ZipRecruiter

Log In

1

Analytics Implementation Engineer Jobs in Princeton, NJ

FactSet

Implementation Specialist

New York, NY · On-site

... 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 ...

Pelago

Sr. Analytics Engineer

New York, NY · On-site

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 ...

Factset

Implementation Specialist

New York, NY · Hybrid

... 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 ...

NOUS RESEARCH

Product Analytics Engineer

New York, NY · On-site

Implement and maintain analytics instrumentation across desktop, mobile, web, CLI, backend services ... Partner with Product, Engineering, Design, and Support to translate data into prioritized product ...

Lindblad Expeditions

Analytics Engineer

New York, NY · Hybrid

$130K - $150K/yr

As an Analytics Engineer, you will play a crucial role in our organization, taking charge of ... Implement dbt tests, model documentation, and source freshness checks to ensure data quality and ...

Oscar Health

Analytics Engineer I

New York, NY · On-site

$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 ...

Oscar Health

Analytics Engineer I

New York, NY · 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 ...

Lindblad Expeditions

Analytics Engineer

New York, NY · On-site

... Implement dbt tests, model documentation, and source freshness checks to ensure data quality and ... as analytics engineer or in a similar role, demonstrating expertise in data design, data ...

Duetti

Analytics Engineer

New York, NY · On-site

$100K - $140K/yr

Role Overview We're looking for an Analytics Engineer to join as an early member of our Data Team ... Experience collaborating on or implementing LLM-powered internal tools or workflows (preferred but ...

Duetti

Analytics Engineer

New York, NY · On-site

$100K - $140K/yr

Role Overview We're looking for an Analytics Engineer to join as an early member of our Data Team ... Experience collaborating on or implementing LLM-powered internal tools or workflows (preferred but ...

Duetti

Analytics Engineer

New York, NY

$100K - $140K/yr

Role Overview We're looking for an Analytics Engineer to join as an early member of our Data Team ... Experience collaborating on or implementing LLM-powered internal tools or workflows (preferred but ...

Lindblad Expeditions

Analytics Engineer

New York, NY · Hybrid

As an Analytics Engineer, you will play a crucial role in our organization, taking charge of ... of truth Implement dbt tests, model documentation, and source freshness checks to ensure data ...

Current

Senior Analytics Engineer

New York, NY · On-site

$170K - $220K/yr

SENIOR ANALYTICS ENGINEER Current is a leading U.S. fintech serving people who have been overlooked ... Implement scalable and easy to use data models housing complex data sets * Support Looker as a ...

Current

Senior Analytics Engineer

New York, NY · On-site

$170K - $220K/yr

SENIOR ANALYTICS ENGINEER Current is a leading U.S. fintech serving people who have been overlooked ... Implement scalable and easy to use data models housing complex data sets * Support Looker as a ...

Clear Channel Outdoor

Analytics Engineer

New York, NY · On-site

$125K - $150K/yr

Implement testing frameworks, data validation processes, and documentation standards that ensure ... Minimum of two (2) years working as a Data Engineer, Analytics Engineer, or in a hybrid or ...

previous page

Showing results 41-60

All JobsAnalytics Implementation Engineer JobsAnalytics Implementation Engineer Jobs in Princeton, NJ

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 21, 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.

Analytics Implementation Engineer jobs near you

Quantitative Developer - Securitized Products

Clearwater Analytics

New York, NY • On-site, Remote

$156K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Quantitative Developer - Securitized Products

Clearwater Analytics | Location : NY

About Clearwater Analytics

Clearwater Analytics is the leading SaaS platform for investment accounting, risk, and performance. We serve some of the world's largest insurance companies, hedge funds, asset managers, and institutional investors. We deliver decision-ready risk analytics that bring clarity and insight to multi-asset portfolios-highlighting exposures, sensitivities, scenarios, and performance drivers.

The Role

As a Securitized Products Quantitative Developer, you will play a critical role within the Quant team, helping to enhance and expand our structured products coverage across ABS, CLO, MBS, CMBS, and related asset classes. You will work closely with cross-functional teams of developers and interact directly with clients to deliver solutions focused on valuation accuracy, risk analytics, and cash flow modeling. Your contributions will drive the continuous improvement of our platform's structured products capabilities - from model development through production deployment.

What You'll Do

  • Develop and maintain pricing libraries and analytical models for securitized products including ABS, CLO, MBS, CMBS, and other structured credit instruments

  • Build, extend, and maintain frameworks within the platform supporting securitized product lifecycle management, including cash flow generation, prepayment modeling, credit enhancement structures, and tranche-level analytics

  • Implement and maintain risk analytics covering interest rate sensitivities (DV01, duration, convexity), spread risk, scenario analysis, and stress testing across structured product portfolios

  • Design and develop models for prepayment, default, and loss severity - calibrated to market conventions and client-specific requirements

  • Identify and advocate for new models and design patterns necessary for the continuous improvement of an evolving infrastructure to support all clients

  • Produce high-quality documentation targeting both technical and non-technical audiences, supporting and expanding engineering solutions

What We're Looking For

  • 1-3 years of experience in quantitative development with a focus on securitized or structured products

  • Strong understanding of structured product mechanics - deal structures, waterfall logic, cash flow prioritization, credit enhancement, and tranche-level risk

  • Familiarity with prepayment models (e.g., PSA, CPR) and credit risk frameworks applicable to ABS, MBS, CMBS, and CLO structures

  • Experience developing production-quality code, preferably in Python, with a strong software engineering foundation

  • Strong problem-solving and communication skills - ability to convey technical topics clearly to both technical and non-technical audiences

What Will Make You Stand Out

  • Experience in a front office or structured products development role supporting valuation, risk analytics, or portfolio analytics for securitized products

  • Hands-on experience building or maintaining pricing and risk systems in a production environment

  • Familiarity with relevant market data sources (Bloomberg, Intex, Trepp, MSCI, or similar) and structured product reference data

  • Experience with interest rate modeling (e.g., Hull-White, short rate models) as it applies to structured product valuation

  • Prior experience working directly with clients to customize platforms, integrate models, or develop technical solutions

What We Offer

  • Business casual atmosphere in a flexible working environment

  • Team-focused culture that promotes innovation and ownership

  • Access to cutting-edge investment reporting technology and expertise

  • Defined and undefined career pathways allowing you to grow your own way

  • Competitive medical, dental, vision, and life insurance benefits

  • Maternity and paternity leave

  • Personal Time Off and Volunteer Time Off to give back to the community

  • RSUs as well as employee stock purchase plan and 401K with match

  • Work from anywhere 3 weeks out of the year

  • Work from home Fridays

Salary Range

156,400.00 - 210,841.00 USD Annual

This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Salary Range

$156,400.00 - $210,841.00

This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Apply