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Data Analyst Jobs in Gray, ME (NOW HIRING)

Guardian Pharmacy

Pharmacy Scanner/Dispatcher

Brunswick, ME · On-site

$18.50 - $19.50/hr

... analyze causes and solve problems at both a strategic and functional level Team Oriented - ability to work effectively and collaboratively with all team members Essential Functions (include the ...

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All JobsData Analyst JobsData Analyst Jobs in Gray, ME

Data Analyst information

See Gray, ME salary details

$33.1K

$80.5K

$132.6K

How much do data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst in Gray, ME is $80,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,900.00 and $94,500.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

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

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

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

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

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

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

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Gray, ME as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $80,550 per year, or $38.7 per hour.

Part-Time Lecturer - Analytics (Portland)

NorthEastern

Portland, ME

$1.5K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

About the Opportunity

Northeastern University's College of Professional Studies invites applicants for a part-time faculty position to teach in the Master or Professional Studies Analytics, located on-ground in Portland, ME.

Responsibilities:

Instructional areas included, but arenot limited to, analytics, with particular expertise in probability and statistics, data exploration, data visualization, ,database management systems, leadership and risk management in analytics, business support andpredictive analytics. The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among working professionals, including preparing data, conducting data analysis, forecasting, optimization, data visualization, and data storytelling. This degree prepares students for entry and mid-levelroles in analytics, such as data analyst, data specialist, database analyst, program analyst, research analyst, or research associate. These roles are general analyst roles and are not specific to any particular professional domains or disciplines (e.g., business, marketing, and engineering). The degree is deeply rooted in experiential learning that is closely linkedto professional applications in the workforce.

Qualifications:

Minimum qualification: Masters in an aligned discipline and analytics-industry experience.

Preference for candidates with a PhD in a sciences field, or similar.

Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.

Application Materials

Applicants should submit materials including a cover letter and vitae.

Please direct questions to Prashant Mittal (p.mittal@northeastern.edu).

Applications will be reviewed until the position is filled.

Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate is $1,529

Apply