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Digital Analytics Developer Jobs in Lyndhurst, NJ

Senior Analyst, Content Analytics

New York, NY · On-site

$96K - $127K/yr

We are the home of the global digital revolution. We are CNN. To see what it's like to work atCNN ... Working closely with Editorial, Audience Strategy, Product, Social, Programming, and Revenue teams ...

... digital analytics tools (Google Analytics, Tag Manager, Adobe). * Working knowledge of data infrastructure, programming languages (SQL, MYSQL, NO-SQL), and cloud storage solutions. * Competency in ...

This person does not need to be a media buyer or AI engineer but should understand those ... Work with paid media, creative and analytics partners to ensure campaigns are strategically sound ...

You hold a Master's degree in Statistics, Economics, Engineering, Finance, Mathematics, or a ... You've exposure in Online / Digital analytics & Text Mining. Here's what we can offer. Competitive ...

Showing results 41-60

Digital Analytics Developer information

See Lyndhurst, NJ salary details

$16

$48

$89

How much do digital analytics developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for digital analytics developer in Lyndhurst, NJ is $48.10, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $62.40 per hour, depending on experience, location, and employer.

What is a digital analytics developer?

A Digital Analytics Developer is a professional who implements, manages, and optimizes analytics solutions on digital platforms, such as websites and mobile apps. They work with tools like Google Analytics, Adobe Analytics, and tag management systems to collect and analyze user data. Their role involves creating and maintaining tracking codes, ensuring accurate data capture, and providing insights that support business decisions. Digital Analytics Developers often collaborate with marketing, design, and engineering teams to improve digital performance and user experience.

What are the key skills and qualifications needed to thrive as a digital analytics developer?

To thrive as a Digital Analytics Developer, you need a strong background in web development, JavaScript, data analysis, and a relevant degree in computer science, statistics, or a related field. Familiarity with tools like Google Analytics, Adobe Analytics, Tag Management Systems (e.g., Google Tag Manager), and data visualization platforms is crucial. Attention to detail, problem-solving abilities, and effective communication set high performers apart in this role. These skills and qualities are essential for ensuring accurate data collection, insightful analysis, and clear reporting that drive data-driven decision-making for organizations.

How does a digital analytics developer typically collaborate with marketing and IT teams?

Digital Analytics Developers often act as a bridge between marketing and IT teams, ensuring that web analytics tools are properly implemented and data is accurately captured across digital platforms. They work closely with marketers to understand campaign goals and reporting needs, translating those requirements into technical specifications. At the same time, they coordinate with IT or web development teams to integrate tracking codes, troubleshoot data discrepancies, and maintain data integrity. Strong communication skills and a collaborative mindset are essential, as this role frequently involves explaining technical concepts to non-technical stakeholders.

What is the difference between Digital Analytics Developer vs Data Analyst?

AspectDigital Analytics DeveloperData Analyst
Required CredentialsBachelor's in Computer Science, Analytics, or related field; knowledge of analytics tools and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentDevelops and implements analytics solutions, often within marketing or IT teamsAnalyzes data sets to generate insights, typically across various departments
Employer & Industry UsageUsed in digital marketing, e-commerce, and tech companies for tracking user behaviorCommon across finance, healthcare, and business sectors for decision support

While both roles involve working with data, a Digital Analytics Developer primarily focuses on creating and maintaining analytics tools and tracking systems, whereas a Data Analyst interprets data to provide actionable insights. The roles often overlap but serve different functions within data-driven organizations.

What job categories do people searching Digital Analytics Developer jobs in Lyndhurst, NJ look for?

The top searched job categories for Digital Analytics Developer jobs in Lyndhurst, NJ are:

What cities near Lyndhurst, NJ are hiring for Digital Analytics Developer jobs?

Cities near Lyndhurst, NJ with the most Digital Analytics Developer job openings:

VP, Data Scientist Lead, Digital Channels Analytics

JP Morgan Chase

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Posted 6 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

Job Summary:

As a Quant Analytics Manager on the Digital Analytics team you support an extensive portfolio of digital products by using data to provide recommendations that enhance the customer experience and build long term, profitable customer relationships. In this role, you will be the driver of the analytics book of work that is transforming Chase's cross-channel, cross-line of business strategy to a hyper-personalized, data-driven, customer centric model. 

In this role, you'll lead a high-impact analytics book of work focused on A/B experimentation and causal measurement-from defining the right OKRs, to designing tests, to translating results into clear recommendations that improve CSAT, engagement, and deepening. You'll partner closely with Product, Tech, Design, and Strategy to identify the most valuable customer and channel opportunities, build robust measurement plans, and elevate experimentation best practices across our digital platforms. We're also looking for someone excited to develop new AI-enabled analytics capabilities for channel stakeholders-leveraging modern approaches like LLMs, retrieval-augmented generation, and agentic workflows to speed insight generation, enable self-serve analysis, and improve decisioning.

Job Responsibilities:

  • Data Storytelling: Analyze and visualize digital customer behaviors to craft compelling narratives that drive insights and action.
  • OKR Management: Lead the creation, iteration, reporting, and causal analysis of OKRs to track and achieve strategic goals.
  • Data-Driven Decision Making: Foster data-informed decisions and experimentation by establishing strategic partnerships, promoting best practices, and ensuring clear communication.
  • Opportunity Identification: Develop OKRs and conduct deep-dive analyses to uncover opportunities for driving Digital CSAT, Engagement, and Deepening
  • Consultation: Serve as a subject matter expert in Digital data, providing consultation to the broader Data & Analytics organization.


Required qualifications, skills, and responsibilities: 

  • 7+ years of experience analyzing customer experiences, digital products/usage
  • Proven track record of problem-solving using data and building new analytics capabilities. Talent for translating numbers into an actionable story for business leaders
  • Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
  • Experience in querying big data platforms and SAS/SQL
  • Experience with digital analytics
  • Bachelor's degree is required (preferred in data science, mathematics, statistics, econometrics, engineering, or related fields).


Preferred qualifications, skills, and responsibilities:

  • Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks.
  • Experience with analytical tools such as Python, R, Alteryx, Tableau, and Adobe Analytics
  • Experience working with Big Data environments (i.e., Snowflake, AWS)
  • Experience with A/B testing 

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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