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Analytics Implementation Engineer Jobs in Princeton, NJ

The Implementation Engineer will help manage the day-to-day of all client implementations. They ... and analysis of investment research, and for internal knowledge management and digital ...

... be hiring an Implementation Engineer to join our team! We're a small, fast-moving group that ... data for analytics and product development. About us Recidiviz is creating safer, healthier ...

... analytics implementation, or technical account management. * Experience partnering with Product, Data, Science, and Engineering teams to resolve customer-impacting issues. * Hands-on experience with ...

The role involves extracting and analyzing data, developing automated workflows, and collaborating ... our implementation Engineer vision for large complex solutions Integrate customizations with ...

Implementation Manager-Customer Success Team * Customer Success • San Mateo Responsibilities ... Act as a liaison between our Product Management and Engineering teams * Collaborate with other ...

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 ...

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Analytics Implementation Engineer information

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$28

$53

$84

How much do analytics implementation engineer jobs pay per hour?

As of Jul 26, 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, and why are they important?

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 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.

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 are popular job titles related to Analytics Implementation Engineer jobs in Princeton, NJ? For Analytics Implementation Engineer jobs in Princeton, NJ, the most frequently searched job titles are:
What job categories do people searching Analytics Implementation Engineer jobs in Princeton, NJ look for? The top searched job categories for Analytics Implementation Engineer jobs in Princeton, NJ are:
Implementation Engineer

Implementation Engineer

BlueMatrix

New York, NY • On-site

Full-time

Medical, PTO

Posted 12 days ago


Job description

We are seeking a technically skilled, client-facing Implementation Engineer to join our post-sales delivery team. This role serves as the technical owner of implementation across a portfolio of clients, ensuring seamless configuration, integration, and onboarding of our enterprise solutions.

The Implementation Engineer will help manage the day-to-day of all client implementations. They will manage the scope, deliverables, and timeline for client implementations, and will be responsible for installing, configuring, and troubleshooting. They will also act as a trusted technical advisor during the implementation phase, providing expert guidance on API usage, platform configuration, and integration best practices. They must think tactically from client to client. During implementation and long thereafter, they will be expected to document, communicate, and be the expert on client setups, and details of the implementation.

This is a consultative and collaborative role requiring strong communication, technical fluency, and a solutions-driven mindset. While not embedded full-time with any single account, the Implementation Engineer will engage in projects as needed to scope, support, and guide technical implementation efforts. 

Key Responsibilities:

Technical Implementation & Integration

  • Setting up a new client on email infrastructure, including collaborating with various client teams (Security, Support, Engineering) and third parties.
  • Serve as the technical point of contact during client implementations, providing expertise on API usage, system configuration, and data integration.
  • Own the configuration and deployment of technical touchpoints between the client and our platform (e.g., authentication, data feeds, webhooks, entitlements, etc.).
  • Troubleshooting issues as needed related to CRM Sync, SSO, Network / Connectivity or email delivery.
  • Deliver best-practice recommendations and design scalable technical solutions aligned with client use cases.
  • Perform professional services (custom data reports) as needed.

Documentation & Enablement

  • Maintain and evolve API documentation, implementation guides, and technical onboarding materials. 
  • Create client-facing playbooks and checklists to support technical self-service and consistency across implementations. 
  • Identify gaps in documentation based on client feedback and continuously improve clarity and usability. 

Client Engagement & Support

  • Participate in post-sales handoff to assess technical complexity and advise on resource needs or configuration strategy. 
  • Troubleshoot technical challenges during onboarding and provide timely, client-friendly resolutions. 

Feedback & Continuous Improvement

  • Act as the voice of the client to internal teams by capturing recurring feedback and areas for improvement. 
  • Contribute to internal tools and processes that improve implementation velocity and repeatability. 
  • Track implementation milestones and help ensure technical go-lives are achieved on time and with high client satisfaction. 
Skills & Qualifications:
  • 3+ years in technical implementation, solutions engineering, or client-facing software delivery 
  • Strong proficiency with REST APIs, web technologies, and integration patterns 
  • Working knowledge of email concepts - SMTP, SPF, DNS, DKIM and DMARC
  • Ability to write scripts (e.g., Python, Bash) or SQL queries for configuration and testing 
  • Excellent verbal and written communication skills, especially in technical documentation 
  • Proven ability to manage multiple concurrent projects and deadlines 
  • Familiarity with enterprise software, SaaS platforms, and client onboarding processes 
  • Experience working in capital markets or an adjacent industry (nice to have)
About BlueMatrix 
BlueMatrix is the go-to solutions provider in the investment research industry. Our SaaS applications are used worldwide by some of the leading investment banks to create, distribute, and present research content. We pride ourselves on having long-lasting, collaborative relationships with our user base and a reputation for going above and beyond. 
 
WHAT WE DO
BlueMatrix develops one-of-a-kind web applications for the authoring, distribution, and analysis of investment research, and for internal knowledge management and digital communications. Our mission is to streamline the publishing process on a global scale.
 
WHY WORK WITH US
The BlueMatrix team is made up of ambitious and passionate people who have turned technology development and client service into an art. Many have dedicated the majority of their career to growing the BlueMatrix brand and helping shape the investment research marketplace. With locations in New York City, Durham, London, Edinburgh, and Timisoara, Romania, we collaborate across the globe for a unique perspective on the impact of technology in our industry.
 
You can also count on:
o  Competitive Compensation (based on experience)
o  Health Care Plan
o  Generous Vacation/Personal Days
o  Generous Referral Program
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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