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Remote Data Analyst Jobs in Bar Harbor, ME (NOW HIRING)

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Remote Data Analyst information

See Bar Harbor, ME salary details

$31.6K

$76.9K

$126.6K

How much do remote data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote data analyst in Bar Harbor, ME is $76,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,300.00 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.

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

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

Infographic showing various Remote Data Analyst job openings in Bar Harbor, 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $76,898 per year, or $37 per hour.

Director Business Data Governance & Stewardship

The Jackson Laboratory

Ellsworth, ME • Remote

$136K - $228K/yr

Full-time

Re-posted 4 days ago


The Jackson Laboratory rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

20th of 120 rated laboratories


Job description

The Director of Business Data Governance & Stewardship is a strategic and collaborative leader responsible for the development and execution of enterprise-wide data governance strategies focused on commercial, operational, and administrative data. This position is responsible for ensuring the accuracy, integrity, accessibility, and stewardship of core business data assets such as customer, product, vendor, employee, and financial data and will work closely with cross-functional teams to build consensus and implement governance frameworks across departments with shared data responsibilities.

This role is fully remote with travel as needed

Key Responsibilities (What you contribute):

  • Establish and lead enterprise-wide data governance policies, hierarchies, roles, and responsibilities for operational data domains.

  • Build and support a matrixed team of data stewards across commercial and operational departments.

  • Serve as a central point of coordination for data governance initiatives.

  • Partner with internal stakeholders to co-develop and implement master data management (MDM) strategies.

  • Facilitate shared ownership and accountability for data quality and stewardship across commercial and operational business units.

  • Align governance efforts with enterprise goals, ensuring that data policies support - not disrupt - commercial and business operations.

  • Lead efforts to centralize stewardship practices while respecting and reinforcing departmental ownership of data.

  • Establish clear accountability mechanisms and service-level agreements (SLAs) for data management in collaboration with data-owning offices.

  • Support the selection, implementation, and optimization of MDM platforms and data governance tools.

  • Monitor and improve data accuracy, consistency, and completeness across enterprise systems.

  • Develop shared metrics and dashboards to track data quality and stewardship performance.

  • Enable departments and work units to leverage high-quality data for reporting, analytics, and decision-making.

  • Collaborate with analytics teams to ensure data governance supports business intelligence efforts.

  • Ensure adherence to data privacy regulations (e.g., GDPR, CCPA) and internal data handling policies.

  • Work with HR, Legal, and Compliance teams to define appropriate access controls and permissions.

  • Apply Lean principles to streamline data-related processes and reduce inefficiencies.

  • Identify opportunities for continuous improvement in data governance practices.

  • Document policies and procedures and train stakeholders on governance expectations and KPIs.

  • Foster a culture of shared responsibility, transparency, and data-driven decision-making.

Knowledge, Skills, and Abilities (What you're good at):

  • Bachelor's degree required, Master's degree is preferred

  • Minimum of 6 to 8 years of experience required

  • Proven ability to lead cross-functional initiatives and build consensus across stakeholders.

  • A.I. knowledge and experience utilizing and implementing

  • Strong understanding of MDM platforms, data quality frameworks, and compliance requirements.

  • Extensive experience with multiple enterprise CRM & ERP Platforms. Familiarity with HRIS, QMS, and/or Financial Accounting platforms.

  • Excellent leadership, communication, problem-solving, facilitation, and stakeholder engagement skills.

  • Ability to translate data insights into meaningful business recommendations.

  • Experience with Lean or Six Sigma methodologies is a plus.

  • Ability to travel as necessary up to 20%

Pay Range: $136,461 - $228,467 based on total years of related experience and internal pay equity considerations

About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.


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