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Internship Data Analytics Engineer Jobs in New York

You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for ...

You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for ...

You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for ...

Analytics Engineer Qualifications: * Bachelor's degree from a top university, required * 3+ years of business intelligence or data analytics experience * Previous experience in data and analytics ...

This role bridges analytics, data engineering, and applied data science, transforming complex and ambiguous business questions into high-quality analyses, dashboards, and data-driven recommendations.

Our Data team sits at the center of how Pelago makes decisions. As we scale, we're building a data ... The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: W ...

Data Analytics- II

Bridgewater, NJ · On-site

$50 - $52/hr

Our client is currently seeking a Data Analytics Analyst/Engineer- II Working Model: Hybrid - 3 days in office per week but this can be slightly flexible Targeted Years of Experience: 3-5 years ...

Analytics Engineer I

New York, NY · Hybrid

$106K - $140K/yr

We're hiring an Analytics Engineer I to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Analytics Engineer

New York, NY · On-site

$125K - $215K/yr

S. enters a new capex supercycle across data centers, factories, housing, and renewables, joining ... Role Overview We are looking for a talented and passionate Analytics Engineer to join our team. In ...

They are seeking a Senior Analytics Engineer to scale data modeling and delivery across the company, ensuring timely and actionable insights for stakeholders. Responsibilities : • Own and mature ...

Analytics Engineer

New York, NY · Remote

$125K - $215K/yr

S. enters a new capex supercycle across data centers, factories, housing, and renewables, joining ... Role Overview We are looking for a talented and passionate Analytics Engineer to join our team. In ...

We're looking for an Analytics Engineer to help build, scale, and maintain the data foundation that powers decision-making across the company. You'll work closely with stakeholders across product ...

Senior Analytics Engineer

New York, NY · On-site

$130 - $185K/hr

About The Role Fora is hiring its first Senior Analytics Engineer to help scale how data is modeled ... As our centralized data team grows, we're looking for a dedicated owner of the analytics ...

Senior Analytics Engineer

New York, NY · On-site

$170K - $220K/yr

You will build Data Warehouse and Data Models at Current. Partnering with data analysts, data scientists and engineers to support their data modeling and reporting needs will enable you to be ...

You will report to the Analytics Engineering Manager, partner closely with Data Engineering, and influence Product, Engineering, and Design stakeholders across each workstream. This opportunity ...

Showing results 21-40

Internship Data Analytics Engineer information

What is the difference between Internship Data Analytics Engineer vs Data Analyst Intern?

AspectInternship Data Analytics EngineerData Analyst Intern
Required CredentialsBasic knowledge of data engineering, SQL, programmingBasic understanding of data analysis, Excel, SQL
Work EnvironmentAssist in building data pipelines, working with data engineering teamsAnalyze datasets, generate reports, support decision-making
Employer & Industry UsageTech companies, startups, data-driven organizationsBusiness, marketing, finance sectors

Internship Data Analytics Engineers focus on data pipeline development and engineering tasks, while Data Analyst Interns primarily analyze data and create reports. Both roles require foundational data skills but differ in technical focus and responsibilities.

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Director, Data & Analytics

MoonPay Inc.

Manhattan, NY • On-site

$360 - $410/hr

Other

Retirement

Posted 5 days ago


Job description

About MoonPay

MoonPay is for builders with something to prove.

This isn't a "work on cool crypto stuff" company. It's a high-standards, high-velocity, high-accountability company building the operating system for value movement. If the internet moves information, we move value: crypto, stablecoins, tokenized assets, and whatever comes next. Four offerings make that real: fund, tokenize, trade, and spend. 30M+ customers and 500+ ecosystem partners run on us. Licensed in the U.S. Regulated across the UK, EU, Canada, and Australia.

AI is the default operating mode here. It's woven into every role, and we expect you to use it daily. It handles the manual work so you can deliver on what actually matters.

You'll thrive here if outcomes excite you more than process, if impact motivates you more than titles, and if you want hard problems, real ownership, and teammates who love winning, building, and doing it together.

The bar is high. The pace is real. We're building for what's next, for humans and agents. Recent recognition: Forbes' America's Best Startup Employers 2026 . 2nd in Crypto Services on Fortune's inaugural Crypto 100, The Sunday Times Best Places to Work two years running.

Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learned, diversity cannot.

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About the role

As Director of Data & Analytics, you'll own Product Data & Analytics across Product & Engineering, reporting to the CTO, Ramps & Platform. You'll have a real mandate: build out the team, define how it operates, and make it the reason MoonPay ships better products faster. The metrics, experimentation, and data infrastructure that Product, Engineering, and Leadership rely on to decide what to build next will be yours to shape.

This is a builder's role. You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for rigor, design the structure and career paths that let each discipline do its best work, and scale the function alongside one of the fastest-growing companies in crypto. If you've wanted to take a data organization to the next level, with executive backing and a business that genuinely depends on it, this is that opportunity.

What you will do
  • Own the direction, roadmap, and operating model for Product Data & Analytics

  • Recruit, hire, and lead a team spanning three disciplines: Data Scientists (experimentation, modeling, causal inference), Analytics Engineers (data modeling, self-serve infrastructure), and Data Analysts (product metrics, dashboards, ad hoc analysis)

  • Design the org structure, leveling, and career paths that let each discipline scale as the team grows

  • Standardize how product metrics, experimentation, and analytics get built and consumed across MoonPay, replacing one-off analysis with reusable, trusted data products

  • Partner directly with Product and Engineering leadership to embed analytics and experimentation into the product development lifecycle, from problem definition through post-launch measurement

  • Set technical and quality standards across the team's work: data modeling conventions, experimentation methodology, dashboarding and reporting practices

  • Represent data and analytics needs in cross-functional planning with Product, Engineering, Finance, Operations, and Compliance

  • Mentor team leads and senior ICs, building a bench of future managers within the function

  • Report on team health, hiring progress, and analytics impact to senior leadership

About you
  • 10+ years of experience in data science, analytics, or analytics engineering, with significant time in a management or leadership role

  • A track record of building and scaling a data/analytics function from the ground up or through a high-growth phase, including hands-on hiring across multiple disciplines

  • Deep experience partnering with Product and Engineering teams to embed analytics and experimentation into how products get built

  • Strong technical fluency across the disciplines you'll manage. You don't need to write production code daily, but you can evaluate tradeoffs in data modeling and experimentation design

  • Excellent stakeholder management skills, with experience communicating clearly to executives, engineers, and cross-functional partners alike

  • Experience working within fintech, payments, or crypto is a strong plus

  • An active interest in cryptocurrency and Web3, and comfort operating in a fast-moving, less-defined environment

Salary Bandings: $360-410k USD

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Benefits & Perks
  • Competitive salary package

  • Equity package: financial freedom starts with our employees, so all employees have ownership at MoonPay

  • Pay-for-performance equity bonus: those who drive outsized outcomes receive outsized rewards

  • Moonshot award: we honor exceptional impact. 10 employees twice a year, each earning a $250,000 equity grant

  • Pension: employer contributions from day one

  • Employee referral program: refer great people, earn 10K in USDC

  • Flexible Time Off: choose when to work and when to switch off

  • Birthday leave: take the day off to celebrate you

  • Enhanced parental leave: more time with family, no second thought

  • Hybrid working schedule: work fully remotely or from your nearest Moonbase

  • Commuter benefits: public transport to and from the office

  • Private healthcare benefits: to protect you and your loved ones

  • Wellhub wellness membership: access to gyms, studios, classes, and wellness apps in one membership

  • Unlimited enterprise access to the latest AI tools: Claude, ChatGPT, Gemini and whatever's next

  • Lunch credit: meals covered on the days you're in the office

  • Home office setup allowance: build the home office of your dreams

  • Remote working allowance: those working fully remotely get a little extra for utilities

  • Monthly product budget and zero-fee crypto transactions

  • $1,000 Annual training budget: we support your learning journey

  • High Potential Program: structured development, mentorship, and stretch opportunities

  • Regular remote company offsites: high-impact in-person sessions and hackathons

  • (Ireland) Cycle to Work scheme: tax-efficient bike, gear, and safety kit

  • (UK) EV Salary Sacrifice: lease an electric vehicle through pre-tax salary

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