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Startup Entry Level Data Analyst Jobs (NOW HIRING)

Company Description SRP is a big data startup company located in Princeton, NJ focused on Dynamic ... We are looking for a big data analyst that can generate clear and insightful analyses on the data ...

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... Lean Startup lets us turn those ideas into business models that work, quickly and for the least ...

Data Analyst

San Antonio, TX

$70K - $83K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description The Data Analyst role is a strong fit for someone who is genuinely curious about the data they work with and enjoys collaborating in a fast-paced, startup-like environment. They enjoy ...

Data Analyst

San Antonio, TX

$70K - $83K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analyst role is a strong fit for someone who is genuinely curious about the data they work with and enjoys collaborating in a fast-paced, startup-like environment. They enjoy uncovering the ...

Data Analyst

San Antonio, TX · On-site

$70K - $83K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analyst role is a strong fit for someone who is genuinely curious about the data they work with and enjoys collaborating in a fast-paced, startup-like environment. They enjoy uncovering the ...

Data Analyst

Brighton, CO · On-site

$110K - $130K/yr

This data analyst will work closely with our Lead Data Analyst to collect, filter, and interpret ... Experience working in a fast-paced startup environment. * Experience with AVEVA PI System data ...

Data Analyst

San Antonio, TX · On-site

$70K - $83K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analyst role is a strong fit for someone who is genuinely curious about the data they work with and enjoys collaborating in a fast-paced, startup-like environment. They enjoy uncovering the ...

Data Analyst

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Modern Health is looking for a Data Analyst to join our Analytics team. The role reports into our ... High-growth startup experience * Experience developing external-facing client reporting Benefits ...

Associate Data Analyst

Orlando, FL · On-site

$22 - $24/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This opportunity is well suited to entry level candidates interested in data analysis, financial services, compliance, and technology-enabled operations. 4 weeks of training in transaction-monitoring ...

Energy Data Analyst

Pittsburgh, PA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Company Description kWantera is a venture-backed startup company dedicated to helping companies manage their energy. Our team of quantitative energy market analysts work with our big data analytics ...

Energy Data Analyst

Pittsburgh, PA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Company Description kWantera is a venture-backed startup company dedicated to helping companies manage their energy. Our team of quantitative energy market analysts work with our big data analytics ...

Showing results 21-40

Startup Entry Level Data Analyst information

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

As of Aug 17, 2026, the average hourly pay for startup 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 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.

More about Startup Entry Level Data Analyst jobs

What cities are hiring for Startup Entry Level Data Analyst jobs?

Cities with the most Startup Entry Level Data Analyst job openings:

What states have the most Startup Entry Level Data Analyst jobs?

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

Infographic showing various Startup Entry Level Data Analyst job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Full-time

Posted 10 days ago


Job description

Data Analyst

Location: Charlotte, NC (Hybrid)
Team: Credit & Pricing
Reports to: Senior Manager, Credit Risk
Level: Entry Level (1–3 Years Experience)

About Sunlight Financial
Sunlight Financial is a technology-enabled, point-of-sale financing platform that empowers residential home improvement contractors and their customers. Our platform streamlines consumer finance with fast, frictionless loan approvals and funding, backed by a broad network of capital providers. We’re committed to delivering smart, secure, and scalable financial solutions that drive growth and trust across the industry.
Learn more at www.sunlightfinancial.com.
 

About the Role

We’re looking for a curious, Python-fluent Data Analyst to join our team at Sunlight Financial. In this role, you’ll sit at the intersection of data engineering, business intelligence, and emerging AI, helping our company deliver smarter financing experiences to home improvement customers across the country.

You’ll work closely with the Credit & Pricing team and collaborate across Finance, Underwriting, Product, Engineering, and Sales to turn raw data into reliable pipelines, actionable insights, and tools that drive real business decisions. This is a hands-on role for someone who loves to build, automate, and explore and who’s excited about integrating LLM and AI capabilities into everyday data workflows. 

Application Instructions
To be considered for this position, please include the exact job title, "Data Analyst" in red font at the very top of your resume. Applications that do not include this requirement may not be considered.

What You’ll Do

  • Build and maintain data pipelines — design, automate, and monitor workflows that move and transform data reliably across our systems.
  • Develop and maintain dashboards and reports — create clear, accurate reporting that stakeholders across the business can trust and act on.
  • Conduct ad hoc analysis — respond to business questions from Sales, Finance, Underwriting, and Product teams with timely, well-structured analysis.
  • Integrate AI and LLM capabilities — work with APIs such as OpenAI and Claude to explore and implement AI-assisted automation within our data workflows.
  • Support cross-functional data needs — partner with Product, Engineering, and customer-facing teams to understand data requirements and deliver solutions.
  • Contribute to data quality and documentation — help maintain standards, definitions, and documentation that keep our data trustworthy and scalable.
 

Required

  • 2–3 years of hands-on experience working with Python in professional or project-based settings; we want to see Python used in multiple contexts across your background (e.g., data wrangling, automation, analysis, API integrations).
  • Strong SQL skills with experience querying and transforming real-world datasets.
  • Experience building or contributing to data pipelines or automated workflows.
  • Familiarity with dashboard/reporting tools and a track record of delivering clear data visualizations.
  • Comfort working with APIs and integrating external data services.
  • Strong written and verbal communication — you can explain technical work to non-technical stakeholders.

Nice to Have

  • Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, or similar).
  • Exposure to the financial services, fintech, or lending space.
  • Familiarity with data quality practices, testing, or documentation standards.
  • Experience in a startup or fast-moving team environment.
     

Why Join Us?

This is a high-impact role on Sunlight Financial’s Credit & Pricing team. You will work directly with the Credit & Pricing team and collaborate across Finance, Underwriting, Product, Engineering, and Sales to turn raw data into pipelines, insights, and tools that drive real business decisions. Join a fast-evolving, data-driven team where your work makes a real difference.

For additional details surrounding Sunlight’s culture and benefits, please visit https://sunlightfinancial.com/careers/

An Equal Opportunity Employer

Sunlight provides equal employment opportunities (EEO) to all employees and applicants for employment regardless of race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Sunlight complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Sunlight expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Sunlight’s employees to perform their job duties may result in discipline up to and including discharge.