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Remote Analytics Jobs in Vermont (NOW HIRING)

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Work cross-functionally with commercial, analytics, operations, and product teams to execute ...

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Showing results 1-20

Remote Analytics information

See Vermont salary details

$64.3K

$131.7K

$186.1K

How much do remote analytics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote analytics in Vermont is $131,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $163,200.00 per year, depending on experience, location, and employer.

How do remote analytics professionals typically collaborate with cross-functional teams while working off-site?

Remote analytics professionals frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings, shared dashboards, and collaborative project management tools. Effective communication and documentation are key to ensuring clear understanding of analytical findings and project goals. Many organizations use cloud-based platforms that allow real-time data sharing and feedback, enabling remote analytics teams to stay integrated with on-site colleagues and decision-makers. Regular check-ins and clear reporting structures also help maintain strong connections and accountability.

What is a remote analytics professional?

A Remote Analytics job involves analyzing data and generating insights for an organization while working from a location outside of the traditional office, such as your home or another remote setting. Professionals in this field use statistical tools, data visualization, and reporting software to help companies make data-driven decisions. Their responsibilities can include gathering data, performing analyses, creating dashboards, and presenting findings to stakeholders—all accomplished through digital collaboration tools. This role is ideal for individuals who are comfortable working independently and have strong analytical and technical skills.

What are the key skills and qualifications needed to thrive as a remote analytics professional, and why are they important?

A Remote Analytics professional needs strong analytical skills, proficiency in data interpretation, and usually a background in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is typically required, along with experience in cloud-based analytics environments. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for collaborating across remote teams and presenting insights effectively. These skills and qualities enable professionals to extract actionable insights from data, drive decision-making, and succeed in a remote work setting.

What is the difference between Remote Analytics vs Remote Data Analyst?

AspectRemote AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Analytics, Data Science, or related fields; often certifications in analytics toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentPrimarily uses analytics platforms, programming languages, and visualization tools remotelyFocuses on data interpretation, reporting, and visualization remotely
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for strategic insightsCommon in finance, healthcare, and marketing sectors for data reporting

Remote Analytics and Remote Data Analyst roles share overlapping skills and work environments, but Remote Analytics often involves more advanced data modeling and strategic insights, while Remote Data Analysts focus on data interpretation and reporting. Both roles are vital in data-driven industries and frequently searched together by job seekers.

What are the most commonly searched types of Analytics jobs in Vermont? The most popular types of Analytics jobs in Vermont are:
What job categories do people searching Remote Analytics jobs in Vermont look for? The top searched job categories for Remote Analytics jobs in Vermont are:
What cities in Vermont are hiring for Remote Analytics jobs? Cities in Vermont with the most Remote Analytics job openings:
Infographic showing various Remote Analytics job openings in Vermont as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $131,682 per year, or $63.3 per hour.

Compensation Analyst (Teradyne, US Remote / North Reading, MA)

Teradyne

Waitsfield, VT • Remote

$94K - $151K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Our Purpose

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.

We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team, one that makes better decisions, drives innovation and delivers better business results.

Opportunity Overview

** Open to US Remote **

We are seeking a Compensation Analyst to support the design, administration, analysis, and continuous improvement of Teradyne's global compensation programs. This role will partner across HR and the business to deliver compensation insights, market analysis, and data-driven recommendations that support organizational objectives.

In this role, you will combine compensation expertise, advanced analytics, automation, and business consultation to help improve the effectiveness, accuracy, and scalability of compensation processes.

  • Conduct market pricing analyses using compensation survey data, including Radford, Mercer, Comptryx, and other market intelligence sources.
  • Analyze salary structures, pay equity, geographic differentials, and overall compensation competitiveness.
  • Support annual compensation programs, including merit planning, promotions, bonus administration, equity programs, and salary structure development.
  • Support job evaluation, market alignment, job architecture, and leveling initiatives.
  • Develop dashboards, reports, models, and decision-support tools that provide actionable workforce and compensation insights.
  • Partner with HR Business Partners and business leaders on global compensation matters, including offers, promotions, retention cases, internal equity concerns, organizational changes, and market competitiveness.
  • Leverage advanced Excel, automation solutions, and AI-enabled tools to streamline compensation processes, reporting, survey matching, job evaluation, and documentation.
  • Ensure compensation data integrity through strong governance, validation, audit, and confidentiality practices.
  • Serve as a trusted advisor by translating complex compensation analyses into clear and actionable guidance.
  • Evaluate complex compensation situations and exercise independent judgment to develop practical, data-driven recommendations aligned with company compensation philosophy, external competitiveness, and business objectives.
  • Communicate compensation concepts and confidently present and defend recommendations with HR and business leaders, including in high-visibility situations.

All About You

The ideal candidate is intellectually curious, highly analytical, and motivated by continuous learning and professional growth. They thrive in a fast-paced environment, exercise sound judgment, and consistently deliver high-quality results while managing competing priorities and deadlines.

  • Bachelor's degree in Human Resources, Business, Finance, Economics, or a related field.
  • Minimum of 6 years of progressive compensation experience.
  • Experience supporting global compensation programs.
  • Strong understanding of compensation principles, market pricing methodologies, salary structures, and compensation program administration.
  • Advanced Microsoft Excel proficiency, including complex formulas, data analysis, modeling, reporting, and automation.
  • Ability to analyze large, complex datasets and translate business questions into actionable insights and recommendations.
  • Experience building dashboards, analytical models, reports, and decision-support tools that drive business decisions.
  • Strong written, verbal, and presentation skills, with the ability to communicate complex compensation concepts to technical and non-technical audiences.
  • Proven ability to build credibility and partner effectively with HR Business Partners, Field HR, and managers.
  • Strong judgment, attention to detail, accountability, and ability to manage multiple priorities and deadlines.
  • Continuous improvement mindset with interest in automation, AI-enabled technologies, process improvement, and emerging tools.
  • Preferred: Certified Compensation Professional certification or progress toward certification.
  • Preferred: Experience with SAP SuccessFactors or similar HRIS platforms.
  • Preferred: Experience supporting job architecture and leveling frameworks.
  • Preferred: Knowledge of pay transparency, pay equity, and related regulatory requirements.
  • Preferred: Experience using AI tools and automation solutions to improve business processes.

We are only considering candidates local to position location and are unable to provide relocation for this position.

 

This position is not eligible for sponsorship.

Compensation: The base salary range for this role is $94,400-151,000. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range may vary based on experience, skills, qualifications.

Incentive Plan: This job is eligible for discretionary bonus(es) based on financial performance.

Benefits: Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more. Please click here to see details.

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