Skip to main content
HomeBlogCareer Services

The Top 10 Data Analytics Careers: Skills, Salaries & Career Prospects

Explore the top jobs in data analysis with these ten careers. Discover the skills you’ll need to get started, plus the salaries and career prospects for these analytics careers.
Jan 2023  · 13 min read

If you’re considering a career in data analytics, you may already know that roles such as data scientist, information security analyst, and statistician all feature in the top 10 fastest-growing occupations in the US. Yet there are many different roles to consider when it comes to careers in analytics. 

Here, we outline 10 of the top careers related to analytics, exploring the role and responsibilities, required skills, average salary, and career prospects. We've also collated some courses to learn data analysis to help you get started. 

Why Choose a Career in Data Analytics? 

If you’re reading this article, you’re likely already curious about analytics careers. You may have heard about the high earning potential and high demand of these roles. While these are certainly both true, there are other reasons to consider a job in this field, including: 

  • Variety of roles. There are many different types of roles within the field of analytics, including data scientists, business analysts, and data engineers, which means that there is likely a role that aligns with your interests and skills.
  • Use of technology. Analytics professionals use cutting-edge technology and tools to extract insights from data, which can be exciting and challenging.
  • Impactful work. Professionals in this industry can play a crucial role in helping organizations make data-driven decisions, which can have a significant impact on the success of the organization.
  • Career advancement. As you progress in this industry, you’re likely to find opportunities for career advancement, with many professionals starting in entry-level roles and working their way up to management positions.
  • Job security. As data becomes an increasingly important asset for organizations, the demand for analytics professionals is likely to continue to grow, providing job security in the field.

Other reasons to work in an analytics job include the flexibility modern organizations offer, the continuous learning on offer, and the opportunity to work with like-minded professionals. 

The Top 10 Data Analytics Careers 

As we’ve touched on already, there are quite a few roles that utilize analytics in their day-to-day work. We’ve picked out ten different analytics jobs that you might want to consider. 

1. Data Scientist

If you’re curious about how to become a data scientist, we’ve got a full article covering the steps you need to take. Essentially though, this role is about working to deeply understand and analyze data to provide actionable insights. 

Job Responsibilities:

  • Collecting, analyzing and interpreting large sets of complex data
  • Using statistical and machine learning techniques to identify patterns and trends in data
  • Making predictions and informing business decisions

Required Skills:

  • Background in computer science, statistics, or mathematics
  • Proficient in programming languages such as Python and R

Average Salary:

  • According to our data scientist salary article, the average for a role in the US is $102,988, although this depends on the exact location, role, organization, and individual.

Career Prospects:

Course to start with:

2. Business Intelligence Analyst

In brief, a career in business intelligence analytics focuses on helping organizations make data-driven decisions by analyzing and interpreting complex data. In this role, you’ll use a variety of tools and techniques to extract insights from data and present this information in a clear and actionable format to decision-makers.

Job Responsibilities:

  • Collecting and analyzing data to help organizations make better business decisions
  • Using data visualization software to present data in a way that is easy for non-technical stakeholders to understand

Required Skills:

  • Background in business or a related field
  • Experience with data warehousing and BI tools such as Power BI, as well as SQL, Excel, and Tableau

Average Salary:

  • According to data from Glassdoor, the average base pay for a business intelligence analyst in the US is $88,600 per year. 

Career Prospects:

  • Strong, with the Bureau of Labor Statistics (BLS) projecting an 11% growth in employment in this field between 2019 and 2029. 

Course to start with:

  • Our Introduction to Power BI course teaches you how to use the data visualization software to build impactful reports.

3. Data Engineer

If you want full details on how to become a data engineer or want to learn more about what a data engineer does, we have separate resources dedicated to the topic. This particular analytics career is one of the most technical profiles in the field of data science, bridging the gap between software and application developers and traditional data science positions. 

Job Responsibilities:

  • Designing and building the infrastructure and systems that support data collection, storage, and analysis
  • Managing and maintaining large data sets and databases
  • Ensuring data is accurate, accessible, and secure

Required Skills:

  • Strong programming skills in languages such as Python, Java, and SQL
  • Experience with big data technologies such as Hadoop and Spark

Average Salary:

  • As we explore in our article about data engineer salaries, the average for this role in the US is around $115,000 per year.

Career Prospects:

  • Strong, as more and more organizations rely on data to inform their decision-making. LinkedIn recently highlighted that engineers are in high demand still, with data engineers being top of the pile. 

Course to start with:

  • With the Data Engineer with Python career track, you can kick-start your journey to becoming a data engineer and learn the essential skills. 

4. Business Analyst

You may have noticed that we’ve already mentioned the business intelligence analyst role above. However, this role is slightly different. We covered how to become a business analyst in one of our webinars, which shows why careers in business analytics are so popular. You can also find out more about business analyst certification in a separate article. 

Essentially, while both roles focus on collecting, analyzing, and visualizing data, identifying pain points, and generating reports, business intelligence use mainly descriptive analytics, while business analytics uses diagnostic, predictive, and prescriptive analytics. You can learn about the types of analytics in a separate post.

Job Responsibilities:

  • Identifying and analyzing business problems and opportunities
  • Developing solutions to improve business processes and performance
  • Communicating with stakeholders to gather requirements and provide recommendations

Required Skills:

  • Strong analytical and problem-solving skills
  • Excellent communication and presentation skills
  • Experience with project management
  • SQL, Excel, and Tableau

Average Salary:

Career Prospects:

  • Strong; business analysts are in high demand across a variety of industries, and the BLS predicts a 25% growth by 2030. 

Course to start with:

5. Marketing Analytics Manager

There are various ways to use data science in marketing. A marketing analytics manager brings many of these functions together. They are responsible for using data and analytics to inform and optimize marketing strategies. It’s a career in data focused on collecting and analyzing data on areas like consumer behavior, marketing campaign performance, and market trends to gain insights that inform and improve marketing efforts.

Job Responsibilities:

  • Collecting and analyzing data to inform marketing strategies
  • Using data to improve the effectiveness of marketing campaigns
  • Communicating with stakeholders to gather requirements and provide recommendations

Required Skills:

  • Strong analytical and problem-solving skills
  • Experience with data visualization and marketing analytics tools
  • Strong communication and presentation skills
  • SQL, Excel, Python, and R

Average Salary:

  • According to Glassdoor, marketing analytics managers can expect a salary of around $112,942 per year in the US. 

Career Prospects:

  • We couldn’t find any exact figures on marketing analytics manager roles, but market research analysts, a close comparison, are expected to grow 19% between 2021 and 2031. 

Course to start with:

  • With our Marketing Analytics with Python skill track, you’ll learn how to analyze campaign performance, measure customer engagement, and predict customer churn.

6. Financial Analyst

In a separate post, we explored how financial analysts can leverage their data skills. It’s a role that requires heavily quantitative and data-oriented skills, analyzing data, communicating insights, creating forecasts, and predicting outcomes. 

Job Responsibilities:

  • Collecting and analyzing financial data to inform business decisions
  • Identifying trends and patterns in financial data
  • Developing financial models and forecasts

Required Skills:

  • Strong analytical and problem-solving skills
  • Experience with financial modeling and analysis
  • Strong communication and presentation skills
  • SQL, Excel, R, and Python

Average Salary:

  • According to Glassdoor data, the average financial analyst salary is $73,135 per year. 

Career Prospects:

  • Strong, the BLS projects employment growth for financial and investment analysts of 9% from 2021 to 2031.

Course to start with:

7. Quantitative Analyst

We’ve created a whole guide on how to become a quantitative analyst, an analytics career focused on using mathematical and statistical techniques to help organizations make financial decisions. As a quant, you may work in areas such as in risk management, portfolio management, and trading. 

Job Responsibilities:

  • Using mathematical and statistical techniques to model financial and economic systems
  • Identifying patterns and trends in data
  • Developing and implementing quantitative investment strategies

Required Skills:

  • Strong analytical and problem-solving skills
  • Background in mathematical or quantitative fields such as engineering, physics or mathematics
  • Experience with programming languages such as Python and R

Average Salary:

  • Data from Glassdoor shows that the average salary for a quantitative analyst is $144,349.

Career Prospects:

  • Strong, as quantitative analysts are in high demand in the finance industry. According to LinkedIn data, at the time of writing, over 15,000 quantitative analyst jobs were being advertised in the US.

Course to start with:

  • Get started with our Quantitative Analyst with R career track and cover all of the essential areas to start your career in analytics. 

8. Risk Analyst

Risk analysts help organizations identify, assess, and prioritize potential risks that could impact their business operations. They use a variety of tools and techniques to evaluate the likelihood and potential impact of different risks and then develop strategies to mitigate or manage those risks. As far as careers in analytics go, this is up there among the most interesting. 

Job Responsibilities:

  • Identifying and assessing potential risks to an organization
  • Developing and implementing risk management strategies
  • Communicating with stakeholders to gather requirements and provide recommendations

Required Skills:

  • Strong analytical and problem-solving skills
  • Experience with risk management and analysis
  • Strong communication and presentation skills
  • Knowledge of Python, R and SQL

Average Salary:

  • The average annual salary for a risk analyst is $81,026 according to Glassdoor

Career Prospects:

  • Strong; one report from Allied Market Research suggests that the risk management market will grow from a worth of $2.62 billion in 2020 to $15.15 billion by 2030.

Course to start with:

9. Data Governance Analyst

As a relatively new career in data, these professionals help organizations ensure that their data is accurate, consistent, and compliant with legal and regulatory requirements. They work to establish policies, procedures, and standards for data management and ensure that these are being followed throughout the organization.

Job Responsibilities:

  • Developing and implementing data governance policies and procedures
  • Ensuring data is accurate, accessible, and secure
  • Communicating with stakeholders to gather requirements and provide recommendations

Required Skills:

  • Strong analytical and problem-solving skills
  • Experience with data governance and data management
  • Strong communication and presentation skills
  • Knowledge of SQL, Python, and Java

Average Salary:

  • Salary data from Glassdoor shows that the average pay per year for data governance analysts is $96,859. 

Career Prospects:

  • Strong, as data governance becomes increasingly important with the growing amount of data being collected and stored. Data suggests that the data governance market was worth $2.06 billion in 2021 and is forecast to grow to $10.93 billion by 2030. 

Course to start with:

10. Data Visualization Engineer

Another relatively new career is that of data visualization engineer. These professionals are responsible for designing, developing, and maintaining data visualization systems and dashboards. They use a variety of tools and technologies to create interactive and visually appealing representations of data that enable users to quickly and easily understand complex data sets.

Job Responsibilities:

  • Designing and developing interactive data visualizations
  • Using data visualization software and tools to present data in a way that is easy for non-technical stakeholders to understand
  • Communicating with stakeholders to gather requirements and provide recommendations

Required Skills:

  • Strong analytical and problem-solving skills
  • Experience with data visualization software and tools such as Tableau, D3.js, and R Shiny
  • Strong communication and presentation skills
  • Skills in Python and R, Tableau, and Power BI

Average Salary:

  • Glassdoor shows that the average data visualization engineer salary in the US is $97,198. 

Career Prospects:

  • Strong, as data visualization becomes increasingly important for organizations to make sense of large sets of data.

Course to start with:

  • We have a range of tracks and courses covering data visualization, including in technologies such as Python, Power BI, R, and Tableau.  

Top Analytics Career Skills

You’ll notice that many of the careers in analytics we’ve listed here have similar foundational skills. As well as basic analytical, problem-solving, and communication skills, you’ll also need a range of technical skills. We’ve highlighted some of the key ones below. 

Programming languages 

Ultimately, to work in data analysis you’re going to need to be able to work with several different programming languages. Although you might be trying to decide between SQL vs Python, for example, you’ll eventually need to master both to work in analytics. 

Similarly, languages such as R and Julia are also part of most analysts' wheelhouse. Your best bet is to determine what kind of analyst you want to be and start learning the most relevant language for you. You can read about the top programming languages for data scientists in a separate blog post. 

Data visualization

To present your work with impact, you’ll need to be fluent in data visualization. Again, languages such as Python and R are often the preferred choice among data scientists, but tools such as Tableau and Power BI are also worth learning, as they are often used in businesses. 

Master your data skills with DataCamp

More than 10 million people learn Python, R, SQL, and other tech skills using our hands-on courses crafted by industry experts.

Start Learning
learner-on-couch@2x.jpg
Topics
Related

A Complete Guide to Alteryx Certifications

Advance your career with our Alteryx certification guide. Learn key strategies, tips, and resources to excel in data science.
Matt Crabtree's photo

Matt Crabtree

9 min

AWS Cloud Practitioner Salaries Explained: Skills, Demand, and Career Growth

Explore AWS Cloud Practitioner salaries and learn how certification opens doors to high-demand careers and competitive rates.
Nisha Arya Ahmed's photo

Nisha Arya Ahmed

6 min

Scaling Enterprise Analytics with Libby Duane Adams, Chief Advocacy Officer and Co-Founder of Alteryx

RIchie and Libby explore the differences between analytics and business intelligence, generative AI and its implications in analytics, the role of data quality and governance, Alteryx’s AI platform, data skills as a workplace necessity, and more. 
Richie Cotton's photo

Richie Cotton

43 min

[Radar Recap] Building a Learning Culture for Analytics Functions, with Russell Johnson, Denisse Groenendaal-Lopez and Mark Stern

In the session, Russell Johnson, Chief Data Scientist at Marks & Spencer, Denisse Groenendaal-Lopez, Learning & Development Business Partner at Booking Group, and Mark Stern, VP of Business Intelligence & Analytics at BetMGM will address the importance of fostering a learning environment for driving success with analytics.
Adel Nehme's photo

Adel Nehme

41 min

[Radar Recap] From Data Governance to Data Discoverability: Building Trust in Data Within Your Organization with Esther Munyi, Amy Grace, Stefaan Verhulst and Malarvizhi Veerappan

Esther Munyi, Amy Grace, Stefaan Verhulst and Malarvizhi Veerappan focus on strategies for improving data quality, fostering a culture of trust around data, and balancing robust governance with the need for accessible, high-quality data.
Richie Cotton's photo

Richie Cotton

39 min

[Radar Recap] Scaling Data ROI: Driving Analytics Adoption Within Your Organization with Laura Gent Felker, Omar Khawaja and Tiffany Perkins-Munn

Laura, Omar and Tiffany explore best practices when it comes to scaling analytics adoption within the wider organization
Richie Cotton's photo

Richie Cotton

40 min

See MoreSee More