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Data Analyst Data Science Jobs in Maine (NOW HIRING)

Data Analyst

Augusta, ME ยท Hybrid

$62K/yr

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 ...

Data Analyst

Augusta, ME ยท On-site

$62K/yr

Education, experience, and training, in any combination, relating to data science, statistics, economics, or a related field. Skills and Knowledge: Required โ€ข Information gathering and analytical ...

The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing ...

Data Scientist

Portland, ME ยท On-site

$87K - $123K/yr

The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing ...

Analytical thought leadership and stays current on developments in data mining and the application of data science * Solicits and offers ideas for improving business processes through insights with ...

New

Analytical thought leadership and stays current on developments in data mining and the application of data science * Solicits and offers ideas for improving business processes through insights with ...

New

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Data Analyst Data Science information

See Maine salary details

$13

$36

$63

How much do data analyst data science jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data analyst data science in Maine is $36.79, according to ZipRecruiter salary data. Most workers in this role earn between $26.54 and $44.62 per hour, depending on experience, location, and employer.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in Maine? For Data Analyst Data Science jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Maine look for? The top searched job categories for Data Analyst Data Science jobs in Maine are:
What cities in Maine are hiring for Data Analyst Data Science jobs? Cities in Maine with the most Data Analyst Data Science job openings:

$62K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 5 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.ย 

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: ย 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 ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย Supervises: No one


The starting annual salary for this position is $62,932, plus 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**