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Remote Data Analyst Jobs in Conway, NH (NOW HIRING)

Provide actionable recommendations using data. Revenue Intelligence Analyze: * Pipeline trends ... Experience working in remote global teams. Preferred Qualifications * Cybersecurity industry ...

Remote, UK or Europe About the role: We are looking for an Employee Relations Specialist to join ... Monitor and analyse employee relations trends and case data to identify opportunities for ...

Remote, UK or Europe About the role: We are looking for an Employee Relations Specialist to join ... Monitor and analyse employee relations trends and case data to identify opportunities for ...

Remote Data Analyst information

See Conway, NH salary details

$33.4K

$81.2K

$133.6K

How much do remote data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote data analyst in Conway, NH is $81,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $95,300.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What cities near Conway, NH are hiring for Remote Data Analyst jobs? Cities near Conway, NH with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Conway, NH as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $81,153 per year, or $39 per hour.

Revenue Operations Manager

SOCRadar

Poland, ME • Remote

Full-time

Re-posted 22 hours ago


Job description

Build a Great Career with SOCRadar:

SOCRadar is poised for continued success with a relentless focus on innovation, global expansion, and feature-rich multifunctionality. Our mission is to empower organizations to stay ahead of evolving cyber threats.

Enterprises around the world are increasingly selecting SOCRadar to achieve proactive security by understanding their attack surface and gaining automation-enabled visibility into surface, deep, and dark web.

SOCRadar users leverage our expertise and investment in scalable, innovative Extended Threat Intelligence (XTI) solutions to protect their most valuable assets: brand reputation, employees, customers, and overall business operations.

If you're passionate about building scalable revenue processes, driving operational excellence, and enabling high-performing Sales, Customer Success, Marketing, and Partner teams, we'd love to hear from you.

About the Role:

SOCRadar is seeking a highly analytical and execution-focused Revenue Operations Manager to build and scale our global Revenue Operations function.

This role is ideal for someone who enjoys solving complex operational challenges, designing scalable Go-To-Market (GTM) processes, and partnering closely with executive leadership to drive predictable revenue growth.

You'll work across Sales, SDR, Customer Success, Marketing, Channel, Finance, and Executive Leadership to ensure our revenue engine operates efficiently and is built for scale.

We're looking for someone who thrives in a fast-paced startup environment, enjoys wearing multiple hats, takes ownership, and continuously seeks opportunities to improve processes.

What You'll Do

Revenue Strategy & Planning

  • Develop and execute SOCRadar's Revenue Operations strategy.
  • Partner with executive leadership on GTM planning.
  • Drive predictable revenue growth through operational excellence.
  • Improve revenue forecasting and pipeline visibility.
  • Support annual and quarterly business planning.

Sales Operations

  • Optimize the end-to-end sales process.
  • Territory planning and account assignments.
  • Lead routing and automation.
  • Opportunity lifecycle management.
  • Forecasting methodology.
  • Pipeline inspection.
  • Deal approval workflows.
  • Commission calculation support.

Customer Success Operations

Partner closely with Customer Success by improving:

  • Customer onboarding workflows.
  • Renewal management.
  • Expansion opportunities.
  • Customer health scoring.
  • Churn prediction.
  • Customer lifecycle reporting.

Marketing Operations

Collaborate with Marketing to optimize:

  • Lead scoring
  • Lead routing
  • Attribution reporting
  • Campaign performance
  • Funnel conversion
  • MQL to SQL conversion

CRM Ownership

Own and continuously improve Salesforce CRM. Responsibilities include:

  • CRM governance.
  • Data quality.
  • Automation.
  • Workflow optimization.
  • Dashboard creation.
  • User adoption.
  • Security and permissions.

Forecasting & Analytics

Build executive dashboards covering:

  • Pipeline Health.
  • Win Rate.
  • Sales Velocity.
  • Forecast Accuracy.
  • Customer Retention.
  • Renewal Performance.
  • SDR Productivity.
  • Revenue Growth.
  • Sales Cycle Length.
  • Funnel Conversion.
  • ARR / MRR Reporting.

Provide actionable recommendations using data.

Revenue Intelligence

Analyze:

  • Pipeline trends
  • Territory performance
  • Sales productivity
  • Customer expansion
  • Churn risks
  • Capacity planning
  • Quota attainment.

Present insights directly to executive leadership.

Technology Stack

Manage and optimize tools including:

  • Salesforce.
  • HubSpot.
  • Gong.
  • ZoomInfo.
  • LinkedIn Sales Navigator.
  • BI Platforms.

Evaluate and implement new GTM technologies.

Cross Functional Leadership

Partner closely with:

  • Sales Leadership.
  • SDR Managers.
  • Customer Success.
  • Finance.
  • Marketing.
  • Product.
  • HR.
  • Executive Leadership.

Ensure all teams operate using aligned KPIs and standardized processes

Required Qualifications

  • 5+ years of Revenue Operations, Sales Operations, or GTM Operations experience.
  • Experience in Cybersecurity domain.
  • Expert knowledge of Salesforce CRM.
  • Strong understanding of the B2B SaaS revenue lifecycle. Experience building dashboards and reporting. Advanced Excel / Google Sheets skills.
  • Excellent stakeholder management.
  • Strong analytical mindset.
  • Exceptional communication skills.
  • Experience working in remote global teams.

Preferred Qualifications

  • Cybersecurity industry experience.
  • SQL knowledge.
  • Tableau / Power BI / Looker.
  • AI-driven sales tools.
  • Experience implementing RevOps from scratch. MEDDPICC / MEDDIC / SPICED methodology knowledge.

Success in Your First Year

Within 12 months, you will:

  • Improve forecast accuracy.
  • Increase CRM adoption.
  • Build executive dashboards.
  • Standardize GTM processes.
  • Improve sales productivity.
  • Increase pipeline visibility.
  • Improve customer retention reporting.
  • Reduce manual operational work through automation.
  • Enable predictable revenue growth.

Who You Are

We're looking for someone who demonstrates:

  • Startup mindset.
  • Ownership mentality.
  • High accountability.
  • Strong business acumen.
  • Curiosity.
  • Continuous learning.
  • Problem-solving ability.
  • Bias for action.
  • Adaptability.
  • Strategic thinking with hands-on execution.

Salary Range - 90,000-110,000 per year.

Why Join SOCRadar?

  • Join a Gartner-recognized cybersecurity visionaries.
  • Work with talented global teams.
  • Build scalable revenue operations from the ground up.
  • Work remotely with flexible collaboration.
  • Make a measurable impact on company growth.
  • Accelerate your career in one of the fastest-growing cybersecurity companies.