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Subject matter expert vs data analyst

The differences between subject matter experts 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 subject matter expert and a data analyst. Additionally, a subject matter expert has an average salary of $103,749, which is higher than the $74,342 average annual salary of a data analyst.

The top three skills for a subject matter expert include SME, project management and DOD. The most important skills for a data analyst are data analysis, python, and power bi.

Subject matter expert vs data analyst overview

Subject Matter ExpertData Analyst
Yearly salary$103,749$74,342
Hourly rate$49.88$35.74
Growth rate11%11%
Number of jobs58,235167,520
Job satisfaction--
Most common degreeBachelor's Degree, 57%Bachelor's Degree, 65%
Average age4444
Years of experience44

What does a subject matter expert do?

A subject matter expert is someone who has special knowledge and expertise about a specific process or service, providing advice to other team members or directly assisting customers with their inquiries and concerns. Subject matter experts coordinate on planning strategic procedures to improve the work processes and ensure customer satisfaction. They are also active in participating in learning programs and training sessions to share their knowledge and best practices for their specialization. Subject matter experts identify potential business opportunities to generate more revenues for the business and achieve its profitability goals.

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.

Subject matter expert vs data analyst salary

Subject matter experts and data analysts have different pay scales, as shown below.

Subject Matter ExpertData Analyst
Average salary$103,749$74,342
Salary rangeBetween $73,000 And $146,000Between $53,000 And $103,000
Highest paying CitySan Francisco, CARichmond, CA
Highest paying stateCaliforniaNew Jersey
Best paying companyAppleThe Citadel
Best paying industryEnergyFinance

Differences between subject matter expert and data analyst education

There are a few differences between a subject matter expert and a data analyst in terms of educational background:

Subject Matter ExpertData Analyst
Most common degreeBachelor's Degree, 57%Bachelor's Degree, 65%
Most common majorBusinessBusiness
Most common collegeNorthwestern UniversityNorthwestern University

Subject matter expert vs data analyst demographics

Here are the differences between subject matter experts' and data analysts' demographics:

Subject Matter ExpertData Analyst
Average age4444
Gender ratioMale, 63.8% Female, 36.2%Male, 50.2% Female, 49.8%
Race ratioBlack or African American, 8.2% Unknown, 4.5% Hispanic or Latino, 9.0% Asian, 12.1% White, 66.1% 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 Percentage12%12%

Differences between subject matter expert and data analyst duties and responsibilities

Subject matter expert example responsibilities.

  • Prepare custom perl scripts to automate various monitoring functions.
  • Manage PKI SSL web certificates for Linux and Unix servers.
  • Manage the multiple CSS's require by the different organizations.
  • Develop stored procedures and complex packages using PL/SQL, manage DBA activities.
  • Manage the on-the-job training (OJT) of all new personnel on equipment and SIGINT analytical procedures
  • Participate in and hold daily scrum meetings to perform iterative and incremental agile software development framework when managing product development.
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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.
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Subject matter expert vs data analyst skills

Common subject matter expert skills
  • SME, 18%
  • Project Management, 6%
  • DOD, 6%
  • Logistics, 4%
  • Customer Service, 4%
  • Windows, 4%
Common data analyst skills
  • Data Analysis, 10%
  • Python, 7%
  • Power Bi, 6%
  • Data Management, 6%
  • Visualization, 5%
  • Data Quality, 4%

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