2

Startup Entry Level Data Analyst Jobs in Raleigh, NC

... data analysis, and direct engagement. • Document, analyze, and prioritize feedback through ... startup environment. • A builder mindset and eagerness to roll up their sleeves and defeat ...

... data analysis, and direct engagement. • Document, analyze, and prioritize feedback through ... startup environment. • A builder mindset and eagerness to roll up their sleeves and defeat ...

Biologist - Entry Level

Durham, NC · On-site

$60K - $80K/yr

... analytical instrumentation, document results, and support data review and interpretation. You will contribute directly to timely, accurate laboratory output while adhering to approved procedures ...

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Showing results 41-60

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 Aug 13, 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 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 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 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 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.

Associate Product Manager

Relay

Raleigh, NC • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Relay is a dynamic tech startup focused on revolutionizing frontline work through AI-powered solutions. As an Associate Product Manager, you will define and deliver customer-facing products that empower frontline workers, collaborating closely with engineering and stakeholders to meet user needs.
Responsibilities:
• Drive the roadmap for your product area, collaborating with Engineering to deliver viable, high-impact products and ensure timely, high-quality delivery.
• Write detailed user stories for both new features and product enhancements.
• Participate actively in sprint planning and stand-ups, ensuring clarity and momentum throughout the delivery process.
• Develop a deep understanding of your users—whether external customers or internal teams—through interviews, data analysis, and direct engagement.
• Document, analyze, and prioritize feedback through structured discovery work and review of feedback channels.
• Represent the voice of the customer in sprint planning and product reviews to ensure that business and user goals remain aligned.
• Drive product adoption and enablement by developing clear release notes, training materials, and alignment sessions with go-to-market and customer-facing teams.
• Collaborate with our engineering team to fine tune models that harness our proprietary data sources and durable customer value.
• Proactively identify opportunities to leverage AI/ML to enhance our products, derive deeper insights, and unlock new value for users.
Qualifications:
Required:
• 0–3 years of experience in Product Management, preferably within an enterprise software or SaaS environment.
• A Bachelor's degree in Business, Econ, Computer Science, or related technical or field.
• A strong blend of business and technical acumen, with the ability to engage meaningfully and add value in discussions encompassing both technology and business strategy.
• Curiosity about emerging technologies: A keen interest in staying abreast of cutting-edge technologies, particularly within the AI and automation space, and identifying how they can create new value for users.
• A passion for entrepreneurship with the ability to thrive and react proactively to changing business needs within a dynamic, high-growth startup environment.
• A builder mindset and eagerness to roll up their sleeves and defeat inertia to create customer value.
• Excellent communication and interpersonal skills, with the ability to build strong relationships across internal teams and stakeholders.
Company:
Relay is a cloud based communication platform that offers team communications, operational insights, and workers safety for the leaders. Founded in 2015, the company is headquartered in Raleigh, USA, with a team of 201-500 employees. The company is currently Growth Stage.