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

Watts

IT Risk & Compliance Analyst

Andover, MA · On-site +1

$95K - $95K/yr

This role is remote and may be based anywhere within the United States. Primary Job Duties and ... data protection regulations, and external security assessments. * Partner with control owners ...

DataAnnotation

M&A Associate - AI Trainer

Manchester, NH · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

QA Engineer - AI Trainer

Manchester, NH · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

DataAnnotation

SDLC Engineer - AI Trainer

Manchester, NH · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Exeter, NH

Remote Data Analyst information

See Exeter, NH salary details

$34.6K

$84.1K

$138.4K

How much do remote data analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote data analyst in Exeter, NH is $84,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,700.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

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 do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

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.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

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.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Exeter, NH? The most popular types of Data Analyst jobs in Exeter, NH are:
What cities near Exeter, NH are hiring for Remote Data Analyst jobs? Cities near Exeter, NH with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Enterprise AI Architect

Enterprise AI Architect

Southern New Hampshire University

Manchester, NH • On-site, Remote

$68.25 - $88/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Southern New Hampshire University rating

8.8

Company rating: 8.8 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

39th of 555 rated colleges and universities

Job description

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us - and helped us grow a team that now serves over 180,000 learners worldwide.
Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.
Make an impact - from near or far
At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.
We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states.
The opportunity
The Enterprise AI Architect reports to the Vice President of Enterprise Architecture and serves as the technical and strategic lead for AI capabilities across the university's digital ecosystem. This role ensures AI solutions align to enterprise strategy, architecture standards, and business priorities while delivering secure, scalable, and ethical outcomes.
The architect partners across business, IT, and data domains to define and implement AI-enabled capabilities-including generative AI, machine learning, automation, and advanced analytics-integrated into core enterprise platforms (e.g., Salesforce, ServiceNow, Workday, D2L, Banner, O365).
You will also bridge the gap between Customer Success, Product, and Engineering teams, helping define how AI transforms collaboration at scale-across the SNHU's broader tech ecosystem.
Key Relationships:
  • Enterprise Architecture
  • Application Development and Engineering
  • Data & Analytics
  • Cloud and Infrastructure
  • Cybersecurity
  • Product Management
  • Enterprise Applications (Salesforce, Workday, Banner, D2L, ServiceNow, Microsoft 365)
  • Integration and Platform Teams
  • AI Engineering Team

You will work 100% remotely from any of our approved states. #LI-Remote
What You'll Do:
  • Define and evolve enterprise AI architecture, standards, reference models and implementation guidelines to support consistent solution delivery across business functions.
  • Align AI initiatives to enterprise strategies, roadmaps, and business priorities.
  • Identify and prioritize AI opportunities that drive student success and operational efficiency.
  • Design scalable AI platforms and solutions across data, application, and technology domains.
  • Provide guidance on how AI, ML, and automation will improve current and future-state architectures.
  • Lead design and implementation of AI-powered solutions (e.g., LLMs, agents, automation, and analytics).
  • Integrate AI capabilities with enterprise applications and data platforms.
  • Guide evaluation and selection of AI/ML models, frameworks, and vendors.
  • Establish reusable patterns, APIs, and integration approaches.
  • Establish governance practices covering model oversight, responsible AI usage, security controls, compliance expectations, and lifecycle management.
  • Establish AI governance, including responsible AI, security, privacy, and compliance (FERPA, HIPAA, GDPR).
  • Establish lifecycle management practices (MLOps/LLMOps, model monitoring, drift detection, retraining).
  • Implement performance, bias, and risk monitoring frameworks.
  • Ensure secure AI architecture (e.g., data protection, isolation, adversarial defense).
  • Partner with business, product, data, and engineering teams to provide AI solutions.
  • Provide architectural guidance to architects and delivery teams.
  • Facilitate workshops, POCs, demos and AI adoption projects identifying viable opportunities where AI can be a positive differentiator.
  • Mentor teams on AI best practices, patterns, and frameworks

What We're Looking For:
  • 15+ years in information Technology. technology, including:
  • 8+ years in enterprise or solution architecture.
  • 3+ years in AI/ML solution design and delivery.
  • Experience integrating AI solutions with enterprise platforms (e.g., Salesforce, ServiceNow, Workday, D2L, Banner).
  • Experience with enterprise architecture frameworks (e.g., TOGAF, Zachman) and Agile delivery.
  • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), LLMs, and agent-based architectures (e.g., RAG, AutoGPT, LangChain).
  • Experience with Cloud platforms (Azure, AWS, GCP) and data/AI pipeline design.
  • Experience with APIs, microservices, system integration, and enterprise data management.
  • Experience with ML Ops/LLM Ops practices including CI/CD, monitoring, and deployment patterns across (Azure, AWS, GCP).
  • Experience with enterprise standards for principles, patterns and guidelines on the use of AI within the SNHU environment. Inclusive of alignment with Responsible AI standards and Sustainability goals.

We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.
Compensation
The annual pay range for this position is $137,839.00 - $220,582.00. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $152,311.00 - $206,068.00.
Exceptional benefits (because you're exceptional)
You're the whole package. Your benefits should be, too. As a full-time employee at SNHU, you'll get:
  • High-quality, low-deductible medical insurance
  • Low to no-cost dental and vision plans
  • 5 weeks of paid time off (plus almost a dozen paid holidays)
  • Employer-funded retirement
  • Free tuition program
  • Parental leave
  • Mental health and wellbeing resources

What Southern New Hampshire University employees say

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