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Internship Data Analyst Startup Jobs in Springfield, NJ

Data & AI Analyst

New York, NY · On-site

$125K - $175K/yr

About the Role The Data & AI Analyst (Operations) will be a core member of the Business Operations ... moving startup team. * Significant career growth opportunities in a high-visibility, cross ...

About the Role Rain is hiring a Senior Product Data Analyst to be the analytical engine behind our ... Previous startup or hypergrowth environment experience * Experience standing up an analytics ...

Senior Product Data Analyst

Manhattan, NY · On-site

$182.67 - $194.84/hr

Partner with data engineering on the underlying data model -- how events, ledger entries ... Previous startup or hypergrowth environment experience * Experience standing up an analytics ...

About the Role Rain is hiring a Senior Product Data Analyst to be the analytical engine behind our ... Previous startup or hypergrowth environment experience • Experience standing up an analytics ...

One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience * Comfort with analyzing novel data and explaining concepts to ...

One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience * Comfort with analyzing novel data and explaining concepts to ...

One to five years of prior equity/investment/scientific research or consulting experience, including any relevant internship experience * Comfort with analyzing novel data and explaining concepts to ...

You'll be a member of the Data & Analytics team, embedded in the Line of Credit pod. Day-to-day ... Experience in a fast-paced consumer finance or fintech startup environment is strongly preferred.

Showing results 41-60

Internship Data Analyst Startup information

See Springfield, NJ salary details

$12

$23

$43

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

As of Aug 19, 2026, the average hourly pay for internship data analyst startup in Springfield, NJ is $23.43, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $25.53 per hour, depending on experience, location, and employer.

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 job categories do people searching Internship Data Analyst Startup jobs in Springfield, NJ look for?

The top searched job categories for Internship Data Analyst Startup jobs in Springfield, NJ are:

What cities near Springfield, NJ are hiring for Internship Data Analyst Startup jobs?

Cities near Springfield, NJ with the most Internship Data Analyst Startup job openings:

Infographic showing various Internship Data Analyst Startup job openings in Springfield, NJ as of June 2026, with employment types broken down into 23% Internship, 53% Full Time, 12% Part Time, and 12% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $48,744 per year, or $23.4 per hour.

Data & AI Analyst

Moab

New York, NY • On-site

$125K - $175K/yr

Full-time

Re-posted 4 days ago


Job description

About Moab
Moab is building a modern, all-in-one software platform for equipment dealers & rental businesses.
The equipment dealer & rental market is a key part of the multi-trillion dollar construction, agriculture, and logistics industries, and is currently underserved by antiquated incumbent software solutions (most of which were founded in the 1980's and 1990's).
Our vision is to connect everyone who is selling, buying, renting, servicing, or utilizing equipment, starting with a new system-of-record for equipment rental businesses that will help our customers create efficiency in the back office and generate more revenue in the front office.
We're a small team of energetic, dedicated, and passionate individuals. We value team members that can not only roll up their sleeves to do hands-on work, but also think clearly & creatively about the big picture. We seek new team members who are eager to dive in and collaborate with the rest of the team to drive impact for our customers and for the business. At Moab, you'll find significant room for career growth, fostered by a meritocratic culture that prioritizes individual and team development.
About the Role
The Data & AI Analyst (Operations) will be a core member of the Business Operations team, sitting at the intersection of customer implementation, internal tooling, and data operations.
This is a hands-on, technical role that blends data work with product-like ownership of the internal tools and workflows that power Moab's operations. You'll manage customer data migrations from SMB to enterprise using Moab's Python SDK and API. You'll maintain and extend the AI-powered internal tooling our team relies on daily for operations and customer enablement. And you'll build out reporting and BI capabilities that give both our team and our customers visibility into what matters.
If you like variety, working across the stack, and having real ownership over the systems that make a business run, this role is for you.
What You'll Do
  • Maintain, improve, and build new internal tools (including AI-powered tooling) used across operations and customer enablement.
  • Own customer data migrations end-to-end: map, transform, validate, and load data into Moab's schema using our Python SDK and API, supporting everything from mid-market implementations to bespoke enterprise engagements.
  • Design and maintain a library of Python scripts and reusable transformation utilities that make customer onboarding repeatable and scalable.
  • Define and enforce standards for data migrations (canonical schemas, QA practices, and documentation).
  • Build and maintain reporting and BI solutions (Power BI, SQL-based dashboards) for internal stakeholders and customers, covering implementation progress, data health, and operational metrics.
  • Partner with Engineering and Business Operations to resolve data quality issues, enhance the SDK, and improve internal workflows.
  • Contribute to process documentation, internal libraries, and cross-functional enablement resources.

What You Need
If you don't think you meet all of the criteria below but are excited about the role, please apply. Nobody checks every box; we're looking for someone who's eager to learn and grow with us.
  • 0-5+ years of experience in a data analyst, implementation analyst, or technical operations role.
  • Strong proficiency in Python and SQL; experience working with APIs and SDKs.
  • Comfort maintaining and iterating on internal tools and automation. You don't just write scripts, you think about how to make them better over time.
  • Understanding of data modeling, data transformation, and ETL concepts.
  • Experience with Power BI (or similar BI tools), or the ability to learn quickly.
  • Comfort working in Git/GitHub and collaborating on code in a team environment.
  • Excellent communication skills and a high attention to detail.
  • A proactive, ownership-driven mindset; able to balance speed and precision in a fast-paced environment.

Nice to Haves
  • Experience with customer data migrations or data integrations in a SaaS environment.
  • Familiarity with AI/LLM-based tooling or workflow automation.
  • Ability to own ETL / data pipelines using existing vendors (e.g., Fivetran).
  • Interest in building standardization and automation for scaling data processes.

Why Moab
  • Be part of a small, high-impact team shaping the foundation of Moab's data and tooling operations.
  • Work with modern tools - including AI-powered internal systems - alongside an experienced, fast-moving startup team.
  • Significant career growth opportunities in a high-visibility, cross-functional role.
  • Competitive compensation, equity, and benefits.