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Remote Data Analyst Jobs in Wells, ME (NOW HIRING)

The Opportunity As the Technical Lead, Data Analytics , you'll serve as the senior technical expert ... Flexible remote work with optional access to our Portland, Maine office * Four-day work week after ...

Current remote and field-based Unum employees may apply and will be considered in accordance with ... data assets for ad-hoc analyses and larger studies. Apply validation, aggregation, and ...

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... programs for data collection, engineering, and environmental applications #LI-Remote Skills ...

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

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Remote Data Analyst information

See Wells, ME salary details

$35.8K

$87K

$143.2K

How much do remote data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote data analyst in Wells, ME is $87,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $102,200.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

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.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Wells, ME?

The most popular types of Data Analyst jobs in Wells, ME are:

What cities near Wells, ME are hiring for Remote Data Analyst jobs?

Cities near Wells, ME with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Wells, ME as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $87,043 per year, or $41.8 per hour.

Senior Data Solutions Analyst: Operational Data & Reporting team

Portsmouth, NH • On-site, Remote


Liberty Mutual
Insurance Services • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 162 frontline employees who took The Breakroom Quiz

72nd of 315 rated insurance

People enjoy working here

Good employer

Recommended by students


$87K - $110K/yr

Full-time

Re-posted 10 days ago


Job description

Description

Ensuring that data is a competitive differentiator for our enterprise, the USRM Data Office sets strategic data product visions, governs data for quality and compliance, develops best in class data and reporting solutions, and continuously seeks to optimize the value that data creates for our customers and company. Our team includes data analysts, data stewards, data strategists, and data product owners - performance-driven individuals who make sure that data is appropriately leveraged across every layer of our business.

The Operational Data & Reporting team within USRM Data Office is seeking a Senior Data Solutions Analyst focusing on scalable data & reporting solutions and insights for a range of stakeholders within our Direct Distribution and Partnerships reporting team.

This position may have in-office requirements dependent upon candidate location

Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote.

Responsibilities:

  • Design and develop scalable data solutions with a focus on reusability that enable effective self-service data consumption and can describe their value to the customer.
  • Independently works on prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions.
  • Stay up to date with advancements in data engineering, evaluate new tools and recommend adoption where appropriate.
  • Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation)
  • Designs proof-of-concept solutions utilizing and advanced understanding of multiple coding languages to meet technical and business requirements with an ability to perform iterative solution testing to ensure specifications are met.
  • Strive to become a technical leader and mentor for the team, providing assistance & guidance to junior team members
  • Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency
  • Prioritizes efforts based on customer value and can set expectations for deliverables of high complexity.
  • Ensure data solutions include activities and deliverables required to achieve high data quality and displays a strong understanding of complex, multi-tier, multi-platform systems, applying principles of metadata, lineage, business definitions, compliance and data security to project work.

The ideal candidate will:

  • Have strong technical aptitude with data manipulation, data wrangling and Reporting tools (SQL, Power Bi, SAS, Python cloud computing: AWS and Snowflake).
  • Demonstrate 3+ years of experience building production data pipelines, data solutions and Power Bi Dashboards.
  • Possess hands-on experience with data quality testing frameworks and practices,and experience implementing automated data tests and validation.
  • Have excellent communication skills and the ability to work with technical and non-technical stakeholders.
  • 3-5+ years' experience in coding for data management, data warehousing, or other data environments, including, but not limited to, ETL & scripting languages (Python)
  • 3-5+ years' experience with top quadrant Business Intelligence tools. Demonstrated technical knowledge and skills in coding languages and business intelligence tools (e.g., SQL, Power BI SAS, Python) and interest in expanding knowledge in this space.
  • Must possess strong analytical, strategic, project management, decision-making and problem-solving skills.
  • Direct Distribution domain knowledge preferred but not required.
  • Demonstrates a comprehensive understanding of new technologies as needed to progress initiative and ability to adapt
  • Able to describe value and support the prioritization of data solutions.
  • Able to organize and address customer pain points.
Qualifications
  • Strong written and oral communication skills required
  • Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred
  • Master`s in same or related disciplines strongly preferred
  • 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME

Liberty Mutual logo

About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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Pay

Benefits

Hours and flexibility

Workplace

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