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Remote Data Jobs in Farmington, ME (NOW HIRING)

Group Account Manager

ME · Remote

$163K - $261K/yr

Remote {#LI-Remote} Your role and responsibilities: * Drives strategic account planning, sales ... Data Center segment. * Demonstrated customer mindset and ability to create win-win solutions for ...

As part of the Data & Analytics (D&A) team, the Software Evaluation & Enablement Analyst will have ... This position offers remote work options from anywhere on the East Coast of the US, with work hours ...

Remote option may be available for candidates residing in the northeast region. Be involved in ... Your Impact * Assist with collecting, compiling, and analyzing data from the physical work site ...

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

As part of the Data & Analytics (D&A) team, the Software Evaluation & Enablement Analyst will have ... This position offers remote work options from anywhere on the East Coast of the US, with work hours ...

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Remote Data information

See Farmington, ME salary details

$47.5K

$170.6K

$251.7K

How much do remote data jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote data in Farmington, ME is $170,571.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,000.00 and $175,700.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

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 background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

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

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

Infographic showing various Remote Data job openings in Farmington, ME as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $170,571 per year, or $82 per hour.

Google Data Analytics Expert : REMOTE POSITION.

Software People, Inc.

Augusta, ME • Remote

Contractor

Re-posted 6 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.