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Director Data Analytics Engineer Jobs (NOW HIRING)

Skills can be learned, diversity cannot. _____ About the role As Director of Data & Analytics, you ... You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring ...

About the role As Director of Data & Analytics, you'll own Product Data & Analytics across Product ... You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring ...

Data Analytics Engineer

Miami Lakes, FL ยท On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data ... They must be self-directed and comfortable supporting the data needs of multiple teams, systems and ...

Director, Data & Analytics

Manhattan, NY ยท On-site

$360 - $410/hr

Skills can be learned, diversity cannot. _____ About the role As Director of Data & Analytics, you ... You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring ...

Director, Data Analytics

Manhattan, NY ยท On-site

$180 - $260/hr

About the Role Polymarket is hiring a Director of Data Analytics to lead the team that turns data into decisions across the company. You'll lead our embedded analytics organization, including ...

Data Analytics Engineer

Spring, TX ยท On-site

$96K - $116K/yr

Data Engineer / Analytics Engineer Location: Spring, TX Local candidates only - must be located within 40 miles of Spring, TX We're looking for a highly experienced Data/Analytics Engineer with 10 ...

Director, Data Engineering We are Lennar Lennar is one of the nation's leading homebuilders ... Lead, mentor, and develop a team of data engineers, analysts, and scientists, ensuring alignment ...

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Milwaukee, WI ยท Hybrid

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Data Analytics Engineer

Glen Allen, VA ยท On-site

$106K - $127K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them * Design and build a single source of ...

Data Analytics Engineer

Kokomo, IN ยท On-site

$101K - $121K/yr

The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines ...

Data Analytics Engineer

San Francisco, CA ยท Remote

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Data Analytics Engineer

Miami, FL ยท On-site

$109K - $131K/yr

... Data Analytics Engineer reporting to the Data Analytics Engineer Lead. The position is onsite and ... Please note this is a direct search by the Company, and applications through agencies and other ...

Data Analytics Engineer

Lexington Park, MD ยท On-site

$111K - $133K/yr

They are seeking a Data Analytics Engineer to work with operational and customer stakeholders to acquire, process, and analyze diverse data sources for mission-critical projects. Responsibilities ...

Data Analytics Engineer

Houston, TX ยท On-site

$130K - $140K/yr

Data Analytics Engineer Location: Houston TX (4 days in office) Type: Full Time This role is a hybrid, bridging the gap between data engineering and business intelligence. You'll spend part of your ...

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Director Data Analytics Engineer information

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$73K

$194.7K

$254K

How much do director data analytics engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for director data analytics engineer in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What does a Director Data Analytics Engineer do?

A Director Data Analytics Engineer oversees the design, development, and implementation of data analytics solutions within an organization. They lead teams of data engineers and analysts, set the vision for data infrastructure, and ensure that data systems effectively support business goals. Their responsibilities include managing data architecture, optimizing data workflows, and collaborating with other departments to translate business needs into technical requirements. Additionally, they are often involved in strategic planning and in establishing best practices for data governance and security.

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

To thrive as a Director Data Analytics Engineer, you need deep expertise in data engineering, analytics, and strategic leadership, supported by a degree in computer science or a related field and significant industry experience. Proficiency with big data platforms (such as Hadoop and Spark), cloud services (AWS, Azure, or Google Cloud), and advanced analytics tools, along with certifications in data management or analytics, is typically required. Exceptional communication, team leadership, and problem-solving skills help drive cross-functional collaboration and innovation. These skills and qualities are essential for effectively leading analytics initiatives, translating business needs into data solutions, and driving organizational growth through data-driven decision-making.

How does a Director Data Analytics Engineer typically collaborate with cross-functional teams to drive data-driven decision making?

As a Director Data Analytics Engineer, you will regularly collaborate with stakeholders across business units, such as product managers, IT, and executive leadership, to understand their data needs and translate them into actionable analytics solutions. This often involves leading a team of data engineers and analysts, facilitating regular meetings to align on project priorities, and ensuring data infrastructure supports strategic business objectives. Effective communication and the ability to present complex technical findings in a clear, business-friendly manner are essential for fostering a data-driven culture and influencing key decisions.

What is the difference between Director Data Analytics Engineer vs Data Analytics Manager?

AspectDirector Data Analytics EngineerData Analytics Manager
CredentialsBachelor's/Master's in Data Science, Analytics, or related field; often requires leadership experienceBachelor's/Master's in Analytics, Business, or related field; focus on team management
Work EnvironmentStrategic leadership, overseeing analytics projects, collaborating with executivesManaging analytics teams, project execution, reporting to directors or executives
Industry UsageUsed across tech, finance, healthcare, and more for high-level analytics strategyCommon in various industries for managing analytics operations

The Director Data Analytics Engineer focuses on strategic leadership and overseeing analytics engineering initiatives, while the Data Analytics Manager handles day-to-day team management and project execution. Both roles require strong technical backgrounds, but the director position emphasizes strategic planning and cross-department collaboration.

What cities are hiring for Director Data Analytics Engineer jobs?

Cities with the most Director Data Analytics Engineer job openings:

What are the most commonly searched types of Data Analytics Engineer jobs?

The most popular types of Data Analytics Engineer jobs are:

What states have the most Director Data Analytics Engineer jobs?

States with the most job openings for Director Data Analytics Engineer jobs include:

Infographic showing various Director Data Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.

Director, Data & Analytics

MoonPay

New York, NY โ€ข On-site

$410K/yr

Full-time

Retirement

Posted 27 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,ย 
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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