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Analytics Recruiters Jobs (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 Inc.

Director, Data & Analytics

Manhattan, NY · On-site

$360 - $410/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 ...

Portal Real Estate

Real Estate Recruiter

Miami, FL

$80K/yr

Analyze recruitment data to identify trends and opportunities for improvement in our talent acquisition strategy. * Foster a collaborative environment where new agents feel empowered to share ideas ...

GitLab

Senior People Analytics Analyst

Experience in analytics, preferably within People Analytics, Recruiting Analytics, or a closely related function. * Experience developing reports and dashboards with business intelligence tools such ...

Deca Analytics

Human Resources Specialist

San Juan, PR · On-site

$12 - $15/hr

The ability to analyze recruitment metrics will support the apprentice in making informed decisions and recommendations to improve hiring practices. Additionally, strong organizational skills will be ...

Deca Analytics

Human Resources Assistant

San Juan, PR · On-site

$12 - $15/hr

The ability to analyze recruitment metrics will support the apprentice in making informed decisions and recommendations to improve hiring practices. Additionally, strong organizational skills will be ...

Smart Line core LLC

Recruiter

North Palm Beach, FL

The role also involves tracking and analyzing recruitment metrics to drive continuous improvement. Strong organizational skills, attention to detail, and familiarity with applicant tracking systems ...

24 Seven Talent

Director of Recruiting

Los Angeles, CA · Hybrid

$160K/yr

Analyze and understand market trends and talent acquisition best practices, refining strategies to attract and retain top talent. Oversee the full recruitment lifecycle, including sourcing ...

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Analytics Recruiters information

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$25.5K

$53K

$83.5K

How much do analytics recruiters jobs pay per year?

As of Aug 22, 2026, the average yearly pay for analytics recruiters in the United States is $53,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What is the difference between Analytics Recruiters vs Data Analysts?

AspectAnalytics RecruitersData Analysts
Required CredentialsRecruitment certifications, HR or recruiting experienceDegree in Data Science, Statistics, or related fields
Work EnvironmentRecruitment agencies, HR departments, staffing firmsBusiness, finance, tech companies, or consulting firms
Industry UsageUsed across industries to find analytics talentUsed within organizations to analyze data and generate insights
Search & Comparison IntentHiring analytics professionalsAnalyzing data to inform business decisions

While Analytics Recruiters focus on sourcing and hiring analytics professionals, Data Analysts work within organizations to interpret data and provide actionable insights. Both roles are essential in the analytics ecosystem but serve different functions in the hiring and data analysis processes.

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What states have the most Analytics Recruiters jobs?

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Analytics Recruiters jobs near you
Infographic showing various Analytics Recruiters job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $53,004 per year, or $25.5 per hour.

Director, Data & Analytics

MoonPay

New York, NY • On-site

$410K/yr

Full-time

Retirement

Posted 24 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.
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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