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Data Analytics Recruiter Jobs in New York (NOW HIRING)

MoonPay

Director, Data & Analytics

New York, NY · On-site

$410K/yr

Recruit, hire, and lead a team spanning three disciplines: Data Scientists (experimentation, modeling, causal inference), Analytics Engineers (data modeling, self-serve infrastructure), and Data ...

MoonPay

Director, Data & Analytics

New York, NY · On-site

$410K/yr

Recruit, hire, and lead a team spanning three disciplines: Data Scientists (experimentation, modeling, causal inference), Analytics Engineers (data modeling, self-serve infrastructure), and Data ...

MoonPay Inc.

Director, Data & Analytics

Manhattan, NY · On-site

$250/hr

Recruit, hire, and lead a team spanning three disciplines: Data Scientists (experimentation, modeling, causal inference), Analytics Engineers (data modeling, self-serve infrastructure), and Data ...

Oscar Health

Manager, Data Analytics

New York, NY · Remote

$111K - $145K/yr

We're hiring a Manager of Data Analytics to join our Clinical Analytic Team. Oscar is the first ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

Oscar Health

Manager, Data Analytics

New York, NY · On-site

$111K - $145K/yr

We're hiring a Manager of Data Analytics to join our Clinical Analytic Team. Oscar is the first ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

Oscar Health

Manager, Data Analytics

Manhattan, NY · On-site

$111K - $145K/yr

We're hiring a Manager of Data Analytics to join our Clinical Analytic Team. Oscar is the first ... Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or ... Ability to profile, explore, and analyze data to identify common data patterns * Familiarity with ...

Omnicom

Senior Analyst, Data & Analytics

New York, NY · On-site

$94K - $118K/yr

Link to Recruitment Privacy Notice: For US Job Seekers: It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment ...

Omnicom

Senior Analyst, Data & Analytics

New York, NY · Hybrid

$94K - $118K/yr

Link to Recruitment Privacy Notice: For US Job Seekers: It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment ...

Qvest US

Practice Lead, Data & Analytics

New York, NY · On-site

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast ... Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or ...

Qvest Group

Practice Lead, Data & Analytics

Manhattan, NY · On-site

$125 - $150/hr

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast ... Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or ...

Qvest US

Practice Lead, Data & Analytics

New York, NY · On-site

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast ... Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or ...

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Data Analytics Recruiter information

What does a Data Analytics Recruiter do?

A Data Analytics Recruiter specializes in finding and hiring qualified professionals for data analytics roles within organizations. They work closely with hiring managers to understand the technical requirements of analytics positions, source and screen candidates with relevant skills in data analysis, and manage the interview and hiring process. Data Analytics Recruiters must be knowledgeable about analytics tools, industry trends, and the specific needs of data-driven teams to successfully match candidates to the right opportunities.

What are the key skills and qualifications needed to thrive as a Data Analytics Recruiter?

To thrive as a Data Analytics Recruiter, you need a solid understanding of data analytics roles, strong sourcing abilities, and experience with full-cycle recruitment, typically supported by a bachelor's degree in human resources or a related field. Familiarity with applicant tracking systems (ATS), LinkedIn Recruiter, and data-driven recruitment tools is crucial. Excellent communication, relationship-building, and negotiation skills set standout professionals apart in this field. These skills and tools are vital for identifying top analytics talent and matching them effectively with organizational needs.

What are some common challenges Data Analytics Recruiters face when sourcing candidates, and how can they be addressed?

Data Analytics Recruiters often encounter challenges such as a limited pool of qualified candidates, rapidly evolving technical skill requirements, and high competition from other employers seeking analytics talent. To address these issues, recruiters can build strong relationships with academic institutions, leverage specialized job boards and networking events, and stay updated on the latest data analytics tools and technologies. Proactively engaging with passive candidates and collaborating closely with hiring managers to define precise role requirements also helps improve sourcing effectiveness.

What is the difference between Data Analytics Recruiter vs Data Analyst?

AspectData Analytics RecruiterData Analyst
Required CredentialsRecruitment certifications, HR or recruiting experienceDegree in Data Science, Statistics, or related field
Work EnvironmentRecruitment agencies, HR departments, staffing firmsBusiness, finance, tech companies, or consulting firms
Employer & Industry UsageUsed in HR and staffing sectors to source data talentUsed across industries to analyze data and generate insights
Search & Comparison IntentFocuses on recruiting data professionalsFocuses on analyzing data to inform business decisions

The main difference is that a Data Analytics Recruiter specializes in sourcing and hiring data professionals, while a Data Analyst focuses on analyzing data to support business strategies. Both roles require familiarity with data concepts, but their core responsibilities and work environments differ significantly.

What are popular job titles related to Data Analytics Recruiter jobs in New York?

For Data Analytics Recruiter jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Analytics Recruiter jobs in New York look for?

The top searched job categories for Data Analytics Recruiter jobs in New York are:

What cities in New York are hiring for Data Analytics Recruiter jobs?

Cities in New York with the most Data Analytics Recruiter job openings:

Data Analytics Recruiter jobs near you
Infographic showing various Data Analytics Recruiter job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Remote job distribution.

Director, Data & Analytics

MoonPay

New York, NY • On-site

$410K/yr

Full-time

Retirement

Re-posted 11 days ago

Key responsibilities

  • Own the direction, roadmap, and operating model for Product Data & Analytics.

  • Recruit, hire, and lead a team spanning Data Science, Analytics Engineering, and Data Analysts, and design their structure and career paths.

  • Partner with Product and Engineering leadership to embed analytics and experimentation into the product development lifecycle.

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.
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
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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