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Remote Analytics Engineer Jobs in Matawan, NJ (NOW HIRING)

Northern Base

Nextthink Engineer (Remote)

Newark, NJ · Remote

$100K - $120K/yr

NextThink Engineer Location: Newark, NJ (On-site) Experience: 6-8 Years Employment Type: Full-Time ... Create dashboards, campaigns, investigations, and analytics. * Develop and manage Remote Actions ...

Moody's Analytics

Senior DevOps Engineer (Remote)

New York, NY · Remote

$142K - $182K/yr

... MLOps Engineer @ Moody's [IMMEDIATE FILL]Do you have a healthy disregard for the status quo? Does ... ABOUT MOODY'S ANALYTICS MACHINE LEARNING TEAM We are a team that creates and delivers machine ...

Pfizer

Medical Analytics Data Engineer

New York, NY · On-site +1

$124K - $207K/yr

Lead the evaluation, implementation and deployment of emerging tools and analytic data engineering ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...

New

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a ... Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well ...

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Showing results 21-40

All JobsAnalytics Engineer JobsRemote Analytics Engineer JobsRemote Analytics Engineer Jobs in Matawan, NJ

Remote Analytics Engineer information

See Matawan, NJ salary details

$47K

$96.3K

$140K

How much do remote analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote analytics engineer in Matawan, NJ is $96,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $121,900.00 per year, depending on experience, location, and employer.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

Can you work remotely in data analytics?

Remote analytics engineers can work from anywhere with a reliable internet connection, as many data analysis tasks involve using cloud-based tools and programming languages like Python or SQL. Employers increasingly offer remote positions, especially for roles that focus on data modeling, visualization, and reporting, often requiring strong communication skills and familiarity with collaboration platforms.
What job categories do people searching Remote Analytics Engineer jobs in Matawan, NJ look for? The top searched job categories for Remote Analytics Engineer jobs in Matawan, NJ are:
What cities near Matawan, NJ are hiring for Remote Analytics Engineer jobs? Cities near Matawan, NJ with the most Remote Analytics Engineer job openings:
Remote Analytics Engineer jobs near you
Infographic showing various Remote Analytics Engineer job openings in Matawan, NJ as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 9% Part Time, and 7% Contract. Highlights an 51% Physical, 3% Hybrid, and 46% Remote job distribution, with an average salary of $96,274 per year, or $46.3 per hour.

Director, Revenue Analytics & AI Innovation

Spring Health

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Spring Health rating

7.4

Company rating: 7.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Our mission: eliminating every barrier to mental health.
Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.
Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.
As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.
Reporting to the VP, Revenue Operations and partnering closely with our Systems and Strategy & Operations teams, the Director, Revenue Analytics & AI Transformation will serve as the semantic layer of our AI-native RevOps organization. This role will be responsible for building the unified data models and AI transformation strategy that power decisions from individual contributors to the executive team. This is a full-time, fully remote role leading a small, highly technical team as a hands-on player-coach. NYC is preferred for this role, but we are open to considering remote candidates. Travel is limited, with occasional trips (approximately quarterly) for team and company offsites.
What you'll do:
  • Architect and own the unified semantic and data layer that underpins Revenue Operations - the single source of truth connecting Sales, Marketing, Customer Success, and Finance data.
  • Define and drive the AI transformation strategy for Revenue Operations, identifying where AI and automation can meaningfully improve GTM efficiency, forecasting, and decision-making.
  • Build and lead a small, highly technical team of data/analytics engineers, operating as a true player-coach who still writes code and ships models personally.
  • Design and maintain core data models, pipelines, and analytics products that deliver actionable insight across the revenue organization - from individual contributors to executives.
  • Partner closely with the Systems and Strategy & Operations teams to ensure data architecture, tooling, and process are tightly aligned across RevOps.
  • Evaluate, pilot, and deploy AI tools and vendors, staying ahead of the fast-moving AI landscape and translating emerging capabilities into practical, high-value use cases.
  • Establish data governance, quality standards, and documentation practices that scale as the organization grows.
  • Build executive-ready dashboards and analyses that inform revenue strategy and company-wide reporting.
  • Champion a "build fast, iterate faster" culture - rapidly prototyping and deploying solutions rather than waiting for a long, perfect build cycle.
  • Serve as a thought partner to Revenue leadership on how AI and modern data infrastructure can reshape the future of go-to-market operations.

What success looks like:
  • Reduction in time-to-insight for revenue questions, measured by cycle time from request to delivered analysis.
  • Adoption of unified data models and dashboards across Sales, Marketing, and Customer Success teams.
  • Number of AI-driven use cases successfully piloted and deployed into production each quarter.
  • Improved forecast accuracy and reporting consistency across the revenue funnel.
  • Percentage of core revenue reporting migrated off manual/spreadsheet-based processes onto the unified data layer.

What you'll bring:
  • 10+ years of experience in data engineering, analytics engineering, or revenue/GTM analytics, including experience leading or building technical teams.
  • Deep hands-on expertise in data engineering and analytics engineering (e.g., SQL, dbt, modern data warehousing, ETL/ELT pipelines).
  • Proven experience designing and owning semantic and data models that serve multiple stakeholders, from analytics and BI to AI use cases.
  • Demonstrated experience leading AI adoption or AI-enabled transformation within a GTM or Revenue organization.
  • Strong, current knowledge of the AI vendor, tooling, and trends landscape, with the judgment to separate hype from real value.
  • A track record as a "player-coach" - someone who has built and led a small team while remaining deeply hands-on.
  • Experience partnering closely with Revenue/GTM systems and strategy & operations functions.
  • Excellent communication skills, with the ability to translate technical work into business impact for individual contributors and executives alike.
  • A scrappy, fast-moving builder mentality - comfortable shipping v1 solutions quickly and iterating.

Nice to have:
  • Experience with B2B2C customers
  • Experience in a high-growth SaaS or healthtech environment.
  • Familiarity with modern AI/ML tooling (LLM-based agents, copilots, automation platforms) applied to go-to-market use cases.
  • Hands-on experience with tools such as Salesforce, Clay, Snowflake or BigQuery, dbt, Looker or Tableau, and Python
  • Prior experience at a company undergoing significant data infrastructure modernization.

The target base salary range for this position is $196,000 - $247,940 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Databaseat minimum to ensure competitive and fair pay.
Benefits provided by Spring Health:
Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.
  • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medicalaccounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
  • Employer sponsored 401(k) match of up to 2% for retirement planning
  • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
  • We offer competitive paid time off policies including vacation, sick leave and company holidays.
  • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
  • Access to Noom, a weight management program-based in psychology, that's tailored to your unique needs and goals.
  • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
  • Access toWellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
  • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
  • Up to $1,000 Professional Development Reimbursement a year.
  • $200 per year donation matching to support your favorite causes.

Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.
Our privacy policy: https://springhealth.com/privacy-policy/
Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

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