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Entry Level Data Analyst Jobs (NOW HIRING)

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 ...

The Data Analyst / Front‑End App Developer is responsible for designing, building, and ... Self-motivated, resourceful, and organized in managing complex work Employment Type Entry Level ...

Recommended Experience Entry-level position into Business Analysis functional domain. May have prior experience as a Programmer and/or Service Delivery Engineer within a technical delivery/support ...

The Data Analyst / Front‑End App Developer is responsible for designing, building, and ... Self-motivated, resourceful, and organized in managing complex work Employment Type Entry Level ...

This role is an entry-level position and is expected to perform assigned duties under established ... Retrieve, validate, and analyze data from multiple data sources, including but not limited to ...

This role is an entrylevel position and is expected to perform assigned duties under established ... Retrieve, validate, and analyze data from multiple data sources, including but not limited to ...

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

The Data Analyst Engineer I will provide critical support to Navy operations by developing ... This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint ...

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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 5, 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 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 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 July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

$72K - $94K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Thorlabs rating

7.8

Company rating: 7.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

67th of 156 rated electronics manufacturers


Job description

At Thorlabs, we design and manufacture components, instruments, and systems that transform the world by identifying, enabling, and accelerating key photonics (i.e., light-based) technologies. Backed by a dedicated workforce of more than 3,000 employees worldwide, Thorlabs contributes to cutting-edge research and real-world innovation.

Whether you're early in your career or bringing years of experience, you'll find opportunities to grow, take ownership, and make meaningful contributions from day one. We know every employee brings unique talents and perspectives that fuel our success, and we seek driven individuals who are excited to make an impact in a fun, fast-moving culture.

The responsibilities of this position are to assist the TAP data team with the collection, organizing, and analysis of Thorlabs' various data sets. The range of these data sets include manufacturing, engineering, marketing, sales, pricing, and ERP. The Data Analyst will be able to autonomously analyze qualitative data, trends, strategies, and markets aimed at increasing the company's competitiveness. Although the location of the position is in Newton, NJ, from time to time it may be required to undertake duties at other Thorlabs locations.

Essential Job Functions include the following, but are not limited to:

  • Collect, clean, and analyze large datasets from various sources to identify patterns, trends, and correlations using tools such as SQL, Python, or Power BI.
  • Develop and implement data models, algorithms, and statistical techniques to extract insights and generate reports, dashboards, and visualizations that inform data-driven decision-making.
  • Conduct thorough data validation and quality assurance checks to ensure accuracy, integrity, and consistency of data.
  • Interpret data findings and provide actionable recommendations to stakeholders, including business leaders and other relevant teams, to drive business performance and optimize operational processes.
  • Collaborate with cross-functional teams to develop and execute data-driven strategies that align with business objectives.
  • Stay up to date with industry trends, emerging technologies, and best practices in data analysis, and apply them to improve data-driven decision-making within the organization.
  • Participate in data governance initiatives, including data documentation, data lineage, and data security, to ensure compliance with regulatory requirements and data standards.
  • Lead improvement initiatives where needed.
  • Determine and clarify strategic and operational issues via consultation.
  • Track success of key initiatives (Corporate Initiatives, Kaizens, Product Line Reviews).
  • Aid Managers/Supervisors in area performance capture and presentation.
  • Compile and present information verbally, visually and in writing
  • Occasionally lead operational training initiatives

In addition to the essential functions and duties listed above, all positions are also responsible for:

  • Meeting company standards pertaining to quantity and quality of work performed on an ongoing basis, performing all work-related tasks in a manner that is compliant with all Company policies and procedures.
  • Adhering to Company policies, procedures, and directives regarding standards of workplace behavior in completing job duties and assignments.

The Company retains the right to change or assign other duties to this position.

Annual salary range for this position is $72,000 - $94,000 depending on experience

Requirements

Experience:

  • Entry level to 1 year experience with data visualization best practices and the ability to create visually compelling reports, dashboards, and visualizations that effectively communicate complex data findings to non-technical stakeholders.
  • Familiarity with data validation, data quality assurance, and data cleansing techniques to ensure data accuracy, integrity, and consistency.

Education:

  • Bachelor's degree in Data Analytics, Business Analytics, Computer Science or related fields

Specialized Knowledge and Skills:

  • Strong proficiency with data analysis techniques and tools, such as SQL, Python, Power BI, or Excel.
  • Knowledge of data modeling, data warehousing, and data integration concepts.
  • Ability to apply critical thinking and problem-solving skills to analyze data, identify patterns, trends, and correlations, and provide actionable recommendations for business decision-making.
  • Excellent communication skills, both written and verbal, with the ability to effectively communicate complex data findings to diverse audiences.
  • Experience with machine learning, predictive analytics, or data mining techniques is a plus.

Thorlabs values its diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Employees can be terminated for any reason not prohibited by law

Benefits

Thorlabs offers a complete benefits package that includes medical, dental and vision insurance, company paid life insurance, a generous PTO package, a 401(k) plan, and tuition reimbursement just to name a few.


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