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Internship Data Analyst Startup Jobs (NOW HIRING)

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

... or internships, performing national security-related analytics; preference for research ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment * 1+ ...

... or internships, performing national security-related analytics; preference for research ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment * 1+ ...

As a Data Analyst Intern, you will have the opportunity to work closely with our dedicated team ... This internship offers a unique blend of responsibilities, allowing you to develop a diverse skill ...

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable). Experience working with structured ...

Position Summary The Data Analyst supports the Personal Lines team by analyzing data, creating ... projects or internships. The position offers the opportunity to learn the insurance industry ...

$54.57 - $59.38/hr

Internship or project experience in analytics or reporting * Interest in healthcare or working in a purpose-driven organisation Who will thrive here? * Wants their first or second role in data

Coursework related and/or prior internship related to data science/analytics * Working knowledge of statistical modeling * Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal ...

Be Seen First

Entry-Level Data Analyst Full-Time (W2) Candidate must open to relocate. We are looking for a ... Fresh graduates with relevant projects or internships are encouraged to apply. Thanks

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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 Pay Rate: $29.00-35.00/hour Locations: East Hartford, CT 06118 Area Codes: 860, 203 ... internship experience considered) * Strong Microsoft Excel skills, including pivot tables are a ...

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 ...

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 ...

... 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 ...

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 ...

Data Analyst

Lake Forest, IL · On-site

$30 - $35/hr

Data Analyst / Report Developer Lake Forest, IL Hybrid role (Onsite 3x/week) $30-$35 per hour ABOUT ... Prior internship or project experience (preferred) * Coachability, willingness to learn, and a ...

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

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How much do internship data analyst startup jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for internship data analyst startup in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an Internship Data Analyst at a startup, and why are they important?

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 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 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.
More about Internship Data Analyst Startup jobs
What cities are hiring for Internship Data Analyst Startup jobs? Cities with the most Internship Data Analyst Startup job openings:
What are the most commonly searched types of Data Analyst Startup jobs? The most popular types of Data Analyst Startup jobs are:
What states have the most Internship Data Analyst Startup jobs? States with the most job openings for Internship Data Analyst Startup jobs include:
Infographic showing various Internship Data Analyst Startup job openings in the United States as of July 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Compensation Data Analyst

Compensation Data Analyst

Compa

San Francisco, CA • On-site

$100K - $145K/yr

Full-time

Medical, Dental, Vision, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About Compa
Compa is a venture-backed AI startup revolutionizing the future of compensation! We're bringing AI-forward tools and human-centered engineering to make pay competitive and fair, for all. By offering a premier, live compensation data platform that delivers top-tier intelligence to enterprise teams, we enable the world's largest companies to make smart and fair decisions while staying competitive and compliant. In dynamic job markets during the rise of AI, companies need the best data to stay competitive!
Our force-multiplying team is powered by live data and thoughtful design, and our products have earned the trust of the world's largest companies: NVIDIA, Stripe, DoorDash, OpenAI, Moderna, Workday, Ulta, Target, and more.
Come build with us!
The Role:
The Compensation Data Analyst plays a critical role in maintaining trust in Compa's compensation insights by monitoring data yields, identifying systemic data issues, resolving customer-specific data problems, and supporting ongoing data releases and quality management.
Key Responsibilities
  • Monitor the health and recency of compensation data across customer accounts.
  • Investigate and resolve data inconsistencies to ensure reliable insights in the platform.
  • Partner with Product, Engineering, and Integrations teams to support stable data pipelines.
  • Respond to customer- and internally-reported data questions with clear, timely communication.
  • Execute routine data updates and validate accuracy as part of ongoing data releases.
  • Perform recurring data quality checks to proactively maintain data integrity.
  • You'll work at the intersection of compensation expertise, data operations, and product quality.
  • The role offers clear ownership and visibility, with meaningful impact on customer trust and product reliability.

Minimum Qualifications:
  • Experience working with structured datasets and performing data validation or quality checks.
  • At least 3 years of experience working with compensation data and deep knowledge of compensation benchmarking
  • Familiarity with HR technology systems and comfort working with technology systems.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to communicate clearly about data findings and issues with both technical and non-technical stakeholders.
  • Comfort working in a fast-paced, collaborative environment with evolving priorities.

Preferred Qualifications:
  • Exposure to data integrations or APIs.
  • Data analysis and proficiency in advanced data analysis (SQL, Python, etc.)
  • Prior experience in a customer-impacting or support-adjacent role, where clear communication and timely resolution were important.

Compa offers a competitive and comprehensive benefits package including medical, dental, vision, PTO and parental leave, equity, company offsites, continuous education, commuter benefits and a flexible work environment.