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Data Analyst Jobs in Lewiston, ME (NOW HIRING)

Data Analyst

Augusta, ME · Hybrid

$62K/yr

The Data Analyst role is responsible for data management and analysis for MaineHousing and its programs. The position will collect, analyze, and present data relevant to understanding housing needs ...

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 ...

Data Analyst information

See Lewiston, ME salary details

$36.2K

$88K

$144.8K

How much do data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for 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 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.

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

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

Infographic showing various 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.

$62K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago


Job description

Description

Primary Purpose: The Data Analyst role is responsible for data management and analysis for MaineHousing and its programs. The position will collect, analyze, and present data relevant to understanding housing needs, conditions, and trends in Maine, as well as the impact of MaineHousing programs. This position is responsible for internal and external requests for data, dashboard development and maintenance, compiling housing statistics, and assisting with program software adoption, program evaluation, and other research activities.

Core Functions:

Data Stewardship.

o Promote interdepartmental data literacy and appreciation by providing expertise and leadership to the Data Stewardship Team. 

o Develop and improve systems for the collection and maintenance of data from all MaineHousing programs and activities.

o Support the development and ongoing improvement of comprehensive data governance procedures to support the quality, integrity, and security of all MaineHousing data.

o Develop and maintain a database of publicly available data (e.g. HUD, Census, Maine Revenue Service) and subscription data (e.g. MLS and Claritas data) to support MaineHousing's strategic interests.

o Facilitate interdepartmental integration of data, where possible.


Data Analysis

o Assist in the design and creation of new data methods and tools to track and assess affordable housing needs by region and target population.

o Provide basic technical assistance and analytical expertise to departments for data analysis, program monitoring, and performance measurement.

o Support department directors' efforts to identify cost effective and reliable methods for measuring client satisfaction, needs, and trends for their programs and products.

o Develop a working knowledge of programs and priorities to proactively develop, maintain, and interpret data that will advance MaineHousing's strategic interests.

o Flag significant changes in indicators and indices and assist in investigating the cause of such anomalous variation.


Data Coordination and Communication

o Work with department directors and the director's team to create at-a-glance views of key performance indicators relevant to individual programs or agency objectives.

o Manage regular updates to all data dashboards, indices, and maps.

o Develop and maintain process guides for collecting, updating, managing, and using data for all of PnR's ongoing internal and external uses.

o Respond to requests for programmatic and other housing data from state agencies, researchers, municipalities, and the public; provide context and interpretation, as appropriate.

o Collect and curate data needed for grant applications and MaineHousing reports.

o Support departmental process improvement initiatives with data expertise and insights.

o Work with the PnR Coordinator to analyze survey data collected in support of department and agency initiatives.


Other duties as assigned

Requirements

Education and Experience: Education, experience, and training, in any combination, relating to data science, statistics, economics, or a related field.

Skills and Knowledge:

Required

Information gathering and analytical problem solving.

Ability to organize and interpret complex data from multiple sources.

Ability to present data using online tools such as Tableau and mapping applications.

Strong PC skills using various software (spreadsheet, word processing, database).

Ability to manage a fast-paced environment with shifting priorities across a range of work products with limited supervision.

Organizational skills and ability to prioritize and manage multiple and varied tasks.

Demonstrated skills in self-direction, attention to detail, and troubleshooting.

Ability to establish and maintain good working relationships with internal and external business partners.


Preferred

Demonstrated programming ability in SQL, R, or similar packages.

Experience with GIS software (ArcGIS or similar).


Working Conditions:  Fast paced environment with multiple priorities, interruptions & deadlines. A hybrid schedule may be considered, if appropriate, after 6 months employment.


Reports To: Director of Planning & Research                                     Supervises: No one


The salary range for this position is $62,932 - $94,399.  All new employees will start at $62,932, unless otherwise agreed to by MaineHousing.  MaineHousing also offers a comprehensive benefits package, including, but not limited to, health, dental and vision, retirement options with employer match, life insurance, short and long-term disability, employee assistance, generous earned time and all major federal holidays. Employment is eligible for the Public Service Loan Forgiveness Program. 


**Position will remain open until a suitable candidate is found**