytics. Marketers often use tools like Google Analytics, custom reporting tools, and other third-party sites to analyze traffic from websites and social media advertisements. 

There’s usually a lot of money involved with marketing campaigns, so marketing professionals rely on analysts to make smart decisions about how to leverage existing resources.

While digital marketers enjoy a wide range of salaries, marketing analyst salaries average 65,792 USD, and they can rise above six figures for senior and management-level positions.

Interested in marketing analysis? We have courses that will help

9. Project Manager

Project managers use analytics tools to track a team’s progress, efficiency, and productivity. To do this, they need at least a working understanding of data analytics.

These positions are typically internal at large corporations, frequently in management consulting. 

Another career trajectory for project managers is product and supply chain management, which companies rely on to maintain profit margins and efficient operations.

In January 2023, a typical salary for a project manager is around 73,495 USD.

Want to become a project manager? We have courses to help you learn data analysis. 

10. IT Systems Analyst

Systems analysts design systems to solve problems in information technology.

The required level of technical expertise varies in these positions, and that creates opportunities for specialization by industry and personal interest. Some systems analysts use existing third-party tools to test software within a company, while others develop new proprietary tools by combining data analytics and business operations.

In January 2023, a typical IT systems analyst in the U.S. makes around 86,474 USD.

Prepare for a job as an IT system analyst with courses on data analysis

11. Transportation Logistics Specialist

A transportation logistics specialist optimizes transportation of physical goods, often for large shipping companies like Amazon or UPS, as well as naval transport companies, airlines, and city planning offices.

A data analytics background is especially helpful in this job because transportation logistics specialists need to reliably identify the most efficient delivery paths for products and services. They must look at large amounts of data to help eliminate transit bottlenecks, be they on land, at sea, or in the air.

Seasoned professionals in this industry make around 53,653 USD per year, making transportation logistics an appealing career path for detail-oriented, forward-thinking individuals.

Want to become a transportation logistics specialist? Learn everything you need to know to work in transportation logistics with our courses on data analysis

What Skills Are Necessary for a Job in Data Analytics?

Many of the jobs listed here require the same foundational skills. Make sure you’ve mastered these skills before you start job-hunting!

If you find a skill that you still need to learn, an affordable, self-paced data science course could be just what you need. Get started with the following fundamentals.


Python is currently one of the most commonly used programming languages.

Knowing how to use Python for data analytics is a requirement for many data science roles. But even if it isn’t required, knowing Python will help you stand out to potential employers.

If you’re ready to advance your programming language proficiency, learn how to manipulate and analyze data, and begin web scraping and data collection, you can start building web applications right away when you enroll in our Python for Data Science: Fundamentals Course.

 SQL (Structured Query Language)

Working with data sources is a necessary aspect of data analytics.

Early in your career, you’ll need at least a basic understanding of SQL (pronounced “sequel”). SQL is often a major component of these positions. When you interview, many hiring managers will mention SQL when asking about your work with databases.

The experience you’ll gain in our SQL courses is a good start. Like Python, SQL is a relatively easy language to learn. Even if you’re a novice, a little SQL experience goes a long way.

Knowing the basics of SQL will give you the confidence to navigate large databases. You can always seek out opportunities to learn more advanced SQL operations once you get your first job.

 Data Visualization Skills

Knowing how to visualize data and communicate results is a huge advantage for job seekers.

In the job market, these skill-sets are in high demand — and they pay! Regardless of the career path you’re considering, being able to visualize and communicate insights related to your company’s bottom line is a valuable skill.

At Dataquest, we equip students with data visualization skills in Python and R using data science and visualization libraries that will put you on the path to becoming an excellent data visualizer. If you want to learn this skill, check out our data visualization skill path.

Charlie Custer

About the author

Charlie Custer

Charlie is a student of data science, and also a content marketer at Dataquest. In his free time, he's learning to mountain bike and making videos about it.

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