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Internship Data Analyst Startup Jobs in New York

... rapidly growing startup. Our product combines digital technology, advertising, consumer ... analytical mind with creative problem-solving skills to use data to drive success. The ideal ...

... rapidly growing startup. Our product combines digital technology, advertising, consumer ... Building proactive analysis through data mining to identify trends and opportunities for product ...

Hands‑on experience turning raw data into analysis used in live mandates. * Exposure to deal processes and financial modelling workflows. * Skill growth with Excel, data wrangling and visualisation ...

This is the place for you if you've worked in a role at the intersection of AI, data analytics ... startup on a mission to revolutionize the $10T construction industry by transforming the way data ...

This is the place for you if you've worked in a role at the intersection of AI, data analytics ... startup on a mission to revolutionize the $10T construction industry by transforming the way data ...

... Data Analyst who thrives at the intersection of data modeling, SQL craftsmanship, and problem ... Thrive in an early-stage startup with smart, intense teammates and constant evolution. * Love ...

Mid-Level Data Analyst

Newark, NJ · On-site

$40K - $60K/yr

Preferred ExperienceExperience, internships, coursework, or exposure in the following areas is ... data and analytics?Apply today to join the Cawley & Bergmann team in Newark, NJ.Must have the ...

Founding Data Analyst

New York, NY · On-site

$150K - $175K/yr

... Data Analyst to join our FinOps team and build the data foundation that powers Counsel's growth ... startup * Compensation : Competitive salary + equity * Benefits : Comprehensive healthcare, vision ...

Senior Data Analyst - Commercial

Manhattan, NY · On-site

$121.30 - $138.40/hr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

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Internship Data Analyst Startup information

What does an internship data analyst do at a startup?

An Internship Data Analyst at a startup typically assists in collecting, cleaning, and analyzing data to help the company make informed business decisions. They work closely with various teams to identify trends, generate reports, and create data visualizations. Due to the fast-paced nature of startups, interns often have the opportunity to work on diverse projects and gain hands-on experience with modern analytics tools. This role is ideal for students or recent graduates looking to build practical skills in data analysis while contributing to the growth of a young company.

What are the key skills and qualifications needed to thrive as an internship data analyst at a startup?

To thrive as an Internship Data Analyst at a startup, you need a solid grounding in statistics, data manipulation, and basic programming skills, often supported by coursework in data science or related fields. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically expected. Strong problem-solving, adaptability, and communication skills help you interpret findings and work effectively within a fast-paced, evolving team. These skills enable you to extract actionable insights from data and contribute meaningfully to the startup’s growth and decision-making.

What are some common challenges faced by data analyst interns at startups, and how can they overcome them?

Data Analyst interns at startups often encounter challenges such as working with limited or unstructured data, rapidly changing priorities, and balancing multiple projects simultaneously. To overcome these, it's important to proactively communicate with team members, seek clarification on project goals, and be adaptable to shifting business needs. Additionally, leveraging mentorship opportunities and utilizing available analytics tools can help interns build confidence and deliver valuable insights, even in a fast-paced environment.

What is the difference between Internship Data Analyst Startup vs Data Analyst?

AspectInternship Data Analyst StartupData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data, statistics, or related fieldBachelor's or higher in data-related disciplines, sometimes certifications
Work EnvironmentStartups, fast-paced, entry-level, learning-focusedVaries from corporate to consulting, more structured
Employer & Industry UsageStartups across tech, e-commerce, and innovative sectorsWide range including finance, healthcare, tech, and consulting
Common Search & ComparisonOften compared for entry-level experience and learning opportunitiesCompared for career progression and specialization

The main difference between an Internship Data Analyst at a startup and a Data Analyst is the experience level and work environment. Internships are typically short-term, entry-level roles focused on learning within startup settings, while Data Analysts are more experienced professionals working in established organizations across various industries.

What are the most commonly searched types of Data Analyst Startup jobs in New York?

The most popular types of Data Analyst Startup jobs in New York are:

What cities in New York are hiring for Internship Data Analyst Startup jobs?

Cities in New York with the most Internship Data Analyst Startup job openings:

Infographic showing various Internship Data Analyst Startup job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Analyst - High‑Growth Tech Startup (Hybrid, 4 days onsite)

Greenfield Talent

Manhattan, NY • On-site

$135 - $200/hr

Other

Posted 4 days ago


Job description

Data Analyst – High‑Growth Tech Startup (Hybrid, 4 days onsite)
  • New York, NY
Data Analyst – High‑Growth Tech Startup (Hybrid, 4 days onsite)

Locations: San Francisco, CA • New York, NY • Denver, CO Compensation: $135K–$200K + competitive equity Work Model: Hybrid — 4 days onsite, 1 day remote Sponsorship: Open to visa transfers; relocation support available

About the Role

A fast‑growing technology company in the healthcare infrastructure space is seeking a Data Analyst to help drive efficiency, product scalability, and operational decision‑making. In this role, you’ll deliver critical analysis, build scalable data models, and create internal tools that empower engineering, product, and leadership teams. Your work will directly influence how the organization delivers transformative software to healthcare providers.

What You’ll Do

Deliver high‑impact analytics & insights: Build dashboards, analyses, and visualizations that support a wide range of stakeholders and inform strategic decisions.

Enable self‑serve data solutions: Develop internal tools and workflows that increase team efficiency and reduce operational friction.

Build scalable data products: Create robust, reliable data models that sit in the critical path of customer value.

Own BI platform implementation: Maintain reporting and visualization systems to ensure data accuracy, accessibility, and usability across the organization.

Who You Are

Bachelor’s degree in Math, Science, Engineering, or another data‑intensive discipline.

4–8 years of experience working with data at scale, including analysis, ETL, and process automation.

3+ years of hands‑on experience with modern data warehouses (Snowflake, BigQuery, or Redshift).

Strong command of SQL in complex, large‑scale environments.

Deep understanding of how different users consume data and how to build tools that meet their needs.

Comfortable navigating ambiguity and solving complex problems with significant business impact.

Clear, concise communicator who can simplify complex concepts for technical and non‑technical audiences.

Experience or exposure to technologies such as GCP/BigQuery, Metabase, Terraform, Python, and dbt.

Role Requirements & Signals

Dealbreakers:

Experience in data analytics or data science within a high‑growth startup environment.

Advanced SQL skills in large‑scale, complex data ecosystems.

Baseline Requirements:

4–8 years in data analysis, ETL, and data warehousing.

3+ years with Snowflake, BigQuery, or Redshift.

Experience with dbt, Python, Terraform, and the GCP/BigQuery ecosystem.

Ability to explain complex data concepts clearly to non‑technical stakeholders.

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