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

Arkatechture

Technical Lead, Data Analytics

Portland, ME · On-site +1

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 ...

Unum UK

Data Scientist II - CX Analytics

Portland, ME · On-site +1

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 ...

Wood Plc

GIS Analyst

Portland, ME · Remote

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 ...

Demand.com

Marketing Director (Remote)

Portland, ME · Remote

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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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Lewiston, ME

Remote Data Analyst information

See Lewiston, ME salary details

$36.2K

$88K

$144.8K

How much do remote data analyst jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote data analyst in Lewiston, ME is $88,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $103,300.00 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.
More about Remote Data Analyst jobs

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

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

What are popular job titles related to Remote Data Analyst jobs in Lewiston, ME?

For Remote Data Analyst jobs in Lewiston, ME, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in Lewiston, ME look for?

The top searched job categories for Remote Data Analyst jobs in Lewiston, ME are:

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

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

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Lewiston, ME as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $88,009 per year, or $42.3 per hour.

Google Data Analytics Expert : REMOTE POSITION.

Augusta, ME • Remote

Software People, Inc.
IT Services • 1 - 10 employees
Learn more about Software People, Inc.external

Contractor

Re-posted 10 days ago

Job description

Please Let me know your Interest and Rate for this position.

Phone/Skype Hire. Remote

Location: REMOTE

Duration: 12+ months

This position is part of the Enterprise Data Services group and will work with the Digital Services program within the Office of Information Technology. The Digital Services program is essential for designing and overseeing the implementation of a customer-centric online application to simplify State government and digital services. While working alongside vendor contractors and the Digital Service program team, you will be relied upon for all aspects of data analysis and exploration while providing valuable analytical insights to support department initiatives and assist in making data-driven program decisions. This position will able be responsible for incorporating a repository of data from the online application into an existing warehouse and presenting data in PowerBI dashboards and reports.

Responsibilities  

  • Analyze and understand State requirements.
  • Participate as subject matter expert of source data, develop data catalogue, and perform user acceptance testing for Digital Services program.
  • Provide expertise for data sharing, data visualization, and understand, configure, and enforce access rules.
  • Understand KPIs and present related data in a meaningful way.
  • Help establish frequency and schedule of data extraction, review data quality, and adhere to transformation rules.
  • Develop reports, dashboards, and visualize data in a meaningful way based on given requirements.
  • Participate in project briefing and brainstorming.
  • Using detailed and general knowledge of the end-to-end workings of how systems work, assist in any testing, trouble-shooting, and help implement fixes to resolve poorly functioning processes.
  • Assist in solution documentation, diagrams, and technical specifications.

Skills Needed

  • Google Analytics experience.
  • Experience extracting data from source system to target data warehouse.
  • Expert knowledge of Power BI data visualization and analysis tools.
  • Five+ years of relevant experience in the following:

o             Extracting data from source system to target data warehouse.

o             Data analysis, quality, and reporting.

•             Expert knowledge of Power BI data visualization and analysis tools.

•             Ability to read and follow regulatory requirements on State and Federal levels.

•             Strong information architecture and integration strategy skills.

•             Excellent communication and interpersonal skills.

•             Ability to work independently and as part of a team.