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How much do data analytics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data analytics in Bar Harbor, ME is $50.94, according to ZipRecruiter salary data. Most workers in this role earn between $40.91 and $57.69 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics 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 $105,961 per year, or $50.9 per hour.

Director, Research Data Governance & Analytics

The Jackson Laboratory

Bar Harbor, ME • On-site

$136K - $228K/yr

Full-time

Re-posted 23 hours ago

The Jackson Laboratory rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

19th of 120 rated laboratories

Job description

The Director of Research Data Governance & Analytics leads JAX's research and education data strategy and works closely with stakeholders to advance JAX data capabilities through the development and implementation of governance, use, and AI initiatives. Reporting to the Vice President of Research Administration, this position provides oversight and direction of data management standards, integrity, accessibility, and regulatory compliance throughout the data lifecycle and across the organization's research applications and systems ecosystem. Working closely with researchers and administrators, the Director plays a critical role in driving data-driven decision making at JAX.
Remote with travel as needed
Key Responsibilities (What you contribute):
  • Develop a research data framework in collaboration with stakeholders; create and execute a master research data project plan to implement data collection, operations, reporting, and analytics strategies.
  • Serve as the institutional official responsible for collaboration and coordination across IT, Security, Legal, Compliance, Research, Administration, and Services teams and partner with data-related committees, subject matter experts, and operations teams to implement research data management, including the optimal integration of tools, applications, and technology solutions throughout the research data ecosystem.
  • Facilitate stakeholder engagement to establish and maintain the research data governance infrastructure, policies, standards, and practices; collaborate with stakeholders to foster trust and shared responsibility for research data governance and management.
  • Develop standardized and consistent data governance policies, practices, and procedures that promote information sharing, collaboration, and innovation consistent with ethical, compliance, and security requirements; provide data requirement documents and resources, including, e.g., data definitions/ontologies, data lineage/provenance, workflows, metadata forms, data models, protocols, etc.
  • Promote a culture of data accuracy, transparency, and operational excellence within the research community; oversee the remediation, alignment, and rationalization of research data and metadata; provide oversight for sharing research data to ensure quality, traceability, and usability consistent with FAIR and CARE principles.
  • Prepare and maintain research data governance documentation; monitor emerging data and AI regulations; identify and mitigate risks related to data governance and management; support audits and assessments.
  • Lead the development of research analytics capabilities; define metrics and KPIs to assess research and educational outcomes, translating institutional strategy into measurable performance indicators aligned across programs and reporting requirements.
  • Define, manage, and advance information management principles, policies, programs; create or use tools to track, categorize, and inventory research data; identify data management metrics and design data quality scorecards to monitor and improve data integrity.
  • Establish requirements for reports, communications, and metrics dashboards, advise on the use of AI tools to contribute to continuous process improvements for data management and use across the research enterprise.
  • Develop and deliver outreach, education, and training programs to foster data literacy, integrity, and stewardship.

Knowledge, Skills, and Abilities (What you're good at):
  • 10 years of technical experience, ideally in data governance and management
  • BS degree required, master's preferred
  • 5 or more years of progressive leadership of enterprise-wide programs and/or cross-functional teams
  • Significant knowledge of data governance best practices, data management principles, data architecture, storage, and security requirements
  • Experience executing strategic plans that involved integrating complex, cross-functional processes and information
  • Strong analytical and problem-solving abilities and the ability to conduct independent data analysis
  • Knowledge of regulatory compliance and policy development and education
  • A strong commitment to a collaborative and inclusive decision making
  • Excellent oral and written communication skills, including the ability to explain technical concepts to non-technical audiences

Pay Range: $136,461 - $228,467 based on years of related experience
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 and China. 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 visit www.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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