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Business intelligence developer vs data analyst

The differences between business intelligence developers and data analysts can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a business intelligence developer and a data analyst. Additionally, a business intelligence developer has an average salary of $92,540, which is higher than the $74,342 average annual salary of a data analyst.

The top three skills for a business intelligence developer include power bi, business intelligence and analytics. The most important skills for a data analyst are data analysis, python, and power bi.

Business intelligence developer vs data analyst overview

Business Intelligence DeveloperData Analyst
Yearly salary$92,540$74,342
Hourly rate$44.49$35.74
Growth rate21%11%
Number of jobs137,941167,520
Job satisfaction4-
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 65%
Average age3944
Years of experience44

What does a business intelligence developer do?

A business intelligence developer is primarily responsible for organizing and developing systems that will inform the company of essential data and solutions as a basis for decision-making. They are also responsible for coordinating with stakeholders and other high-ranking personnel to determine specific goals, develop models, conduct research and analysis, and gather data through various processes, ensuring accuracy and productivity. Furthermore, as a developer, it is essential to ensure that all processes adhere to the company's standards and policies.

What does a data analyst do?

Data analysts are responsible for interpreting the company's statistics and providing sound recommendations to the organization. They manage the organization's data sets, usually related to market performance, finance, or human resources. They are in charge of studying the available data, spotting trends, interpreting what the data and the trends mean, and recommending suggestions that will help the organization perform better. Their recommendations should also be relevant and backed up with strong analyses. Data analysts are expected to have a good grasp of the current market trends in the industry.

Business intelligence developer vs data analyst salary

Business intelligence developers and data analysts have different pay scales, as shown below.

Business Intelligence DeveloperData Analyst
Average salary$92,540$74,342
Salary rangeBetween $70,000 And $121,000Between $53,000 And $103,000
Highest paying CitySan Francisco, CARichmond, CA
Highest paying stateWashingtonNew Jersey
Best paying companyMetaThe Citadel
Best paying industryHealth CareFinance

Differences between business intelligence developer and data analyst education

There are a few differences between a business intelligence developer and a data analyst in terms of educational background:

Business Intelligence DeveloperData Analyst
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 65%
Most common majorComputer ScienceBusiness
Most common collegeMassachusetts Institute of TechnologyNorthwestern University

Business intelligence developer vs data analyst demographics

Here are the differences between business intelligence developers' and data analysts' demographics:

Business Intelligence DeveloperData Analyst
Average age3944
Gender ratioMale, 75.6% Female, 24.4%Male, 50.2% Female, 49.8%
Race ratioBlack or African American, 4.5% Unknown, 4.8% Hispanic or Latino, 8.3% Asian, 29.9% White, 52.3% American Indian and Alaska Native, 0.2%Black or African American, 7.5% Unknown, 4.4% Hispanic or Latino, 8.5% Asian, 14.5% White, 64.9% American Indian and Alaska Native, 0.2%
LGBT Percentage8%12%

Differences between business intelligence developer and data analyst duties and responsibilities

Business intelligence developer example responsibilities.

  • Used TFS for managing versions of the code with in the development team.
  • Develop VBA base application to automate testing of report output and test scenarios.
  • Manage security privileges for each subject area and dashboards according to user requirements.
  • Develop various T-SQL store procedures, triggers, views, and adding/changing tables for data extraction, data loads and transformations.
  • Develop QlikView dashboards using drill down and cyclic grouping and also using input field, table box, list boxes etc.
  • Introduce use of statistics, regression, supervise and unsupervise predictive analytics and visualization.
  • Show more

Data analyst example responsibilities.

  • Manage patient s data in UNIX system.
  • Manage loan performance in Hyperion Financials using SQL and PL/SQL tools.
  • Manage and contribute to EDI processes ensuring HIPAA compliance and access to clearing house review on individual case status.
  • Develop Java application to automate reformatting of text files for an internal application.
  • Execute deterministic modeling and Monte Carlo simulations in MATLAB to achieve greater mathematical confidence in results obtain from analysis.
  • Manage weapon system project websites via SharePoint, including troubleshooting technical issues and developing guidelines for public/private information and user permissions.
  • Show more

Business intelligence developer vs data analyst skills

Common business intelligence developer skills
  • Power Bi, 12%
  • Business Intelligence, 10%
  • Analytics, 8%
  • Dashboards, 8%
  • ETL, 6%
  • Visualization, 5%
Common data analyst skills
  • Data Analysis, 10%
  • Python, 7%
  • Power Bi, 6%
  • Data Management, 6%
  • Visualization, 5%
  • Data Quality, 4%

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