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Entry Level Data Analyst Jobs Available Now Across the United States

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Affordable land scaping services

Affordable land scaping services

Tucker, DeKalb County

Entry-Level Data Analyst

Tucker, DeKalb County
$53,538 - $53,538
4 days agoApply
Mike construction

Mike construction

Los Angeles, Los Angeles County

Entry-Level Data Analyst

Los Angeles, Los Angeles County
$75,999 - $75,999
over 2 years agoApply
Ivanti

Ivanti

South Jordan, Salt Lake County

Entry Level Data Analyst

South Jordan, Salt Lake County
$104,227 - $104,227
4 days agoApply
CGI Technologies and Solutions, Inc.

CGI Technologies and Solutions, Inc.

Highland Park, Dallas

Data Analyst Entry Level

Highland Park, Dallas
$131,658 - $131,658
2 months agoApply
OPTnation

OPTnation

Reston, Fairfax County

Data Analyst – Entry Level or Experienced

Reston, Fairfax County
$64,544 - $64,544
over 1 year agoApply
MidWestern IT Inc

MidWestern IT Inc

Lauderdale, Ramsey County

Behind Every Insight Is Great Data Be Our Analyst

Lauderdale, Ramsey County
$78,295 - $78,295
5 days agoApply
Dhalite Inc.

Dhalite Inc.

Textile Finance, Los Angeles County

Junior Data Analyst

Textile Finance, Los Angeles County
$50,684 - $50,684
5 days agoApply
Reinvigoration Ltd

Reinvigoration Ltd

Houston, Harris County

REMOTE Data Analyst

Houston, Harris County
$41,600 - $66,560
28 days agoApply
Robert Half

Robert Half

Bonnie, Utah County

Jr. Data Analyst

Bonnie, Utah County
$51,377 - $51,377
16 days agoApply
NTT America, Inc.

NTT America, Inc.

Nashville, Davidson County

Call Center Operator

Nashville, Davidson County
$57,315 - $57,315
21 days agoApply
Signature Consultants

Signature Consultants

Dallas, Texas

Enrty - Data Analyst

Dallas, Texas
$31,200 - $33,280
2 days agoApply
Bow Wave LLC

Bow Wave LLC

Crystal, Arlington County

Intelligence/Data Specialist 1 - Wash DC - Top Secret Clearance applicants only

Crystal, Arlington County
$62,000 - $65,000
4 months agoApply
Aerzen USA Corporation

Aerzen USA Corporation

Coatesville, Chester County

Data Analyst

Coatesville, Chester County
$72,800 - $72,800
16 days agoApply
The Columbia Group

The Columbia Group

Alexandria, Alexandria City

Data Analyst (Junior/Mid)

Alexandria, Alexandria City
$57,045 - $57,045
about 1 month agoApply
MIT Lincoln Laboratory

MIT Lincoln Laboratory

Lexington, Middlesex County

Data Analyst

Lexington, Middlesex County
$90,219 - $90,219
3 months agoApply
Cesna Recruitment

Cesna Recruitment

New York City, New York

Data Architect / Data Analyst

New York City, New York
$50,000 - $70,000
29 days agoApply
ManpowerGroup

ManpowerGroup

Old Sixth Ward, Houston

QA Support - Lab and Field Coordinator

Old Sixth Ward, Houston
$119,844 - $119,844
about 1 month agoApply
Cache Creek Casino Resort

Cache Creek Casino Resort

Brooks, Yolo County

Business Data Analyst II - Finance

Brooks, Yolo County
$70,367 - $70,367
8 days agoApply
Evergreen

Evergreen

Forest Hill, Richmond

Business Development Analyst

Forest Hill, Richmond
$60,804 - $60,804
10 days agoApply
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Types of Entry Level Data Analyst Positions

Data analysis is one of the fastest growing career fields in the United States. According to the Bureau of Labor Statistics, virtually every industry now relies on data professionals to drive decision making. The following roles represent the most common entry points into the field for candidates starting their analytics career.

Junior Data Analyst

Clean, organize, and analyze datasets to support business decisions using SQL, Excel, and visualization tools

Business Intelligence Analyst

Build dashboards and reports that help leadership teams track KPIs and identify trends across departments

Data Quality Analyst

Ensure accuracy and consistency of organizational data by auditing records, identifying errors, and improving data pipelines

Marketing Data Analyst

Analyze campaign performance, customer behavior, and conversion metrics to optimize marketing strategies

Healthcare Data Analyst

Work with patient records, clinical trial data, and insurance claims to improve healthcare outcomes and operational efficiency

Financial Data Analyst

Examine financial statements, market trends, and risk metrics to support investment and budgeting decisions

Technical Skills Employers Expect

While entry level positions are designed for candidates who are still building their expertise, most employers expect a baseline level of proficiency in certain tools and concepts. According to a workforce analysis by the U.S. Bureau of Labor Statistics, the following technical skills appear most frequently in data analyst job postings.

SQL

Essential

The most requested skill in data analyst job postings. Used to query, filter, and manipulate data stored in relational databases

Microsoft Excel

Essential

Advanced functions including VLOOKUP, pivot tables, conditional formatting, and data validation remain fundamental in every industry

Python or R

Highly Valued

Programming languages used for data cleaning, statistical analysis, automation, and building predictive models

Tableau or Power BI

Highly Valued

Data visualization platforms used to create interactive dashboards and present insights to non technical stakeholders

Statistics and Probability

Essential

Foundational understanding of descriptive statistics, hypothesis testing, regression analysis, and probability distributions

Data Cleaning and Wrangling

Essential

The ability to handle missing values, duplicate records, inconsistent formats, and transform raw data into usable datasets

Entry Level Data Analyst Salaries by Industry

According to the Bureau of Labor Statistics, data analyst salaries vary significantly depending on the industry, geographic location, and level of technical expertise. The following figures represent typical starting salary ranges for entry level data analysts across major sectors of the U.S. economy.

Technology

$55,000 to $72,000

Highest starting salaries, especially in major tech hubs

Finance and Banking

$52,000 to $68,000

Strong demand for analysts who understand financial modeling

Healthcare

$48,000 to $63,000

Growing field driven by electronic health records and compliance requirements

Retail and E Commerce

$45,000 to $60,000

Focus on customer analytics, inventory optimization, and sales forecasting

Government

$42,000 to $58,000

According to the U.S. Office of Personnel Management, federal data positions follow the GS pay scale

Nonprofit and Education

$40,000 to $52,000

Lower salaries but often paired with strong benefits and mission driven work

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics. Figures are approximate and reflect entry level positions.

How to Qualify for Entry Level Data Analyst Jobs

There are multiple pathways into data analytics, and the field is increasingly accessible to candidates from diverse educational backgrounds. According to the Bureau of Labor Statistics, while a bachelor's degree remains the most common requirement, alternative credentials are gaining traction with employers nationwide.

1

Bachelor's Degree in a Related Field

4 years

According to the Bureau of Labor Statistics, most data analyst positions require at least a bachelor's degree. Common majors include statistics, mathematics, computer science, economics, or information systems.

2

Coding Bootcamp

3 to 6 months

Intensive programs that teach SQL, Python, data visualization, and analytics tools. Many bootcamps include career services and portfolio building to help graduates land entry level roles quickly.

3

Online Certificate Programs

3 to 12 months

Self paced programs from providers like Google, IBM, and Meta offer structured learning paths that are increasingly accepted by employers as an alternative to traditional degrees.

4

Self Taught with Portfolio

Varies

Many hiring managers consider strong portfolios with real world projects as evidence of capability. Open datasets from sources like data.gov and Kaggle provide excellent practice material.

Best Certifications for Aspiring Data Analysts

Professional certifications can help entry level candidates demonstrate their skills to employers, especially when they lack traditional work experience. According to the U.S. Department of Labor's CareerOneStop resource, industry recognized credentials are increasingly valued by hiring managers in data driven fields.

Google Data Analytics Professional Certificate

Provider: Google (via Coursera)

A widely recognized program designed specifically for beginners. According to Google, no prior experience is required and the certificate can be completed in under six months. Covers spreadsheets, SQL, R programming, Tableau, and data cleaning.

IBM Data Analyst Professional Certificate

Provider: IBM (via Coursera)

Covers Excel, Python, SQL, and data visualization with hands on labs and a capstone project. Designed for learners with no prior data analysis experience.

CompTIA Data+

Provider: CompTIA

A vendor neutral certification that validates skills in data concepts, environments, and data analytics. According to CompTIA, it is ideal for professionals beginning a career in data analysis.

Microsoft Certified: Power BI Data Analyst Associate

Provider: Microsoft

Demonstrates proficiency in Power BI for data modeling, visualization, and report design. Recognized across industries that use the Microsoft ecosystem.

Top Cities Hiring Entry Level Data Analysts

According to the Bureau of Labor Statistics, metropolitan areas with large concentrations of technology, finance, and healthcare employers consistently offer the highest number of data analyst openings. The following cities represent the strongest job markets for entry level candidates.

New York, NY

The largest market for data analysts driven by finance, media, advertising, and healthcare industries

San Francisco, CA

High concentration of tech companies offering competitive salaries and rapid career growth

Washington, D.C.

Strong demand from federal agencies, consulting firms, and government contractors

Chicago, IL

Diverse economy with analytics roles in finance, logistics, manufacturing, and food services

Austin, TX

Rapidly growing tech hub with lower cost of living and increasing demand for data professionals

Atlanta, GA

Emerging analytics market with major employers in healthcare, fintech, and logistics

How to Ace Your Entry Level Data Analyst Interview

1

Practice SQL Challenges

Most entry level data analyst interviews include a SQL assessment. Practice on platforms like LeetCode, HackerRank, or Mode Analytics to strengthen your query writing skills.

2

Prepare a Portfolio Project

Walk interviewers through a complete data project from start to finish. Show how you collected, cleaned, analyzed, and visualized data to answer a specific business question.

3

Know Your Tools Inside Out

Be ready to demonstrate proficiency in Excel, a visualization tool like Tableau or Power BI, and at least one programming language. Hands on assessments are common.

4

Communicate Like a Business Partner

Hiring managers value candidates who can translate technical findings into clear business insights. Practice explaining your analysis results in plain, non technical language.

Data Analyst Job Market Outlook

According to the Bureau of Labor Statistics, the data analytics field is experiencing exceptional growth. The increasing reliance on data driven decision making across all sectors of the economy is creating sustained demand for qualified analysts, making this one of the most promising career paths for job seekers entering the workforce.

+35%

Projected growth for data scientist roles through 2032, among the fastest of all occupations according to the BLS

$83,640

Median annual wage for operations research analysts, a closely related occupation, per the BLS

17,000+

Estimated annual openings for data analysts and related roles driven by growth and workforce turnover

Source: U.S. Bureau of Labor Statistics, Occupational Outlook Handbook

Frequently Asked Questions About Entry Level Data Analyst Jobs

Can I get an entry level data analyst job with no experience?

Yes, many employers hire entry level data analysts with no prior professional experience. According to the Bureau of Labor Statistics, the demand for data analysts continues to outpace supply, which has led many companies to invest in training programs for new hires. Completing a recognized certificate program, building a portfolio of projects using public datasets, and demonstrating proficiency in SQL and Excel can help candidates without traditional work experience stand out.

What is the average salary for an entry level data analyst?

According to the Bureau of Labor Statistics, the median annual wage for operations research analysts, a closely related occupation, was approximately $83,640. However, entry level positions typically start between $45,000 and $65,000 depending on geographic location, industry, and the candidate's educational background. Major metropolitan areas and the technology sector tend to offer higher starting salaries.

Do I need a degree to become a data analyst?

While the Bureau of Labor Statistics reports that most data analyst positions list a bachelor's degree as a requirement, the industry is increasingly open to alternative credentials. Professional certificates from Google, IBM, and other recognized providers, combined with a strong portfolio, have become viable pathways into the field. Some employers explicitly state that they accept equivalent experience in lieu of a formal degree.

What is the job outlook for data analysts?

According to the Bureau of Labor Statistics, employment of data scientists and mathematical science occupations is projected to grow much faster than average through 2032. The BLS specifically notes that the increasing volume of data generated by businesses, healthcare systems, and government agencies will drive demand for qualified analysts who can interpret and present actionable insights.

What is the difference between a data analyst and a data scientist?

Data analysts primarily focus on interpreting existing data using SQL, Excel, and visualization tools to answer specific business questions and create reports. Data scientists typically require more advanced skills in machine learning, statistical modeling, and programming, and are expected to build predictive models and algorithms. Entry level data analyst roles generally require less technical depth and are considered a common stepping stone toward data science careers.

Disclaimer: The information provided on this page is for general informational purposes only and does not constitute professional, financial, or legal advice. Salary figures, job growth projections, and educational requirements are based on publicly available data and may vary by employer, geographic location, and individual qualifications. Always consult the U.S. Bureau of Labor Statistics at bls.gov and the relevant certification providers for the most current information. Job seekers should verify all position requirements directly with the hiring organization before applying.