Learn how data analysts and business analysts work with data to drive better business decisions (and find out which might be a better career fit for you).
![[Featured image] A business analyst interviews an employee. Both have their laptops in front of them.](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://images.ctfassets.net/wp1lcwdav1p1/2ikAM5JjHw3bdXQGNSm2zJ/d4558b43d0b1aaea6013a73c5069cb37/dat_analyst_vs_business_analyst.png?w=1500&h=680&q=60&fit=fill&f=faces&fm=jpg&fl=progressive&auto=format%2Ccompress&dpr=1&w=1000)
Data analysts and business analysts both help drive data-driven decision-making in their organizations. Data analysts tend to work more closely with the data itself, while business analysts tend to be more involved in addressing business needs and recommending solutions. Both are highly sought-after roles that are typically well-compensated.
Explore what makes each role unique and why you might choose to pursue either as a career.
Business analysts and data analysts have similar roles, and some companies might use the terms interchangeably. While both types of analysts use data to improve business decisions, they do so in different ways.
Data analysts gather, clean, analyze, visualize, and present existing data to help inform business decisions. An effective data analyst uses data to answer a question and empower decision-makers to plot the best course of action. Common tasks for a data analyst might include:
Working with business leaders and stakeholders to define a problem or business need
Identifying and sourcing data
Cleaning and preparing data for analysis
Analyzing data for patterns and trends
Visualizing data to make it easier to understand
Presenting data in such a way that it tells a compelling story
Business analysts help identify problems, opportunities, and solutions for their organizations. They do this by:
Evaluating a company's current functions and IT structures
Reviewing processes and interviewing team members to identify areas for improvement
Presenting findings and recommendations to management and other key stakeholders
Creating visuals and financial models to support business decisions
Training and coaching staff in new systems
BI analysts are somewhat of a hybrid between business and data analysts. They use analysis, modeling, and visualization of industry trends and the competitive landscape to help businesses cut losses and increase profits.
Business and data analysts can come from a wide variety of academic backgrounds, though most companies look for candidates with at least a bachelor's degree. Generally speaking, business analysts might have a degree in a business-related field, while data analysts often have degrees in STEM fields like statistics, math, or computer science.
Earning a graduate degree with a focus on data analytics could help open opportunities for advancement in either field.
Data analytics and business analytics each involve a slightly different skill set. While both occupations work with data, they do so in different ways. Explore some common skills for each in the chart below.
| Data analyst | Business analyst |
|---|---|
| Data analysis | Needs analysis |
| Statistics | Prototyping |
| Knowledge of data structures | Knowledge of business structures |
| SQL and statistical programming | Microsoft Visio and software design tools |
The two roles share several skills as well. Whichever path you choose, you can set yourself up for success by being a good:
Oral and written communicator
Problem solver
Critical thinker
Organizer
Collaborator
The in-demand skills involved in data and business analysis often draw high salaries. According to Indeed, business analysts in Canada earn an average base pay of $76,268 CAD [1]. Meanwhile, data analysts bring in an average base pay of $71,438 CAD [2]. The salary you can expect to earn in either position will vary based on factors like where you live and work, your highest level of education, and your experience in the field.
Both a career as a data analyst and a career as a business analyst offer the opportunity to help organizations solve problems using data. If you're considering a career as a data analyst, start building a foundation of job-ready skills with the Google Data Analytics Professional Certificate on Coursera. Interested in business analytics? Start building fluency in business data strategies with the Business Analytics Specialization from the University of Pennsylvania.
If you already have experience and want to take your data or business analyst career to the next level, build your skills with the Google Business Intelligence Professional Certificate or Google Business Intelligence Professional Certificate. These advanced, self-paced courses will prepare you for in-demand roles like business intelligence analyst or junior data scientist.
这两种职位都需求量大、薪酬高。最适合你的选择取决于你独特的兴趣、技能和职业目标。如果你更倾向于数学和统计学,那么数据分析师职位可能会很适合你。如果你更倾向于解决商业问题,那么可以考虑商业分析。
是的,数据分析师可以成为业务分析师(反之亦然)。许多技能是重叠的。转行从事业务分析的数据分析师可能需要完善他们在业务结构和流程原型设计方面的知识。希望更密切地与 Data Set 打交道的业务分析师可以培养自己的 SQL、统计编程和数据管理技能。
数据分析师来自不同的教育背景。数学、统计学和计算机科学学位往往教授工作所需的数学和分析技能。但是,商业学位可以让您具备分析商业问题和有效沟通解决方案的能力,这也是非常重要的技能。
Indeed. "Business Analyst Salaries in Canada, https://ca.indeed.com/career/business-analyst/salaries." Accessed March 8, 2025.
Indeed. "Data Analyst Salaries in Canada, https://ca.indeed.com/career/data-analyst/salaries?from=top_sb." Accessed March 8, 2025.
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