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Entry Level Data Analyst Jobs (NOW HIRING)

This is an entry-level, remote role with a flexible schedule , comprehensive healthcare benefits ... Coursework or projects in data analysis, statistics, or a related field * Familiarity with ...

New

This is an entry-level, remote role with a flexible schedule , comprehensive healthcare benefits ... Coursework or projects in data analysis, statistics, or a related field * Familiarity with ...

New

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Data Analytics / Data Engineer Contractor This role supports two major system overhaul projects and ... Open to entry-level through senior candidates; no minimum or maximum years of experience required ...

New

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

Data Analyst I Business Intelligence & Strategy | Hays Electrical Services | Houston, TX | On-Site Position Summary The Data Analyst I is an entry-level position within the Business Intelligence ...

Data Analyst I Business Intelligence & Strategy | Hays Electrical Services | Houston, TX | On-Site Position Summary The Data Analyst I is an entry-level position within the Business Intelligence ...

Data Analyst I

Newton, NJ · On-site

$72K - $94K/yr

Collect, clean, and analyze large datasets from various sources to identify patterns, trends, and ... * Entry level to 1 year experience with data visualization best practices and the ability to ...

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Entry Level Data Analyst information

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

As of Aug 24, 2026, the average hourly pay for entry level data analyst 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 does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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 strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What cities are hiring for Entry Level Data Analyst jobs?

Cities with the most Entry Level Data Analyst job openings:

What are the most commonly searched types of Data Analyst jobs?

The most popular types of Data Analyst jobs are:

What states have the most Entry Level Data Analyst jobs?

States with the most job openings for Entry Level Data Analyst jobs include:

Infographic showing various Entry Level Data Analyst 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Jr. Data Analyst

Las Vegas, NV • Remote

Full-time

Medical, Dental, Vision

Posted 2 days ago

New


Job description

Make a difference with data.

Are you passionate about using data to drive positive change in education? Join our mission to help K–12 schools turn complex education data into clear, actionable insights that empower students, families, and staff.

We’re looking for a Junior Data Analyst to support the creation of interactive, user-friendly data reports that make information accessible to students, families, and staff. This is an entry-level, remote role with a flexible schedule, comprehensive healthcare benefits, and mentorship support for your career growth.


What You’ll Do

With guidance and support, you will:

  • Build reports and visualizations that make education data accessible for students, families, and staff
  • Develop and maintain data ingestion, cleaning, and transformation processes
  • Write and troubleshoot SQL queries to prepare datasets for analysis
  • Identify patterns and errors in large datasets and help design solutions
  • Collaborate with team members to translate real-world school needs into technical solutions
  • Help onboard new districts and schools by configuring the application to fit their data, users, and reporting needs
  • Document new and existing processes

Requirements

Required Qualifications
  • Experience writing SQL queries by hand (no visual query builder), including joins, aggregations, filtering, and grouping across multiple tables (e.g., PostgreSQL, MySQL, SQL Server, Oracle)
  • Ability to translate real-world business rules into SQL queries and data visualizations
  • Ability to read and reason about existing SQL queries and adapt them to new requirements
  • Ability to analyze large datasets to identify issues or trends
  • Attention to detail, with a focus on data accuracy
  • Comfortable collaborating to define and solve problems based on user needs
  • Basic ability to identify the root cause of data issues and suggest improvements
  • Familiarity with version control tools (e.g., Git)
  • Strong written communication skills, including documentation
  • Comfortable working independently and managing your own time in a remote environment
  • Genuine interest in education and the mission of improving outcomes for K–12 students

Preferred Qualifications
  • Coursework or projects in data analysis, statistics, or a related field
  • Familiarity with relational data modeling concepts (tables, keys, relationships)
  • Knowledge of scripting languages like PHP, Python, or Node
  • Exposure to ETL / data pipeline concepts
  • Familiarity with HTML, JavaScript, and CSS
  • Familiarity with agent-based coding tools like Claude Code, OpenAI Codex, or GitHub Copilot

Experience

Completion of relevant coursework (e.g., computer science, data analysis, statistics, education technology) or 1+ years of related professional experience

Benefits

  • 100% Remote Work (U.S.-based)
  • Flexible Work Schedule – We trust you to manage your time effectively
  • Healthcare Coverage – Medical, dental, and vision plans provided
  • Mentorship and Learning – We’ll support your growth in data analytics and reporting
  • Mission-Driven Work – You’ll help schools and students use data to thrive