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Entry Level Data Analytics Engineer Jobs in New York

Jackpot is on a mission to create the most trusted online lottery and gaming destination, starting by building the world's most user-friendly digital lottery platform. Guided by our vision of ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Data Engineer

Iselin, NJ · On-site

$95K - $110K/yr

Serve as a Data Engineer Level 1 for projects, enhancements, and production support ... Be responsible for all analysis and support of assigned projects to include hands-on development ...

Showing results 21-40

Entry Level Data Analytics Engineer information

What are some typical projects an entry level data analytics engineer might work on during their first year?

As an Entry Level Data Analytics Engineer, you can expect to work on projects such as cleaning and organizing raw data, building basic data pipelines, and supporting senior engineers in developing dashboards or reports. You may also assist with troubleshooting data issues and automating repetitive tasks using scripts. These tasks help you gain hands-on experience with common tools and platforms, and provide exposure to teamwork and cross-functional collaboration with data analysts, business stakeholders, and IT teams.

What is an entry level data analytics engineer?

An Entry Level Data Analytics Engineer is a professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with large datasets, utilize tools like SQL, Python, or Excel, and help build data pipelines and dashboards. At the entry level, they focus on supporting senior data engineers and analysts, learning best practices, and developing foundational technical skills. This role is ideal for recent graduates or those new to the field looking to gain experience in data engineering and analytics.

What are the key skills and qualifications needed to thrive as an entry level data analytics engineer, and why are they important?

To thrive as an Entry Level Data Analytics Engineer, you need foundational knowledge in statistics, data analysis, and programming, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams. These skills ensure you can extract meaningful insights from data, support business decisions, and contribute to data-driven organizational goals.
What are the most commonly searched types of Data Analytics Engineer jobs in New York? The most popular types of Data Analytics Engineer jobs in New York are:
What job categories do people searching Entry Level Data Analytics Engineer jobs in New York look for? The top searched job categories for Entry Level Data Analytics Engineer jobs in New York are:
Infographic showing various Entry Level Data Analytics Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Analytics Engineer - Crypto and Payments

MoonPay

New York, NY • On-site, Remote

Full-time

Retirement

Re-posted 3 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 Opportunity

This is an opportunity for an ambitious Data Analytics Engineer to have a huge impact across the organization, while working in a complex and rapidly changing crypto environment. We are looking for someone with experience or an interest in end-to-end "full-stack" data work, including: data strategy, analytics/data engineering, and (advanced) data analytics. The main focus of this position will be to play a crucial role in supporting our Accounting and FP&A functions.


What You Will Do
  • Build robust data models and infrastructure downstream of backend services and external data sources, which support reconciliation, internal reporting, and ad-hoc analysis.

  • Develop "The Ledger", which tracks all our crypto and fiat movements from wallet and exchange data sources.

  • Design, build, and scale a MoonPay-wide approach to reconciliation for cash, crypto, and payments data using both internal and external data sources. 

  • Conduct specific analysis and build data solutions for new product flow of funds, crypto inventory balances, or cost basis reporting. 

  • Collaborate with the finance team and the crypto engineering team to conduct investigations into issues, such as crypto delivery timing, or payments reconciliation. 

  • Work closely with accounting and finance to understand their needs, and build custom tables and reporting to support their efforts.


About You

Must-have experience and skills

  • Advanced SQL and data modelling are second nature to you

  • You have a vision and enthusiasm for architecting and building robust data models to contribute to our current ecosystem of data products. 

  • You have the versatility and willingness to learn new technologies on the job and adapt quickly to changing priorities within a very dynamic environment

Nice-to-have experience

  • You have experience and/or a strong interest in working directly with a finance team, interest in Accounting, Financial Audits, or Financial Reporting is a plus.

You are experienced in communicating with cross-functional stakeholders including engineers, finance directors, VPs & C-level executives

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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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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