2

Remote Data Analysis Jobs in Rowley, MA (NOW HIRING)

Senior Health Data Consultant

Boston, MA · On-site +1

$120K - $160K/yr

This is a remote role. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance ... This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption ...

Senior GTM Data Analyst

Boston, MA · On-site +1

$93K - $117K/yr

... and productivity analysis. Model upside/downside scenarios and leading indicators of risk to ... Data Modeling & Architecture: Own, build, and optimize durable transformation and semantic models ...

Data Engineer

Burlington, MA · Remote

$145K - $180K/yr

If you're analytical, detail-oriented, and passionate about building robust data systems at scale ... This is NOT a fully remote position! * 4-6 years of experience as a Data Engineer, Backend Engineer ...

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 ...

FP&A Manager - AI Trainer

Lynn, MA · Remote

$50 - $100/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 ...

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 ...

Documents modeling assumptions, methodology, code, and analytical results clearly and consistently ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Showing results 41-60

Remote Data Analysis information

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

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, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

Can I get a remote job as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Many companies offer remote roles with flexible schedules, and a strong portfolio or certification can improve job prospects.

Is data analysis a good career for remote work?

Data analysis is well-suited for remote work because it primarily involves computer-based tasks such as working with datasets, using tools like Excel, SQL, and Python, and communicating insights through reports. Many companies offer remote data analyst positions, and strong skills in data visualization and self-management are important for success in a remote environment.

What job categories do people searching Remote Data Analysis jobs in Rowley, MA look for?

The top searched job categories for Remote Data Analysis jobs in Rowley, MA are:

What cities near Rowley, MA are hiring for Remote Data Analysis jobs?

Cities near Rowley, MA with the most Remote Data Analysis job openings:

Infographic showing various Remote Data Analysis job openings in Rowley, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Health Data Consultant

Gradient AI

Boston, MA • On-site, Remote

$120K - $160K/yr

Full-time

Re-posted 5 days ago


Job description

This is a remote role.

Gradient AI:
Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team.

About the Role:
We're looking for a Senior Health Data Consultant to partner closely with our clients and internally to drive adoption and value of Gradient AI's services within our Group Health products. This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption, renewal analytics, and risk interpretation—helping clients translate model outputs into clear underwriting and pricing decisions. This role blends technical depth (math, analytics, coding) with consultative client engagement. It is ideal for someone who is highly quantitative, comfortable working directly with AI-driven model outputs, and excited to guide clients through data-driven pricing and underwriting decisions.

How you will make an impact:
  • Engage directly with clients to provide advanced analytical support.
  • Lead pricing consultations for Group Health SAIL and Renewal products, helping clients interpret risk scores and model outputs.
  • Partner with internally with Client Services, Sales, Product, and Data Science to support our clients across new sales and renewals.
  • Analyze data using internal tools to evaluate pricing risk and provide recommendations.
  • Dive deep into AI-generated outputs to explain what model outputs and risk indicators mean in practical underwriting and pricing strategies.
  • Write and execute SQL and Python queries to analyze large datasets and evaluate submission performance.
  • Build and refine advanced Excel models to stress-test pricing assumptions and validate model results.
  • Clearly communicate complex mathematical and AI concepts to non-technical client stakeholders.
  • Help quantify ROI and performance improvements tied to our AI products
Skills needed to succeed:
  • 5+ years of experience in a healthcare analytics, population health, healthcare economics, or claims analysis role, with an actuarial perspective.
  • Strong quantitative background in Statistics, Mathematics, Economics, Analytics, or a related field.
  • Proficiency in Python and SQL required; advanced Excel skills required.
  • Ability to interpret complex statistical outputs and clearly communicate insights to non-technical stakeholders.
  • Analytical support for health insurance populations (e.g., renewal pricing, retention, trend management, or book-of-business optimization)
  • Comfortable engaging directly with clients in a consultative capacity and presenting analytical findings.
  • Proven experience building or refining pricing models, running data submissions, and validating model-driven results.
  • ASA certification is a plus.
  • Exposure to modern data platforms such as Databricks is a plus.
What We Offer:
  • A fun, team-oriented startup culture.
  • Generous stock options - we all get to own a piece of what we're building.
  • Unlimited vacation days.
  • Flexible schedule that supports working from home.
  • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
  • Ample opportunities to learn and take on new responsibilities.
We are an equal opportunity employer.

Salary Range: $120,000-160,000 base salary annually.
This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.