Operations analyst vs data analyst

The differences between operations analysts and data analysts can be seen in a few details. Each job has different responsibilities and duties. Additionally, a data analyst has an average salary of $74,342, which is higher than the $63,082 average annual salary of an operations analyst.

The top three skills for an operations analyst include customer service, SQL and data analysis. The most important skills for a data analyst are data analysis, python, and power bi.

Operations analyst vs data analyst overview

	Operations Analyst	Data Analyst
Yearly salary	$63,082	$74,342
Hourly rate	$30.33	$35.74
Growth rate	23%	11%
Number of jobs	141,707	167,520
Job satisfaction	3	-
Most common degree	Bachelor's Degree, 72%	Bachelor's Degree, 65%
Average age	45	44
Years of experience	-	4

What does an operations analyst do?

Operations analysts serve an essential role within the operations team that supports data management, trade processes, client reporting, and problem resolution. They have to ensure data systems integrity by working closely with the operations team and the client support services manager. Their work focuses on several areas, including maintaining trading systems and portfolio accounting, creating and verifying client performance files, and performing electronic operations reconciliation. To be qualified for this position, one should possess several qualities, including proficient computer skills, excellent communication skills, and attention to detail.

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.

Operations analyst vs data analyst salary

Operations analysts and data analysts have different pay scales, as shown below.

	Operations Analyst	Data Analyst
Average salary	$63,082	$74,342
Salary range	Between $44,000 And $90,000	Between $53,000 And $103,000
Highest paying City	Jersey City, NJ	Richmond, CA
Highest paying state	New Jersey	New Jersey
Best paying company	Intuitive Surgical	The Citadel
Best paying industry	Finance	Finance

Differences between operations analyst and data analyst education

There are a few differences between an operations analyst and a data analyst in terms of educational background:

	Operations Analyst	Data Analyst
Most common degree	Bachelor's Degree, 72%	Bachelor's Degree, 65%
Most common major	Business	Business
Most common college	University of Southern California	Northwestern University

Operations analyst vs data analyst demographics

Here are the differences between operations analysts' and data analysts' demographics:

	Operations Analyst	Data Analyst
Average age	45	44
Gender ratio	Male, 58.8% Female, 41.2%	Male, 50.2% Female, 49.8%
Race ratio	Black or African American, 12.6% Unknown, 6.0% Hispanic or Latino, 13.8% Asian, 11.2% White, 55.8% American Indian and Alaska Native, 0.6%	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 Percentage	9%	12%

Differences between operations analyst and data analyst duties and responsibilities

Operations analyst example responsibilities.

Manage EDI error processing and exception reporting and interface with the state exchanges to facilitate resolution.
Excel in liaising between business and technical areas to achieve on-time, on-budget and on-spec project completions.
Develop VBA macros to automate various data intensive processes
Manage IP distribution services domestically and globally to enterprise and broadband customers.
Manage small-scale projects from inception to implementation following BCUS SDLC project methodology.
Manage the month-end financial statement reporting process, including journal entry preparation, and account reconciliations.

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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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Operations analyst vs data analyst skills

Common operations analyst skills

Customer Service, 10%
SQL, 6%
Data Analysis, 6%
Project Management, 5%
Process Improvement, 5%
Strong Analytical, 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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Updated January 8, 2025

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