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Startup Entry Level Data Analyst Jobs in Raleigh, NC

Analyze claims and cost savings data to drive insights for reporting and product improvement ... and/or startup Operation or Product roles * High-performing self-starter and independent ...

Analyze claims and cost savings data to drive insights for reporting and product improvement ... and/or startup Operation or Product roles * High-performing self-starter and independent ...

Analyze claims and cost savings data to drive insights for reporting and product improvement ... and/or startup Operation or Product roles * High-performing self-starter and independent ...

Analyze claims and cost savings data to drive insights for reporting and product improvement ... and/or startup Operation or Product roles * High-performing self-starter and independent ...

Showing results 21-40

Startup Entry Level Data Analyst information

See Raleigh, NC salary details

$12

$32

$60

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

As of Sep 3, 2026, the average hourly pay for startup entry level data analyst in Raleigh, NC is $32.01, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $35.77 per hour, depending on experience, location, and employer.

What does a startup entry level data analyst do?

A startup entry level data analyst is responsible for collecting, processing, and interpreting data to help the company make informed decisions. They often work with large datasets, conduct basic data cleaning, create visualizations, and generate reports to identify trends and insights. In a startup environment, analysts may also assist with automating processes, supporting marketing or product teams, and exploring new tools. This role is ideal for individuals looking to gain hands-on experience and make a tangible impact in a fast-paced setting.

What are the key skills and qualifications needed to thrive as a startup entry level data analyst?

To thrive as a Startup Entry Level Data Analyst, you need a solid understanding of statistics, data visualization, and analytical thinking, often backed by a degree in a quantitative field. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically expected. Strong problem-solving, adaptability, and effective communication help you interpret data insights and collaborate in a fast-paced environment. These skills are essential for turning raw data into actionable insights that drive growth and innovation in a startup setting.

What are the most common challenges faced by entry-level data analysts working at startups?

Entry-level data analysts at startups often encounter challenges such as rapidly shifting priorities, limited resources, and the need to wear multiple hats. You may be expected to handle a mix of data cleaning, reporting, and ad-hoc analyses while adapting quickly to evolving business goals. The fast-paced environment requires strong communication skills to collaborate effectively with cross-functional teams, including product managers and engineers. However, these challenges also provide opportunities to learn quickly and make a tangible impact early in your career.

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

AspectStartup Entry Level Data AnalystStartup Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentData analysis, reporting, basic modelingAdvanced modeling, machine learning, algorithm development
Employer & Industry UsageStartups, tech companies, small businessesStartups, tech firms, research-focused companies

Startup Entry Level Data Analysts focus on data collection, cleaning, and basic analysis to support decision-making. In contrast, Startup Data Scientists handle complex modeling, machine learning, and predictive analytics. While both roles require a background in data-related fields, Data Scientists typically need more advanced skills and education. The roles often overlap in startup environments, but Data Scientists usually work on more sophisticated projects.

What are popular job titles related to Startup Entry Level Data Analyst jobs in Raleigh, NC?

For Startup Entry Level Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Startup Entry Level Data Analyst jobs in Raleigh, NC look for?

The top searched job categories for Startup Entry Level Data Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Startup Entry Level Data Analyst jobs?

Cities near Raleigh, NC with the most Startup Entry Level Data Analyst job openings:

Infographic showing various Startup Entry Level Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 5% Internship, 59% Full Time, 27% Part Time, and 9% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $66,575 per year, or $32 per hour.

Entry-Level Research Associate

Horizon Research Inc.

Chapel Hill, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Entry-Level Research Associate

Location: Chapel Hill, NC

Position Type: This is a full-time, hybrid position with some in-office work required.

 

Overview

If you are passionate about STEM education and want to improve educational practice, we have an exciting opportunity for you. Horizon Research, Inc. (HRI), is a small firm located in Chapel Hill, North Carolina, specializing in research and evaluation work related to science, technology, engineering, and mathematics (STEM) education. HRI is currently seeking a motivated, detail-oriented individual to join our team as a full-time, entry-level Research Associate.

Minimum Qualifications

  • Educational Background: A bachelor’s degree in either (1) education with an emphasis in mathematics, science, computer science, or engineering, or (2) a mathematics, science, computer science or engineering-related discipline

·         Experience: Mathematics, science, computer science, or engineering teaching experience in formal or informal settings with students in any grades K­–12

  • Passion for Education: A genuine interest in education and a strong desire to make a positive impact in this field
  • Attention to Detail: Strong organizational skills and attention to detail to ensure accurate data collection and management
  • Analytical Thinking: Ability to think critically and analyze data to derive meaningful insights
  • Communication Skills: Excellent written and oral communication skills
  • Adaptability: Willingness to learn and adapt to new challenges and projects in a dynamic research environment

·         Computer Proficiency: Proficiency with word-processing, spreadsheet, and presentation programs (e.g., Word, Excel, Outlook, PowerPoint, Google Docs, Google Sheets, Google Slides), and video conferencing software (e.g., Zoom, Teams)

  • Work Skills: Balancing assignments on several projects to complete varied tasks on time, working effectively both independently and collaboratively

Preferred Qualifications

·         Formal mathematics, science, computer science, or engineering teaching experience at the elementary, middle, or high school level in the US

·         Experience using generative AI tools such as Copilot, ChatGPT, Claude, and Gemini ethically and productively

 

 

Essential Functions

The Research Associate will engage in a variety of research and evaluation tasks. Specific duties may include:

  1. Communication: Communicating both orally and in writing with research participants, including teachers, administrators, and college/university faculty and students
  2. Instrument Development: Assisting with instrument development, including observation protocols, interview protocols, surveys, and assessment items
  3. Data Collection: Assisting in the collection of quantitative and qualitative data through surveys, interviews, classroom observations, and other methods
  4. Data Entry and Management: Assisting with data tracking, storage, and cleaning, such as de-identifying open-ended survey responses; keeping accurate records of planned, scheduled, and completed data collection; and ensuring data are stored as expected for each project

5.      Data Analysis: Assisting with data analysis, including interview and survey data

  1. Report Writing: Writing data summaries, including summaries of observations, qualitative and/or quantitative survey data, and interviews
  2. Collaboration: Collaborating with team members to ensure smooth project execution and timely delivery of research outcomes

Physical Requirements

The candidate must be able to complete the following physical requirements with or without a reasonable accommodation:

·         Remain in a stationary position (sitting or standing)

·         Consistently operate a computer and other office productivity devices (e.g., copy machine, printer)

·         Communicate effectively, both orally and in writing

·         Travel by car and airplane, including overnight stays (typically 1–3 days in duration), as needed

Hours and Salary

This exempt position will require 40 hours of work per week, usually between 8:30 am and 5:00 pm Monday through Friday. This is a hybrid position with some in-office work required. Occasional work-related travel is required. Salary is dependent upon experience and qualifications.

Timeline

The position will start on September 1 or later (depending on the availability of funding).

Benefits

Benefits currently include paid sick and vacation time, health care coverage, Employee Assistance Program (EAP), basic life insurance, 401K with matching contributions, profit sharing, and retirement planning services.

Additional Information

HRI is an Equal Opportunity Employer and does not discriminate based on race, color, age, sex, religion, national origin, citizenship, marital status, veteran status, sexual orientation, gender identity or expression, disability, genetic information, or any other personal characteristics protected by law.

Candidates of all backgrounds who meet the criteria above are strongly encouraged to apply.

To Apply

Applications must include:

1.      A letter of interest that states the position you are applying for and your available start date

2.      A current résumé or curriculum vitae

These documents should be submitted to Gretchen Newman with the subject line “STEM Education Research Associate Position.” Review of applications will begin immediately and continue on a rolling basis.

Company Description

Horizon Research, Inc. (HRI) is a small private research firm in Chapel Hill, North Carolina. We specialize in research and evaluation related to science, technology, engineering, and mathematics (STEM) education. We currently have over 40 projects, divided between evaluations and research studies and spanning early childhood education through graduate school. Our staff have backgrounds in education, STEM (science, technology, engineering, and mathematics) disciplines, and social science research. HRI is committed to promoting justice, equity, diversity, and inclusion in all our work.