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Analytics Implementation Engineer Jobs in Princeton, NJ

Will work with management, developers and operations staff on projects related to analytics services of digital media systems including identifying and implementing products and services for Web ...

About the Delivery Engineer Team As a member of the Delivery Engineer team, you will own the post ... Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs ...

Senior Analytics Engineer

New York, NY ยท On-site +1

$126K - $180K/yr

Design, architect and implement best-in-class data warehousing and reporting solutions * Design ... in analytics engineering, data engineering, or similar roles * Strong experience designing ...

Senior Analytics Engineer

New York, NY ยท On-site +1

$126K - $180K/yr

Design, architect and implement best-in-class data warehousing and reporting solutions * Design ... in analytics engineering, data engineering, or similar roles * Strong experience designing ...

The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: W ... Demonstrated ability to define metrics and resolve ambiguity across teams - not just implement ...

Analytics Engineer

New York, NY ยท On-site

$125K - $215K/yr

You'll work closely with engineers, product teams, and stakeholders to ensure data integrity ... Design and implement scalable data models optimized for analytics and company-wide reporting ...

Analytics Engineer

New York, NY ยท Remote

$125K - $215K/yr

You'll work closely with engineers, product teams, and stakeholders to ensure data integrity ... Design and implement scalable data models optimized for analytics and company-wide reporting ...

Analytics Engineer I

New York, NY ยท Hybrid

$106K - $140K/yr

Under the guidance of more senior Analytics Engineers, you'll build and maintain models, implement automated tests to ensure long-term data product health, and contribute to the semantic layer that ...

... analysts often miss and accelerating case resolution across jurisdictions. We're backed by top-tier ... Configure customer environments using internal tools and workflows developed by Engineering.

... and analytics that investors use to make crucial decisions. At FactSet, our values are the ... Partner with Product and Engineering teams to deliver client-specific enhancements. * Create ...

... and analytics that investors use to make crucial decisions. At FactSet, our values are the ... Partner with Product and Engineering teams to deliver client-specific enhancements. * Create ...

Showing results 21-40

Analytics Implementation Engineer information

See Princeton, NJ salary details

$28

$53

$84

How much do analytics implementation engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for analytics implementation engineer in Princeton, NJ is $53.89, according to ZipRecruiter salary data. Most workers in this role earn between $40.34 and $63.99 per hour, depending on experience, location, and employer.

What is an analytics implementation engineer?

An Analytics Implementation Engineer is a professional responsible for setting up, configuring, and maintaining digital analytics tools on websites and mobile applications. They work closely with stakeholders to understand business requirements, translate them into technical tracking specifications, and ensure accurate data collection for analysis. Their role often involves deploying tags, managing tag management systems, and troubleshooting data issues. This position requires a combination of technical skills, understanding of marketing analytics, and strong problem-solving abilities.

What are the key skills and qualifications needed to thrive as an analytics implementation engineer?

To thrive as an Analytics Implementation Engineer, you need strong expertise in web analytics, JavaScript, tag management systems, and a background in computer science or a related field. Familiarity with tools like Google Tag Manager, Adobe Analytics, and certifications in analytics platforms are often expected. Attention to detail, problem-solving, and effective communication with stakeholders set top performers apart. These skills are vital for accurately collecting, interpreting, and communicating data to drive business insights and optimize digital experiences.

What are some common challenges faced by analytics implementation engineers when integrating analytics tools across multiple platforms?

Analytics Implementation Engineers often encounter challenges such as ensuring data consistency and accuracy across various digital platforms, dealing with legacy systems that may not easily support modern analytics tools, and navigating frequent updates or changes in website or app architectures. Close collaboration with development, product, and marketing teams is critical to clarify tracking requirements and maintain reliable data flows. Addressing these challenges requires a strong understanding of both the technical aspects of analytics tools and the business needs driving data collection.

What is the difference between Analytics Implementation Engineer vs Data Analyst?

AspectAnalytics Implementation EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; certifications in analytics toolsBachelor's in Statistics, Math, or related field; often similar certifications
Work EnvironmentTechnical teams, project-based, focus on system setupBusiness units, reporting, data interpretation
Employer & Industry UsageTech companies, marketing agencies, e-commerceFinance, healthcare, retail, consulting

While both roles involve working with data, the Analytics Implementation Engineer primarily focuses on deploying and integrating analytics tools and systems, whereas the Data Analyst concentrates on analyzing data to generate insights. The roles often overlap in skills and certifications but differ in their core responsibilities and work environments.

Hadoop Developer

Techtriadteam.com

New York, NY โ€ข On-site

Contractor

Re-posted 26 days ago


Job description

Company Description
TechTriad Team -T3 is an end-to-end IT solutions and services company with vast experience acrossindustry sectors with a mission to help our clients transform their business and is a uniquelycustomer centric software development, project management and consulting services company.
Job Description
Senior Software Developer - Develops software working with Data Scientists and Architecture in support of IP Streaming Services Analytics.
Requires knowledge and development experience of existing and emerging Deep Learning, Machine Learning and Analytics software for Backend based Services with the ability to rapidly code and prototype systems in a demanding fast paced multimedia environment
Duties and Responsibilities:
  • Will work with management, developers and operations staff on projects related to analytics services of digital media systems including identifying and implementing products and services for Web based delivery.
  • Required both high and low-level responsibilities including coding for prototype and production systems.
  • Requires hands-on support for production systems and upgrades, which often occur outside normal business hours.

Technical Skills:
  • Must have 5+ years of experience with software development in support of big data algorithm implementation and analytics implementation / coding.
  • Must have 2+ years of demonstrated track record of rapid prototyping of system components as part of big data system architecture. Experience with Spark and big data programming and analytics languages. Familiarity with Spark and Scala essential.
  • Must have 2+ years development experience in organizing large data sets for analytics processing in SOLR, MongoDB, Cassandra, NewSQL or Spark RDD data stores.
  • Must have 2+ years practical experience on architecture and deployment of software components into cloud-based infrastructures, e.g. Amazon Web Services. Experience with cloud management services, caching, scale-out and use of cloud APIs essential.
  • Must have 2+ years of experience with REST or Web Services API development. Demonstrated competence in full life cycle management of REST or Web Service APIs including specification and system deployment. Familiarity with API authoring and frameworks tools preferred.
  • Must have experience in developing and supporting live 24x7 production and mission critical applications.
  • Experience with Social Media API level interactions. Familiarity with contemporary social media site access and social graph navigation considered a plus.
  • Experience in MS SQL development and architecture including Stored Procedures and Replication Methodologies. Postgress, Oracle (PL/SQL) and MySQL development a plus.
  • Familiarity with Intelli-J IDE considered a plus.
  • Previous Broadcast experience considered a plus.

Qualifications
Minimum Qualifications:
  • MS Computer Science/Electrical Engineering or equivalent, relevant experience.
  • 10+ yrs of Software Development and Architecture

Additional Information
All your information will be kept confidential according to EEO guidelines.