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Startup Entry Level Data Analyst Jobs (NOW HIRING)

Degree in a quantitative field or 1+ years of experience in data analysis, product analytics, or a similar quantitative role (startup or fintech experience is a plus) * Strong proficiency in SQL, BI ...

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 ...

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

New York, NY · On-site

$90K - $100K/yr

Degree in a quantitative field or 1+ years of experience in data analysis, product analytics, or a similar quantitative role (startup or fintech experience is a plus) * Strong proficiency in SQL, BI ...

Airship is recruiting for a Data Analyst to join our dynamic ASO Team. We work with top app ... Ability to thrive with minimal direct supervision/management (Gummicube is a startup and everyone ...

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Business Data Analyst (Entry Level) Cape Coral, FL | Full-Time | On-Site About the Role We are seeking a motivated and detail-oriented Entry Level Business Data Analyst to join our growing team in ...

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 ...

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 ...

Data Analyst

San Francisco, CA · On-site

$55K - $120K/yr

Reconcile financial and transactional data from multiple sources to enable accurate, repeatable ... Startup mindset: Not scared of ambiguity and hungry for rapid growth * Intensity & Ownership: This ...

Radford City - Main Campus The Data Analyst is an entry-level position that provides essential data and reporting support to the Senior Director of Operations and Planning for Radford University ...

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

Data Analyst

Radford, VA · On-site

$38K/yr

Radford City - Main Campus The Data Analyst is an entry-level position that provides essential data and reporting support to the Senior Director of Operations and Planning for Radford University ...

Female-led startup * $130M total funding * Strong leadership team with experience from many successful startups around the world Insurify is looking for several Business Data Analysts to be a part of ...

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Startup Entry Level Data Analyst information

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

As of May 29, 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 are the key skills and qualifications needed to thrive as a Startup Entry Level Data Analyst, and why are they important?

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 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 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 May 2026, with employment types broken down into 86% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 81% Physical, and 19% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Data Analyst

$90K - $100K/yr

Full-time

Posted 21 days ago


Job description

Why Prizeout
 
At Prizeout, we're redefining how people engage with their money through smarter, data-driven rewards. We're looking for curious, analytical builders who love turning big, complex data into meaningful insights that drive loyalty and better financial outcomes. We keep the user at the center of every decision and we value humility, curiosity, and ownership.
 
About This Role
 
As a Data Analyst, you'll drive insights across the Debit & Credit Card Rewards & CashBack+ Products. You will analyze how credit union members adopt & interact with the various products to help partners and Prizeout track and improve member experience and financial outcomes. You'll build analytical models and client-facing dashboards to increase visibility and help drive adoption. This is a high-impact role for someone who loves turning big, complex data into tangible results for clients and is motivated by improving real people's everyday financial lives.
What You'll Do
  • Develop a deep understanding of the Debit & Credit Card Rewards, CashBack+ (including Pay), and Actions products, including their product and financial performance metrics
  • Partner with clients and client-facing teams to understand their needs and identify opportunities to improve workflows and member experiences
  • Build analytical frameworks and dashboards to track partner member adoption and product performance
  • Define and measure key activation milestones (e.g., deposit health signals, card linking, first gift card purchase, streak activity)
  • Analyze partner adoption funnels and identify drivers of successful product launches
  • Collaborate cross-functionally to define KPIs, test hypotheses, and measure the impact of initiatives (e.g., marketing) on product adoption
  • Support GTM and partner teams with analytics that drive adoption, engagement, and growth
  • Translate complex analyses into clear insights, recommendations, and narratives for senior stakeholders
What We're Looking For
  • Degree in a quantitative field or 1+ years of experience in data analysis, product analytics, or a similar quantitative role (startup or fintech experience is a plus)
  • Strong proficiency in SQL, BI tools (e.g., Tableau or Looker), and Excel
  • Ability to organize ambiguity and clearly communicate the "so-what"
  • Comfort working with financial data, behavioral signals, and marketplace metrics
  • Desire to influence the product direction and growth strategy through deep user understanding
 
Please Note: Must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.
 
The expected salary range for this position is $90,000-100,000, plus an equity component.
What Is Prizeout?
 
Prizeout is an adtech company with a three-sided marketplace that allows consumers to receive earned or allocated funds via digital gift cards. Our commercial partners offer Prizeout as a withdrawal or disbursement method, while brands can digitally advertise and acquire new customers through Prizeout ad campaigns.
 
Prizeout is committed to creating a 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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