Business Analyst vs. Data Analyst: What’s the Difference? was originally published on Forage.
What’s the difference between a business analyst vs. data analyst? In some organizations, these roles are interchangeable. However, business analysts generally take a more comprehensive role, bridging the gap between data analysis and a business’s goals. On the other hand, data analysts typically focus on digging through vast amounts of data and providing insights for a company to use in decision-making. For instance, a data analyst often handles in-depth data analysis, and a business analyst applies their findings to the business as a whole.
What Are Business Analysts?
Business analysts work at the intersection of information technology (IT) and business, empowering companies to make and implement data-driven decisions.
The day-to-day for a business analyst involves trying to “understand business needs [and] identifying opportunities for improvements in processes and operations,” says Dave Savio, data scientist, machine learning engineer, and founder of Artifactory.ai.
A business analyst must be able to analyze large sets of data and communicate their findings effectively to key stakeholders to drive these insights and decisions. At the same time, they need to ensure that any solutions created align with the larger business goals and strategies.
What Are Data Analysts?
Data analysts have a broad profession — some focus on finding business solutions in data, while others may work on verifying the quality of data. Regardless of the specific role, data analysts must be able to sort, clean, and analyze data effectively.
Within the data, a data analyst needs to be able “to identify trends, patterns, or insights,” says Savio. “Their goal is to translate data into actionable information.”
Some day-to-day responsibilities of a data analyst may include:
- Using data to assess and minimize risks
- Compiling data assets to deliver complete stories and insights
- Measuring hypotheses based on business problems
- Delivering compiled and analyzed data to key stakeholders
To accomplish these tasks, data analysts “often use statistical tools and software like Python, R, SQL, and Tableau,” says Savio. These tools allow them “to dive deep into data sets and derive meaning.”
Data Analyst vs. Business Analyst Salaries
Roles that focus on analyzing data often pay well — companies rely on people who can parse through information and make meaningful decisions. For instance, management analysts, a specific type of business analyst, earn an average of $104,660 per year, according to the U.S. Bureau of Labor Statistics (BLS). Similarly, data scientists (a common role in the data analyst career path) have an average annual salary of $115,240, according to the BLS.
Ultimately, salaries for business analysts vs. data analysts depend on location, company, and experience level. In general, the more experienced the analyst is, the more responsibilities they will have, which usually comes with a higher salary.
How to Become a Business Analyst vs. Data Analyst
Education and Background
To become either a business analyst or data analyst, you typically need at least a bachelor’s degree. Both careers can benefit from the skills learned in STEM degrees, such as information technology, data science, or mathematics.
Business analysts need a strong understanding of how businesses operate, so coursework in finance, business, and economics is helpful. Some business analysts also seek out advanced degrees, like a Master of Business Administration (MBA) or even a Ph.D. in business. These advanced degrees can make you more marketable and improve your career advancement opportunities.
>>MORE: Explore some of the top career options for computer science majors.
A professional certification can prove to employers that you have the necessary skills and experience. General analytics certifications can be great for either business or data analysts — the most common option is the Certified Analytics Professional (CAP) designation.
Business analysts have a range of business-specific analytics certification options, such as the Project Management Institute’s Professional in Business Analysis (PBA) and the International Institute of Business Analysis’s Entry Certificate in Business Analytics (ECBA).
Data analysts can choose from professional certificates administered by some of the leading tech companies in the world. Some options include Google’s career certificate in data analytics and the Cloudera CDP Data Analyst certification. Data analysts also need certain skills, like programming in Python — you can often learn these skills through other forms of education that also include certificates, like coding bootcamps.
Data analysts need specific hard skills, such as:
- Strong programming language knowledge (Python, R, SQL)
- Data visualization (Tableau and Power BI)
- Data cleaning
- Data management
- Machine learning
On the other hand, a business analyst should possess competencies including:
- Some programming skills (Python and SQL)
- An understanding of process modeling
- Familiarity with agile methodologies
- Experience using business intelligence tools to create dashboards and reports
Bottom Line: What’s the Difference?
In many organizations, business analysts and data analysts work together to tackle complex business problems. While business analysts can dig deep into large data sets, they also understand how businesses operate and can align problem-solving efforts to a business’s specific goals and objectives. On the other hand, data analysts are masters at cleaning, organizing, and parsing through vast amounts of information and finding meaningful insights from data.
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