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Data Analytics Recruiter Jobs (NOW HIRING)

MoonPay

Director, Data & Analytics

New York, NY

$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 ...

Kanak Elite Services Inc

Data Analytics

Malvern, PA · On-site

Hello There, Wish you a Happy Wednesday, My name is Yashmita, and I am a Technical Recruiter at ... TITLE: MARKETING DATA/EXPERIMENTATION ANALYTICS (LEVEL 3) LOCATION: MALVERN, PA (HYBRID ROLE ...

Motocol

Data analytics Architect

San Jose, CA

Company Description Motocol is recruiting for our client Our client is seeking a senior software ... Collaborate with business analysts and data scientists in eliciting and articulating solution ...

TECO

Data Analytics Architect

Tampa, FL · On-site

X 5 Days Recruiter: Mark Koener TITLE: Data & Analytics Architect PERFORMANCE COACH: Manager, Business Intelligence and Analytics COMPANY: Tampa Electric Company DEPARTMENT: Information Technologies ...

TECO

Data Analytics Architect

Tampa, FL · On-site

X 5 Days Recruiter: Mark Koener TITLE: Data & Analytics Architect PERFORMANCE COACH: Manager, Business Intelligence and Analytics COMPANY: Tampa Electric Company DEPARTMENT: Information Technologies ...

HD Supply

Manager, Data Analytics

Atlanta, GA · On-site

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager, Data Analytics title, it should be viewed and recruited as a Principal/Staff-level Individual ...

Mindlance

Data Analytics Analyst 1

Birmingham, AL · On-site

Mindlance is a company seeking a Data Analytics Analyst 1 to join their team. The role involves ... Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services ...

Headspace

Manager, Data Analytics

Santa Monica, CA · On-site

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Your recruiter will provide more details on the specific salary range for your location during the ...

Headspace

Manager, Data Analytics

Santa Monica, CA · On-site +1

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Your recruiter will provide more details on the specific salary range for your location during the ...

Empower Pharmacy

Manager, Data Analytics

Participate in the recruitment and retention of top-tier analytics talent. Ensure the team ... Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to ...

CFGI

Data & Analytics - Consultant

Charleston, WV

Data & Analytics - Consultant CFGI, founded in 2000, is a dynamic and fast-growing financial ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

rockITdata

Data & Analytics Consultant

Arlington, VA · Remote

Perform data wrangling tasks to ensure data quality and consistency. * Analyze datasets to identify ... You may also verify any suspicious communication by contacting our recruitment team directly ...

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Data Analytics Recruiter information

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How much do data analytics recruiter jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analytics recruiter in the United States is $27.23, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $31.97 per hour, depending on experience, location, and employer.

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 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 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.

Is data analytics a well paid job?

Data analytics is generally considered a well-paid profession, with salaries often higher than average for many industries. Compensation depends on experience, skills in tools like SQL and Python, and certifications, with roles in larger organizations typically offering higher pay.

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.
More about Data Analytics Recruiter jobs
What cities are hiring for Data Analytics Recruiter jobs? Cities with the most Data Analytics Recruiter job openings:
What states have the most Data Analytics Recruiter jobs? States with the most job openings for Data Analytics Recruiter jobs include:
What job categories do people searching Data Analytics Recruiter jobs look for? The top searched job categories for Data Analytics Recruiter jobs are:
Data Analytics Recruiter jobs near you
Infographic showing various Data Analytics Recruiter job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $56,641 per year, or $27.2 per hour.

Director, Data & Analytics

MoonPay

New York, NY

$410K/yr

Full-time

Retirement

Posted 8 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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