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Data Analytics Intern Relocation Jobs in Princeton Junction, NJ

Data Analytics Engineer

New York, NY · On-site

$170K - $210K/yr

We are looking for an Analytics / Data Engineer to build the foundation that enables scalable ... Paid relocation support - we'll help you make the move to NYC * Fully equipped workspace from day ...

We bring trading capabilities, data and analytics together for the first time on a digitized ... As an intern on the data engineering team you will work directly with our senior data engineers ...

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify. WHAT YOU'LL DO: * Set the vision and strategy for Data Analytics and Data Science

We bring trading capabilities, data and analytics together for the first time on a digitized ... As an intern on the data engineering team you will work directly with our senior data engineers ...

Bachelor's Degree in data analytics, urban planning, public administration, business ... Relocation is not available for this position. * THIS POSTING IS FOR A CURRENT VACANCY, AND AECOM ...

Bachelor's Degree in data analytics, urban planning, public administration, business ... Relocation is not available for this position. * THIS POSTING IS FOR A CURRENT VACANCY, AND AECOM ...

Bachelor's Degree in data analytics, urban planning, public administration, business ... Relocation is not available for this position. * THIS POSTING IS FOR A CURRENT VACANCY, AND AECOM ...

The Intern will assist with various IT related projects including working with the IT Service Desk, assisting with the iPhone replacement project and Data Analytics team support. Key Requirements

Showing results 21-40

Data Analytics Intern Relocation information

See Princeton Junction, NJ salary details

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$23

$44

How much do data analytics intern relocation jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data analytics intern relocation in Princeton Junction, NJ is $23.69, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $25.82 per hour, depending on experience, location, and employer.

What is the difference between Data Analytics Intern Relocation vs Data Analyst?

AspectData Analytics Intern RelocationData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, sometimes certifications
Work EnvironmentInternship setting, often temporary, collaborative teamsFull-time, permanent role, more independent responsibilities
Employer & Industry UsageUsed by companies offering internship programs, often in tech, finance, healthcareCommon across industries for ongoing data analysis needs
Search & Comparison IntentPeople exploring internship opportunities, relocation detailsIndividuals seeking full-time data analysis roles

In summary, Data Analytics Intern Relocation focuses on temporary internship roles involving relocation, often for students or recent graduates. Data Analyst positions are full-time roles requiring more experience and offering ongoing employment. The main differences lie in experience level, job permanence, and purpose of the role.

What are some common challenges faced by data analytics interns who relocate for their internship, and how can these be managed?

Relocating for a Data Analytics Internship often presents challenges such as adjusting to a new city, building a professional network from scratch, and adapting to the company's culture and data tools. Interns may find the initial weeks overwhelming as they balance settling in and meeting project expectations. Proactively reaching out to teammates, attending company events, and seeking mentorship can help ease the transition. Many organizations also offer onboarding sessions and resources to support relocated interns, so taking advantage of these can make the move smoother and more rewarding.

What are Data Analytics Intern relocation programs?

Data Analytics Intern Relocation programs are initiatives by employers to support interns who need to move to a new city or country for a data analytics internship. These programs may provide financial assistance, housing support, or guidance on moving logistics. The goal is to make it easier for interns to transition smoothly and focus on their internship experience. Depending on the employer, relocation packages can vary greatly, so it’s important to ask about available support during the application process.

What are the key skills and qualifications needed to thrive as a data analytics intern?

To thrive as a Data Analytics Intern, you need a strong grasp of statistics, data analysis, and foundational programming skills, often supported by coursework in data science, statistics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically expected. Critical thinking, attention to detail, and effective communication make candidates stand out by enabling them to interpret and present data insights clearly. These skills and qualities are crucial for extracting actionable insights from complex data and supporting informed business decisions.
What job categories do people searching Data Analytics Intern Relocation jobs in Princeton Junction, NJ look for? The top searched job categories for Data Analytics Intern Relocation jobs in Princeton Junction, NJ are:
What cities near Princeton Junction, NJ are hiring for Data Analytics Intern Relocation jobs? Cities near Princeton Junction, NJ with the most Data Analytics Intern Relocation job openings:
Infographic showing various Data Analytics Intern Relocation job openings in Princeton Junction, NJ as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 51% Full Time, 36% Part Time, 2% Temporary, and 9% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $49,277 per year, or $23.7 per hour.

Data Analytics Engineer

Confido

New York, NY • On-site

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


Job description

Confido is the AI infrastructure powering modern CPG - the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance, accounting, sales, and operations, unified in one system for the first time.
We're growing 5x year over year with a small team in New York City; the people who join now will shape the product, the culture, and the company itself.
If you want your work on shelves everywhere - and outsized ownership while you build - we'd love to meet you.
The Role
At Confido, data powers everything from customer-facing insights to internal decision making. We are looking for an Analytics / Data Engineer to build the foundation that enables scalable reporting, trusted metrics, and seamless data access across the company.
What You'll Do
  • Design, build, and maintain our centralized data warehouse and analytics infrastructure.
  • Develop scalable data models that power reporting, dashboards, operational workflows, and customer-facing data exports.
  • Serve as the steward of Confido's data landscape, creating visibility into data ownership, lineage, and dependencies while ensuring data is discoverable, trustworthy, and easy to consume across the organization.
  • Consolidate and standardize data models across multiple products and teams, creating a single source of truth for the business.
  • Establish data engineering best practices, including data modeling standards, testing, documentation, monitoring, and governance.
  • Partner closely with Engineering, Product, Operations, and Customer teams to define metrics and deliver actionable insights.
  • Improve data quality, reliability, and accessibility across the organization.
  • Enable self-service analytics by creating scalable datasets and semantic layers for downstream consumers.

What We're Looking For
  • 4-8 YOE building and operating modern data warehouses and analytics platforms.
  • Strong SQL skills and experience modeling large datasets.
  • Deep experience with distributed data processing, including designing performant ETL pipelines and optimizing large-scale data workloads.
  • Experience with data pipeline orchestration, ETL/ELT workflows, and data infrastructure.
  • Familiarity with modern analytics tooling such as Snowflake, dbt, or similar technologies.
  • Ability to balance immediate business needs with long-term platform investments.
  • Excellent communication skills and a track record of working cross-functionally with technical and non-technical stakeholders.

Success in This Role
Within your first year, you'll establish the foundation of Confido's analytics platform by building a scalable data warehouse, unifying fragmented data models across teams, and creating the infrastructure and standards that allow every engineer to reliably publish and consume data. Your work will directly enable faster decision-making, better customer insights, and a more data-driven organization.
Perks + Benefits
  • Equity - own a meaningful piece of the company you're helping build
  • Fully paid health coverage through Aetna - we cover 100% of employee premiums
  • Top-tier dental and vision coverage through Guardian
  • Carrot Fertility Pro - comprehensive fertility and family-forming support
  • 12 weeks of paid parental leave
  • Unlimited PTO - plus regular 4-day holiday weekends we actually take
  • 401(k) through Vestwell
  • Paid relocation support - we'll help you make the move to NYC
  • Fully equipped workspace from day one - laptop, monitor, keyboard, and a $200 stipend to personalize your setup
  • Team perks - catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with

Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.