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Lead Data Analytics Engineer Jobs in Edison, NJ (NOW HIRING)

Data Direct Networks

Senior Analytics Engineer

New York, NY · On-site

$114K - $157K/yr

We're looking for a Senior Analytics Engineer to own the transformation and modeling layer of DDN ... You'll turn raw data from Salesforce, Workday, product systems, and other sources into trusted ...

Logicbroker, Inc.

Lead Data Engineer

New York, NY · On-site

$112K - $147K/yr

Job Summary We are hiring a Lead Data Engineer to drive delivery across our analytics and data platform initiatives. This role is a hands-on technical lead responsible for translating well-defined ...

Capital One

Lead Data Engineer

New York, NY

$125K - $150K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Capital One

Lead Data Engineer

New York, NY

$125K - $150K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

JPMorgan Chase & Co.

Lead Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of ... Delivers data collection, storage, access, and analytics data platform solutions in a secure ...

Capital One

Lead Data Engineer

New York, NY · On-site

$125K - $150K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Fora

Senior Analytics Engineer

New York, NY

$130 - $185K/hr

About The Role Fora is hiring its first Senior Analytics Engineer to help scale how data is modeled ... As our centralized data team grows, we're looking for a dedicated owner of the analytics ...

Overture Partners

Lead Data Analyst

Edison, NJ · On-site

$60 - $70/hr

Job Overview An organization is seeking a Senior Data Analyst to lead end-to-end data warehouse initiatives within a complex, enterprise data environment. This role is critical in driving data ...

Harvey

Senior Analytics Engineer, Finance

New York, NY · On-site

$155K - $235K/yr

As an Analytics Engineer on our team, you'll help evolve our data stack, champion best practices in ... Lead data governance initiatives, ensuring high standards of data quality, consistency ...

Duetti

Analytics Engineer

New York, NY · On-site

$100K - $140K/yr

Because data fuels everything we do, the Data Team works horizontally across the entire company ... in analytics engineering or data analytics roles within high-growth environments * Strong SQL ...

Duetti

Analytics Engineer

New York, NY · On-site

$100K - $140K/yr

Because data fuels everything we do, the Data Team works horizontally across the entire company ... in analytics engineering or data analytics roles within high-growth environments * Strong SQL ...

Capital One

Lead Data Engineer

New York, NY · On-site

$112K - $147K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Duetti

Analytics Engineer

New York, NY

$100K - $140K/yr

Because data fuels everything we do, the Data Team works horizontally across the entire company ... in analytics engineering or data analytics roles within high-growth environments * Strong SQL ...

Capital One

Lead Data Engineer

New York, NY · On-site

$125K - $150K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

WeWork

Analytics Engineer

New York, NY · On-site

$90K - $120K/yr

About the Opportunity We are looking for a Senior Lead, Data & Analytics to join our Central Data ... Data Analyst, Data Scientist, Data Engineer, Consultant) * Highly skilled at writing and ...

Current

Director, Data Analytics

New York, NY · On-site

Lead the analytics function across the organization, ensuring consistency in methodologies ... Collaborate closely with peers across the engineering, analytics engineering, and data science ...

JPMorgan Chase & Co.

Lead Data Engineer

Jersey City, NJ · On-site

$147K - $190K/yr

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of ... Delivers data collection, storage, access, and analytics data platform solutions in a secure ...

J.P. Morgan

Lead Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of ... Delivers data collection, storage, access, and analytics data platform solutions in a secure ...

JP Morgan Chase

Lead Data Engineer

Jersey City, NJ

$125K - $150K/yr

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of ... Delivers data collection, storage, access, and analytics data platform solutions in a secure ...

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Showing results 41-60

All JobsLead Data Analytics Engineer JobsLead Data Analytics Engineer Jobs in Edison, NJ

Lead Data Analytics Engineer information

See Edison, NJ salary details

$44K

$128.1K

$186.9K

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

As of Sep 14, 2026, the average yearly pay for lead data analytics engineer in Edison, NJ is $128,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $139,800.00 per year, depending on experience, location, and employer.

What does a Lead Data Analytics Engineer do?

A Lead Data Analytics Engineer oversees the design, development, and maintenance of data analytics systems within an organization. They lead teams to build data pipelines, optimize data workflows, and ensure data quality and accessibility for business insights. Their role often involves collaborating with data scientists, analysts, and stakeholders to translate business requirements into technical solutions. Additionally, they are responsible for setting best practices, mentoring team members, and staying updated with emerging technologies in data engineering.

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

To thrive as a Lead Data Analytics Engineer, you need advanced expertise in data modeling, statistical analysis, and programming, typically supported by a degree in computer science, statistics, or a related field. Mastery of tools such as SQL, Python, R, cloud platforms (like AWS or Azure), and data visualization software, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is highly valued. Strong leadership, problem-solving, and communication skills help you guide teams and translate complex data insights to stakeholders. These competencies are essential for delivering impactful analytics solutions and driving data-driven decision-making within organizations.

How does a Lead Data Analytics Engineer typically collaborate with cross-functional teams?

A Lead Data Analytics Engineer frequently partners with data scientists, business analysts, and software engineers to design and implement scalable analytics solutions. They often act as a bridge between technical teams and business stakeholders, translating business requirements into actionable data models and pipelines. Effective communication and project management skills are crucial in ensuring alignment on goals, timelines, and deliverables. Regular meetings and agile workflows are common, fostering a collaborative environment that supports innovation and timely project delivery.

What is the difference between Lead Data Analytics Engineer vs Data Scientist?

AspectLead Data Analytics EngineerData Scientist
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; certifications like AWS, Azure, or Google CloudBachelor's or Master's in Data Science, Statistics, or related fields; similar certifications
Work EnvironmentFocus on data infrastructure, pipelines, and analytics tools; often in engineering teamsFocus on statistical modeling, machine learning, and data interpretation; often in research or analytics teams
Employer & Industry UsageUsed in tech, finance, healthcare for building data systems and analytics platformsUsed across industries for predictive modeling, research, and insights generation

The main difference is that Lead Data Analytics Engineers primarily focus on building and maintaining data infrastructure and analytics pipelines, while Data Scientists concentrate on analyzing data, creating models, and deriving insights. Both roles require strong technical skills and often overlap, but their core responsibilities differ in scope and focus.

Infographic showing various Lead Data Analytics Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 70% In-person, 3% Hybrid, and 27% Remote job distribution, with an average salary of $128,148 per year, or $61.6 per hour.

Analytics Engineer

New York, NY • On-site

Clear Channel Outdoor Holdings, Inc.
Advertising and Public Relations Services • 5 - 10K employees
Learn more about Clear Channel Outdoor Holdings, Inc.external

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Clear Channel Outdoor rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

Current employees and contingent workers click here to apply and search by the Job Posting Title.
Clear Channel Outdoor
Job Summary:
Clear Channel Outdoor (CCO) has developed an industry-leading platform (RADAR) that provides data-driven audience insights and measurement for out-of-home (OOH) campaigns. We are looking for a detail-oriented and business-minded Analytics Engineer to join the RADAR Data Products team. In this role, you will sit at the intersection of data engineering and business intelligence, building the models, pipelines, and dashboards that power strategic decisions across the organization. You will partner closely with cross-functional teams spanning Product, Engineering, and Sales to transform raw data into reliable, decision-ready insights - with a keen eye for transforming and automating process along the way.
Job Responsibilities
  • Develop and maintain knowledge of the media landscape (particularly OOH), advertising trends, and RADAR Data Platform capabilities to better contextualize RADAR's datasets and analytics outputs.
  • Own the end-to-end delivery of technical RADAR programs - including data maintenance, schema designs, and reporting assets - ensuring they are delivered in a timely fashion and meet quality standards.
  • Engage with cross-functional product, engineering, marketing, and sales teams to define analytics requirements, KPIs, and metrics that support key business and product decisions.
  • Write, optimize, and maintain scalable SQL queries and data models that serve as the foundation for reporting, dashboards, and downstream analytics.
  • Build and maintain modular, reusable data pipelines and transformations using modern ELT/ETL frameworks, delivering clean, analytics-ready datasets across teams.
  • Own the development and maintenance of BI dashboards and self-serve analytics tools, translating business requirements into reliable, production-grade reporting assets.
  • Implement testing frameworks, data validation processes, and documentation standards that ensure accuracy and trustworthiness across RADAR data products.
  • Automate and optimize recurring data workflows, reducing manual effort and improving consistency and scalability across the data platform.
  • Collaborate with Data Engineering teams to troubleshoot pipeline issues, align on data architecture, and contribute to long-term investments in the RADAR data platform.
  • Communicate technical work, findings, and data limitations clearly to both technical and non-technical stakeholders, enabling confident, data-informed decision-making.

Job Qualifications
Education
  • Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, related field, equivalent professional experience or military experience.

Work Experience
  • Minimum of two (2) years working as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers.
  • Strong proficiency working in SQL to create scalable and efficient queries that can used to deliver business insights at scale
  • Proficiency in Python, R, or similar programming languages for data analysis and statistical modeling
  • Proficiency working with a modern BI reporting tool such as Looker, Mode, or Tableau
  • Familiarity with infrastructure components, ETL processes, and reporting/analytic tools and environments.

Skills
  • Understanding of the principles of ad measurement, identity resolution, location data and other adtech/martech datasets.
  • Strong ability to manage and execute fast-paced, dynamic projects with a high degree of organization and independence.
  • Ability to perform rigorous data analysis when needed to support high-impact business and product decisions.
  • Effective communication skills for presenting analysis results to stakeholders, fostering collaboration, and influencing decision-making across teams.
  • Knowledge of Cloud database tools such as AWS, GCP, Azure
  • Strong communication skills for both technical and non-technical stakeholders of data

Competencies
  • Analytical Thinking & Problem Solving: Ability to break down complex business questions into structured data problems, applying statistical reasoning and sound analytical judgment to surface meaningful insights.
  • Technical Proficiency: Strong command of SQL, data modeling principles, and BI tooling, with the ability to write clean, efficient, and well-documented code that scales across the organization.
  • Data Storytelling & Communication: Skill in translating technical findings into clear, compelling narratives for both technical and non-technical audiences, driving understanding and action at all levels.
  • Cross-Functional Collaboration: Demonstrated ability to work effectively across Product, Engineering, Sales, and Marketing teams - gathering requirements, aligning on definitions, and delivering solutions that meet diverse stakeholder needs.
  • Attention to Detail & Data Integrity: A disciplined approach to data quality, testing, and documentation that ensures accuracy and trust in the outputs this role produces.

Physical Demands
The demands described below are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Ability to sit and/or stand at a desk for a minimum of 8 hours a day and complete tasks requiring repetitive use of hands;
  • Must have the ability to see written documents, computer screens and to adjust focus;
  • This job is performed in a temperature-controlled office environment.

Other Requirements
5-10% of time will be traveling to client meetings and industry events
The Targeted Compensation Range for this New York position is:
Min: $84,000
Max: $105,000
Bonus eligible, subject to the terms and conditions of the applicable incentive plan.
Comprehensive Benefits package offerings, which includes:
• Multiple Medical, Dental, and Vision Plans to choose from
• Health Care Spending Accounts (HSA and FSA Options)
• Medicare Assistance
• Dependent Care Flexible Spending Account
• Optional Short Term and Long Term Disability Plans
• Company Paid Employee Life and AD&D Insurance
• Supplemental Life and AD&D Insurance (Employee/Spouse/Child)
• Voluntary Benefits: Critical Illness, Accident, Identity Theft Protection, Legal Assistance, and Pet Insurance
• Pre-Tax Commuter Spending Account
• Employee Assistance Program (EAP)
• 401(k) Savings Plan with company match
• Paid Time Off (Accrued Vacation and Sick Plans)
• Free Digital Gym Membership and Discounted Memberships
• Professional Development Opportunities
• Employee Resource Groups
Ultimate compensation will be based on several factors, including relevant experience, skills, scope and responsibility of the position, as well as pursuant to salary market benchmarks. This salary range is a good-faith estimate of the salary for this position.
EEOC statement
As an equal opportunity workplace, we believe that being your authentic self enables us to deliver innovative advertising solutions while enhancing our communities. Our goal is to foster an inclusive environment where we celebrate you as you are, and value your growth and passion.
Location
New York, NY: 200 Park Avenue, Suite 701, 10166
Position Type
Regular
The Company is an equal opportunity employer and will not tolerate discrimination in employment on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, disability, ethnicity, national origin, marital status, protected veteran status, genetic information, or any other legally protected classification or status.
Our organization participates in E-Verify. Click here to learn about E-Verify.
Current employees and contingent workers click here to apply and search by the Job Posting Title.

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