1

Analytics Implementation Engineer Jobs in Princeton, NJ

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

About the GTM Delivery Engineer Team As a member of the Go-To-Market Delivery Engineer team, you ... Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs ...

Define and implement monitoring and alerting policies for data solutions. REQUIREMENTS * 5+ years of experience in analytics engineering or data engineering Python and PySpark. * 5+ years of hands-on ...

Implementation Manager

New York, NY ยท On-site

$140K - $180K/yr

Maybern is founded by top engineering experts with deep knowledge of the fund management space ... You may also provide delivery leadership and mentorship to Analysts working on implementations ...

We work with all core analytics tools, such as PA (Portfolio Analysis), SPAR (our returns-based ... Study client workflows and partner with Product Development and Engineering to enhance FactSet ...

We work with all core analytics tools, such as PA (Portfolio Analysis), SPAR (our returns-based ... Study client workflows and partner with Product Development and Engineering to enhance FactSet ...

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 ...

... 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.

Senior Analytics Engineer - Data

New York, NY ยท Hybrid

$200K - $250K/yr

Senior Analytics Engineer - Data (StubHub, Inc., New York, NY) Design, implement, and enhance complex financial data models and analytical pipelines, applying advanced techniques and best practices ...

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 ...

Develop a comprehensive understanding of the technical aspects of the Analytics suite * Implement ... Study client workflows and partner with Product Development and Engineering to enhance FactSet ...

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 ...

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 Sep 14, 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.

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:

Delivery Engineer III (GTM)

New York, NY โ€ข On-site, Remote

Mixpanel
Software Developmentย โ€ขย 201 - 500 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Job description

About Mixpanel
Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what's working, diagnose what's not, and decide what to build next. Learn more at mixpanel.com.
About the Delivery Engineer Team
As a member of the Go-To-Market Delivery Engineer team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers' data stack, and deliver on emerging AI integrations - delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers.
About the Role
As a Delivery Engineer III, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you'll be the expert consultant on all things data and ecosystem. As Mixpanel and our customers continue to iterate on agentic integrations, you'll own ensuring customers are able to build, assemble context, and integrate AI workflows with Mixpanel.
Responsibilities
  • Own onboarding and data health for our strategic and high-value clients, including ongoing enhancements to their data quality and overall tech stack integration
  • Align with pre-sales teams and consult with prospects/clients to define business goals and metrics to guide data architecture and project outcomes
  • Engage with customers' engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust
  • Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices
  • Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects
  • Successfully execute on deliverables whilst balancing project timelines, scope creep, and unanticipated issues
  • Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects
  • Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients
  • Build AI automations to help customers manage their data at scale
  • Consult with customers on integrating their agentic workflows with Mixpanel data.

We're Looking For Someone Who Is:
  • Comfortable with data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
  • Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, etc.
  • Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.
  • Familiar with analytics best practices across business segments and verticals
  • Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change while managing scope and timelines
  • Has embedded AI into their workflows and is familiar with using MCP servers, building new skills, setting context, and can credibly consult with our customers about their AI/data strategy
  • Has experience in customer success, client-facing professional services, consulting, or technical project management role
  • Excellent written, analytical, and communication skills
  • Strong process and/or project delivery discipline
  • Eager to learn new technologies and adapt to evolving customer needs

#LI-Remote
Compensation
The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.
Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.
Mixpanel Compensation Range
$137,000-$185,000 USD
Benefits and Perks
  • Comprehensive Medical, Vision, and Dental Care
  • Mental Wellness Benefit
  • Generous Vacation Policy & Additional Company Holidays
  • Enhanced Parental Leave
  • Volunteer Time Off
  • Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

*please note that benefits and perks for contract positions will vary*
Culture Values
  • Make Bold Bets: We choose courageous action over comfortable progress.
  • Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.
  • One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.
  • Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.
  • Champion the Customer: We seek to deeply understand our customers' needs, ensuring their success is our north star.
  • Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel?
We're a leader in analytics with over 9,000 customers and $277M invested from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel's pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you'll be helping the world's most innovative companies learn from their data so they can make better decisions.
Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter-our people, our customers, our partners-out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We've immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.