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Entry Level Data Analyst Opt Jobs (NOW HIRING)

For entry level job seekers to get client interviews and jobs, they need to differentiate ... Different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the ...

Data Analyst

$60K - $70K/yr

Salary Range: $60,000 - $70,000 Annually ABOUT THE ROLE As an entry-level Data Analyst, you will help keep our program's data clean, organized, and useful. Working alongside senior analysts and the ...

The Data Analyst I performs entry-level data analysis and data research work. Work involves conducting detailed analysis of, and extensive research on, data and providing results. Works under close ...

... data collection and analysis. - Administer quality control and process improvement activities ... OPT students may also apply If you are qualified and interested in pursuing this opportunity ...

DATA ANALYST

Jackson, MS · On-site

$55/hr

Data Analyst Location : Jackson, Mississippi - Fully Onsite Only Locals $55/hr on W2 Client : State ... OPT - it will rejected only W2 - others will rejected Required Skills: Expertise with Linear ...

Associate Data Analyst

Orlando, FL · On-site

$22 - $24/hr

This opportunity is well suited to entry level candidates interested in data analysis, financial services, compliance, and technology-enabled operations. 4 weeks of training in transaction-monitoring ...

Data Analyst

Arlington, TX · On-site

$65 - $75/hr

Perform statistical analysis and predictive data assessments to support business decisions ... Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

DIRECTV Advertising is looking for a data analyst to make an immediate impact by supporting the ... Taking on analytical projects and ad-hoc requests as needed Qualifications: * Entry level ...

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Entry Level Data Analyst Opt information

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How much do entry level data analyst opt jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level data analyst opt in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is an entry level data analyst OPT?

An Entry Level Data Analyst OPT is a recent graduate who is authorized to work in the United States under the Optional Practical Training (OPT) program, typically after completing a degree in a field related to data analysis. These analysts are responsible for collecting, processing, and interpreting data to help organizations make informed decisions. They often use tools like Excel, SQL, and basic statistical software, and work under the guidance of more experienced data professionals. OPT allows international students to gain practical work experience in their field of study for up to 12 months (or 36 months for STEM majors).

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need a solid background in statistics, data interpretation, and proficiency with spreadsheet software, often supported by a bachelor's degree in a related field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this position. These skills and qualities are essential for accurately analyzing data, generating actionable insights, and clearly presenting findings to support business decisions.

What are some common challenges faced by entry level data analysts and how can they be overcome?

Entry-level data analysts often encounter challenges such as working with incomplete or messy datasets, learning new analytical tools, and effectively communicating findings to non-technical stakeholders. To overcome these hurdles, it's helpful to develop strong data cleaning and preprocessing skills, seek mentorship from experienced colleagues, and practice translating data insights into clear, actionable recommendations. Embracing continuous learning and collaborating closely with team members from various departments can also accelerate your growth and confidence in the role.
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Infographic showing various Entry Level Data Analyst Opt job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Data Analyst II - 530454

The University of Alabama

Tuscaloosa, AL • On-site

$56K - $73K/yr

Full-time

Posted 6 days ago


University Of Alabama rating

7.1

Company rating: 7.1 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

415th of 629 rated colleges and universities


Job description

Pay Grade/Pay Range:  Minimum: $56,600 - Midpoint: $73,600 (Salaried E9)


Department/Organization: 209202 - OTIDE Business Intelligence


Normal Work Schedule: Monday - Friday 8:00am to 5:00pm


Note to Applicants: Position is eligible for remote work subject to University policy.


Job Summary: The Data Analyst II gathers, audits, analyzes, and reports moderate- to high-complexity data under moderate supervision. Ensures data integrity. May build dashboards or reporting systems for end users, perform ad-hoc analyses and reporting to inform decision-making, or design predictive modeling or other data mining capabilities. May provide guidance and training to entry-level Data Analysts.


Additional Department Summary: Defines the data architecture for consistency in reporting across the department and across OTIDE for internal tracking of business operations, and externally for communications with UA partners such as College program directors. Tracks DL students, Early college students, and non-degree seeking students across multiple data sources.


Required Minimum Qualifications: Bachelor's degree and two (2) years of data analysis experience; OR master's degree and some data analysis experience.


Skills and Knowledge: Knowledge of business intelligence functions, analytics, industry standards, and best practices. Ability to understand complex relational data structures. Thorough knowledge of relevant internal databases. Ability to translate data into actionable insights. Excellent quantitative and analytical capabilities. Strong understanding of new and emerging fundraising and quantitative modeling techniques and technologies.


Preferred Qualifications: Bachelor's degree or higher in business intelligence, information sciences, statistics, or mathematics. Experience with Customer Relationship Management (CRM) software. Experience with scripting languages like Python, R and SQL and analytic tools such as Tableau or PowerBI. experience in querying, cleansing, and manipulating large data sets.


Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background investigation DOES NOT automatically disqualify a candidate from consideration for this position. A candidate with a prior conviction or negative behavioral red flags will receive an individualized review of the prior conviction or negative behavioral red flags before a hiring decision is made.


Equal Employment Opportunity: The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. All qualified applicants will receive consideration for employment or volunteer status without regard to any legally protected basis and will not be discriminated against because of their protected status. Applicants and employees of this institution are protected under Federal law from discrimination on several bases. More information is available in the EEOC’s Know Your Rights: Workplace discrimination is illegal poster.

The University of Alabama affirms its longstanding commitment to institutional neutrality, free speech, and academic freedom.

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