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Data Analytics Manager Jobs in Matawan, NJ (NOW HIRING)

Data Science & Analytics Manager

New York, NY ยท On-site

$240K - $300K/yr

The Role We're looking for a Data Science Manager to lead Clay's Data Science and Analytics team (DSA). DSA is a team of data scientists and analytics engineers that serves as the company's center of ...

DIRECTOR OF DATA ANALYTICS Current is a leading consumer fintech platform transforming financial ... Manage the performance, career tracks, and professional growth of Analytics Managers and Leads.

DIRECTOR OF DATA ANALYTICS Current is a leading consumer fintech platform transforming financial ... Manage the performance, career tracks, and professional growth of Analytics Managers and Leads.

Experience leading teams, mentoring analysts, or managing large cross-functional initiatives. * Advanced degree in Analytics, Statistics, Economics, Engineering, Data Science, Business, or a related ...

... manage our Fraud, Payments & Operations Analytics team, working with partners across FanDuel to ... You'll lead a team of analysts whose work translates complex data - spanning fraud patterns and ...

... manage our Fraud, Payments & Operations Analytics team, working with partners across FanDuel to ... You'll lead a team of analysts whose work translates complex data - spanning fraud patterns and ...

Deals Diligence Analytics Manager

New York, NY ยท On-site

$99K - $232K/yr

Within our Deals practice, you will leverage your analytical skills to transform data into ... As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ...

Analyst-Data Analytics

Manhattan, NY ยท On-site

$78K - $124K/yr

Creating data segmentation & optimization strategies for targeting profitable prospects with the ... Collaborate with ML and Tech teams to manage, guide and build analytical solutions to improve ...

Media Operations Deliver campaign analysis to understand efficiency and effectiveness ofpaid ... We will process your personal data in accordance with our Recruitment Privacy Notice. Link to ...

Media Operations Deliver campaign analysis to understand efficiency and effectiveness of paid media ... We will process your personal data in accordance with our Recruitment Privacy Notice. Link to ...

Data Analytics Specialist

Manhattan, NY ยท On-site

$100K - $125K/yr

Work to consolidate and streamline data sources and reports. -Manage projects and aid Property ... Research and provide additional data and analysis. -Assist other business units with special ...

Showing results 41-60

Data Analytics Manager information

See Matawan, NJ salary details

$32K

$100.4K

$177.7K

How much do data analytics manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analytics manager in Matawan, NJ is $100,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,200.00 and $129,700.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Matawan, NJ?

The most popular types of Data Analytics jobs in Matawan, NJ are:

What are popular job titles related to Data Analytics Manager jobs in Matawan, NJ?

For Data Analytics Manager jobs in Matawan, NJ, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Matawan, NJ look for?

The top searched job categories for Data Analytics Manager jobs in Matawan, NJ are:

What cities near Matawan, NJ are hiring for Data Analytics Manager jobs?

Cities near Matawan, NJ with the most Data Analytics Manager job openings:

Infographic showing various Data Analytics Manager job openings in Matawan, NJ as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $100,371 per year, or $48.3 per hour.

Data Science & Analytics Manager

Clay Labs

New York, NY โ€ข On-site

$240K - $300K/yr

Full-time

Posted 17 days ago


Key responsibilities

  • Lead and develop the Data Science and Analytics team, including recruiting, onboarding, and setting standards for data work.

  • Ensure the team conducts experimentation, analysis, and metric design to generate insights that impact business decisions.

  • Partner with stakeholders to define and prioritize product and business strategies using data, and develop key measurement frameworks.


Job description

About Clay
Our mission is to help organizations turn any growth idea into reality.
We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We're already helping thousands of customers - including Anthropic, Notion, Google, and Ramp - go to market with unique data, signals, and AI research.
In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG, and First Round - and crossed $100M in revenue.
In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round, for our customers, agency partners, and club members.
Some things to know about us:
  • Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.
  • Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.
  • All employees can work for free with world-class coaches who specialize in creativity, management, and more.
  • Our operating principles - including negative maintenance and non-attached action - guide our work. Read more about them here.
  • Read about us in the NYT, Forbes, First Round Review, and more.

Hear from our employees directly on our Glassdoor page!
The Role
We're looking for a Data Science Manager to lead Clay's Data Science and Analytics team (DSA). DSA is a team of data scientists and analytics engineers that serves as the company's center of excellence for experimentation, metric design, insights, and data-driven decision-making across all areas of the business (Product, Marketing, Sales, Finance, and Partnerships). The manager of this team will be a key leader in setting product and business strategy: partnering with executives to meet ideas with numbers and set the internal narrative and focus using data.
The team has strong foundations and is at the forefront of AI for data: we've basically solved the self-serve analytics problem via our custom in-house AI agent "Monty." We're looking for a strong leader with strong data intuition, product and business acumen, and data storytelling skills who can multiply this team's strategic influence on one of the fastest-growing AI businesses.
What you'll do
Lead and grow the team. Manage and develop data scientists and analytics engineers. Recruit, interview, and onboard top talent as the team scales. Create shared standards for what great data work looks like, and coach the team to get there. Establish rituals that build team cohesion and support technical growth.
Set the technical bar. Hold high standards for experimentation, analysis, insights, metric design, and data modeling. Ensure that Clay remains at the forefront of the latest innovations in AI for data science and analytics.
Relentlessly focus on impact. Ensure the team is making the right tradeoffs. Keep the team focused on work that actually changes decisions and meaningfully impacts the business trajectory of Clay, and leave the rest.
Strategically partner and prioritize across the business. Own staffing across partner areas to ensure every key stakeholder has the support they need, while holding a high bar for impact and pushing back where needed. Ensure partners are making data-informed decisions, and that they have the tooling, insights, and partnership they need to do so.
Shape product and business strategy. Directly inform what we prioritize using data; opportunity size new potential areas for investment and proactively identify potential new directions through analysis and insights. Set the narrative internally using numbers.
Define our key measurement frameworks. Partner with stakeholders to define our business and product goals. Lead the development and championing of key metrics; ensure our most important metrics are properly instrumented and monitored. Create a data-obsessed organization.
Develop a deep understanding of and empathy for our users. Partner with UXR and customer feedback teams to create the most comprehensive understanding of what Clay users, buyers, and prospects want and need.
What we're looking for
2+ years managing data scientists and/or analytics engineers, and 6+ years overall in data science or analytics, with a track record of shipping work that has directly influenced product and business decisions
Strong technical depth in experimentation, analytics, statistics, data modeling, and metric design; can coach and set a high technical bar for senior ICs
Expertise in product or growth data science: an expert-level understanding of user funnels (acquisition, activation, engagement, retention) in B2B or B2C products
Skilled at stakeholder management: comfortable partnering with senior leaders across Product, GTM, and Finance, and pushing back when needed
Proven experience influencing product roadmaps via data and insights, and the proven ability to connect data work to business outcomes
Excellent data storytelling skills
An empathetic communicator who expresses nuanced ideas clearly for different audiences and prioritizes curiosity and partnership
Experience growing teams: hiring, coaching, and developing senior ICs
Excitement about AI-native ways of working
Nice to have
Experience with our stack: Snowflake, GitHub, dbt, Hex, Sigma, Dagster
Experience in product-led growth or B2B SaaS, especially usage-based pricing
Experience running embedded/hub-and-spoke data team models
Experience scaling a data team through rapid company growth
Experience working on AI products
Why Clay
Data is at the heart of what we do at Clay. We are building a self-learning revenue engine; we need data leadership to understand how that engine is operating internally and for our customers. We are building a team of strategic leaders and trusted truth-tellers: come lead it!