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Startup Entry Level Data Analyst Jobs (NOW HIRING)

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 ...

About Compa Compa is a venture-backed AI startup revolutionizing the future of compensation. In a ... The Role: The Compensation Data Analyst plays a critical role in maintaining trust in Compa ...

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 ...

Position Summary The Data Analyst supports the Personal Lines team by analyzing data, creating ... This entry-level role is ideal for a recent graduate with strong technical skills who can ...

New

Data Entry Clerk / Part Time (Remote)

$17.50 - $23.25/hr

Exciting Opportunity - Remote Entry-Level Data Entry Clerk Are you a detail-oriented, organized ... analysis and contribute to actionable insights that drive business decisions. * Embrace new ...

Senior Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a ... As part of a rapidly growing startup, you'll have the freedom to shape your role, choose your tools ...

Data Analyst

Richmond, VA · On-site

$62K/yr

Position Summary The Data Analyst supports the Personal Lines team by analyzing data, creating ... This entry-level role is ideal for a recent graduate with strong technical skills who can ...

New

Senior Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a ... As part of a rapidly growing startup, you'll have the freedom to shape your role, choose your tools ...

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Startup Entry Level Data Analyst information

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$13

$32

$61

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

As of Jul 13, 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 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, 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 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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Commercialization Data Analyst

Commercialization Data Analyst

Cornell University

Ithaca, NY • On-site

$66K - $76K/yr

Full-time

Medical, Retirement

Posted 7 days ago


Job description

Cornell Research & Innovation seeks candidates for a new entry-level data science position working with large datasets to analyze and connect new scientific discoveries with potential commercialization opportunities. Prospective candidates will possess experience working with terabyte-size datasets and be adept working with applicable software and LLM-based tools. The position will report to and work closely with the Vice Provost for Entrepreneurship, Innovation, and External Engagement.
Key responsibilities include:
  • Developing, documenting, and maintaining datasets related to the production and commercialization of scientific discoveries
  • Conducting analyses to support entrepreneurship, innovation, and engagement initiatives with corporations and alumni
  • Assisting other campus entities in the adoption and use of large datasets for their own needs
  • Supporting efforts by Cornell IT and the Cornell AI Initiative to incorporate dataset products into dashboards, websites, and other resources for faculty and staff use
  • Staying abreast of and recommending improvements to data sources, including LinkedIn, PitchBook, and OpenAlex

As part of the Cornell community, you will help foster a culture of belonging and a healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others.
About Us
The new Cornell Center for Entrepreneurship and Innovation will bring together related programs, incubators, and centers with the aim of boosting university efforts to commercialize breakthrough scientific discoveries. Matt Marx, vice provost for entrepreneurship, innovation, and external engagement, serves as founding director of the new center that will include Entrepreneurship at Cornell, the Center for Regional Economic Advancement, the Praxis Center for Venture Development, the Center for Life Science Ventures, and the Center for Technology Licensing.
What We Need
Send us a cover letter and resume outlining your interest in this position and explaining how your experience and qualifications match the position requirements. Specifically, your letter should describe at least two examples of datasets and relevant tools that you have worked with and used.
When evaluating your candidacy, we will look for evidence of the following:
  • Bachelor's degree in a relevant field, such as computer science or data analytics; an equivalent combination of relevant experience and education also may be considered
  • Keen understanding of software development
  • Demonstrated facility with software tools for merging and reporting on terabyte-size datasets, including programming languages like Python and LLM-based tools like Claude Code, Grok Build, and Codex
  • Experience with multithreaded program design
  • Experience modeling values that support inclusion, belonging, and wellbeing

Additionally, although not required, the following would represent pluses:
  • Interest in science and innovation
  • Familiarity with datasets relating to innovation and academia, such as patents and academic publications

Important Note: Employment sponsorship (visa) is not available for this position.
Rewards and Benefits
  • This position is located in Ithaca, New York on the campus of Cornell University. Cornell receives national recognition as an award-winning workplace for our health, wellbeing, and sustainability.
  • Our benefits programs include comprehensive health care options, generous retirement contributions, access to wellness programs, and employee discounts with local and national retail brands. We invite you to follow this link to get more information about our benefits: Understand Your Benefits | Working at Cornell.
  • Our leave provisions include health and personal leave, three weeks of vacation and 13 holidays: Martin Luther King, Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving and the day after, and an end of the year winter break from December 25-January 1. To offer greater flexibility for observing faiths and traditions, we also offer two additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued Time Off | Working at Cornell.
  • Cornell's impressive educational benefits include tuition-free Extramural Study and Employee Degree Program, tuition aid for external education, and Cornell Children's Tuition Assistance Program. Learn more about our extensive educational benefits: Education Benefits | Working at Cornell.

University Job Title:
Informatics/Data Analyst II
Job Family:
Administration
Level:
E
Pay Rate Type:
Salary
Pay Range:
$66,004.00 - $76,707.00
Remote Option Availability:
Onsite
Company:
Endowed
Contact Name:
Kathy McKee
Contact Email:
kem342@cornell.edu
Job Titles and Pay Ranges:
Non-Union Positions
Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria:
  • Prior relevant work or industry experience
  • Education level to the extent education is relevant to the position
  • Unique applicable skills
  • Academic Discipline

To learn more about Cornell's non-union staff job titles and pay ranges, see Career Navigator.
Union Positions
The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell's union wages, see Union Pay Rates.
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Employment Assistance:
For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email mycareer@cornell.edu.
If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice (607) 255-2242, or email at accommodations@cornell.edu.
Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu.
Notice to Applicants:
Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.
EEO Statement:
Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of "... any person ... any study." No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.
Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.
2026-07-07