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Entry Level Data Analyst Jobs (NOW HIRING)

SynergisticIT

Entry Level Data Scientist

Rock Cave, WV · On-site

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ... Assess project requirements and develop data analysis algorithms. * Engage developers to share ...

Ames Construction

Data Analyst

Burnsville, MN · On-site

We are looking for an entry-level Data Analyst to join our team and support the modernization of our company's data stack using Azure Databricks, GitHub, and Power BI. This role is ideal for someone ...

Ames Construction

Data Analyst

Burnsville, MN

We are looking for an entry-level Data Analyst to join our team and support the modernization of our company's data stack using Azure Databricks, GitHub, and Power BI. This role is ideal for someone ...

Ames Construction

Data Analyst

Burnsville, MN · On-site

We are looking for an entry-level Data Analyst to join our team and support the modernization of our company's data stack using Azure Databricks, GitHub, and Power BI. This role is ideal for someone ...

FINTRX

Data Scientist I - Remote, EST Hours

Boston, MA · On-site +1

A data analytics company based in Boston is seeking an entry-level Data Scientist to support their growing Data and Research team. The ideal candidate will analyze and interpret data, conduct web ...

NEIGHBORHOOD FAMILY PRACTICE

Data Analyst

Cleveland, OH · On-site

$70K - $75K/yr

Experience: Entry-level EMR reporting and analyzing clinical data experience * Skills: Proficient in Microsoft Excel, PowerPoint, Business Objects, SQL, Tableau, and Power BI. The ideal candidate ...

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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 Jun 6, 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 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 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 Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

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.
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Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in the United States as of May 2026, with employment types broken down into 7% Locum Tenens, 46% Full Time, 27% Part Time, and 20% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Entry Level Data Scientist

Entry Level Data Scientist

SynergisticIT

Rock Cave, WV • On-site

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist Opportunity

At SynergisticIT, we aim to bring aboard IT professionals to help them build a rewarding career in cutting-edge technologies. Being in the industry for more than 10 years, we provide a splendid range of lucrative opportunities to sustain a position in our top tech clients like Google, Apple, Cognizant, Client, PayPal, to name a few. Our seasoned team firmly believes that the new tech talent can scale any business if given the right opportunity. We value your integrity, hard work, and commitment to make a difference in the technical sphere. For this reason, we focus on providing end-to-end career assistance and enhancing your already existing IT skills and knowledge. Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing, and preparing large databases for statistical analysis.

Minimum Background and Qualifications Requirement

  • Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or IT
  • Must have Mathematics or Statistics background

Technical and Soft Skills Required

  • Experience in Python programming and understanding of the software development life cycle.
  • Knowledge of Linear Algebra, Statistics, and Mathematics concepts.
  • Excellent written and verbal communication skills.
  • Highly motivated, self-learner, team player, and technically inquisitive.
  • Strong work ethics and creative problem-solving abilities.

Preferred Skills

  • Deep Learning
  • Data visualization
  • NLP
  • Scala
  • Django

Roles and Responsibilities

  • Collaborate with dynamic teams of engineers, developers, and scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems.
  • Assess project requirements and develop data analysis algorithms.
  • Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables.
  • Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets.
  • Integrate components like web-based UI, commercial indexing products, and access control mechanisms to create operational information and knowledge discovery systems.

Benefits

  • Competitive salary
  • Flexible work schedule & part-time off
  • E-verified
  • No relocation
  • H1B filing
  • On job technical support
  • Skill Enhancement
  • Opportunity to work with Fortune 500 Companies

Recent IT graduates looking to build a solid career in the tech industry. If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data Science, this job opportunity can be the right career path for you.

Apply