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Data Analytics Manager Jobs in Portland, ME (NOW HIRING)

Northeastern University

Data Scientist

Portland, ME · On-site

... analytical findings to technical and non-technical audiences with guidance. • Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty ...

Portland Glass

Data and Reporting Manager

Portland, ME

$82K - $131K/yr

Data & Reporting Manager The Data & Reporting Manager is responsible for developing, maintaining ... Build ad hoc analyses and decision-support reporting that help leaders identify trends, risks ...

Unum UK

Data Scientist II - CX Analytics

Portland, ME · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Data Scientist II to join the CX Analytics team within our Customer Experience ... Efficiently interpret results and communicate findings and potential value to influence manager and ...

Unum Group

Data Scientist II - CX Analytics

Portland, ME · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Data Scientist II to join the CX Analytics team within our Customer Experience ... Viewed as a promoter of change management and leads proof of concept work and prototyping when ...

Unum

Data Scientist II - CX Analytics

Portland, ME · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Data Scientist II to join the CX Analytics team within our Customer Experience ... Efficiently interpret results and communicate findings and potential value to influence manager and ...

New

Td

Data Steward II (US)- Regulatory Reporting

Portland, ME · On-site

$91K - $136K/yr

... manages end-to-end functional programs * Solves or may lead others to solve complex problems; leads efforts or partners with others to develop new solutions * Uses sophisticated analytical thought to ...

Unum UK

Sr. Data Engineer - CX Analytics

Portland, ME · Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Senior Data Engineer to join the CX Analytics team within our Customer Experience ... Responds quickly and positively to change and is viewed as a promoter of change management.

Milliman

Client Success Manager (MedInsight)

Portland, ME

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Client Success team provides effective analytical support and proactive recommendations to support data-driven decisions. Client Success Managers must have a strong understanding of the health ...

Td

Collections Strategy Manager

Portland, ME · On-site

$120K - $145K/yr

Risk Management We are seeking a highly analytical and strategic Credit Card Collections Strategy ... Leverage data analytics and segmentation to design targeted treatment strategies (SMS, digital ...

Neighborly

Data & Reporting Manager

New Gloucester, ME · On-site

$120K/yr

Data & Reporting Manager The Data & Reporting Manager is responsible for developing, maintaining ... Build ad hoc analyses and decision-support reporting that help leaders identify trends, risks ...

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Showing results 21-40

All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Portland, ME

Data Analytics Manager information

See Portland, ME salary details

$31.7K

$99.4K

$176K

How much do data analytics manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data analytics manager in Portland, ME is $99,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $128,400.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Portland, ME?

The most popular types of Data Analytics jobs in Portland, ME are:

What are popular job titles related to Data Analytics Manager jobs in Portland, ME?

For Data Analytics Manager jobs in Portland, ME, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Portland, ME look for?

The top searched job categories for Data Analytics Manager jobs in Portland, ME are:

What cities near Portland, ME are hiring for Data Analytics Manager jobs?

Cities near Portland, ME with the most Data Analytics Manager job openings:

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Portland, ME as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $99,390 per year, or $47.8 per hour.

Data Scientist

Northeastern University

Portland, ME • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
Northeastern University is seeking a Data Scientist for its AI Solutions Hub at the Roux Institute in Portland, Maine. This role is designed for early-career data scientists to contribute to the development and delivery of AI and data science solutions across various industries while gaining exposure to production systems and modern AI practices.
Responsibilities:
• Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
• Train, evaluate, and compare machine learning models under supervision.
• Assist with model validation, performance monitoring, and documentation.
• Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
Qualifications:
Required:
• Master’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
• 0–2 years of industry, research, or applied project experience in data science or machine learning.
• Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
• Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
• Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
• Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
• Working knowledge of SQL and relational databases.
• Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
• Awareness of ethical AI principles including fairness, transparency, and responsible model use.
• Willingness to follow established governance, documentation, and review practices.
• Strong curiosity and motivation to learn new tools, techniques, and AI methods.
• Openness to feedback and mentorship.
• Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
• Proactive attitude and willingness to take increasing responsibility over time.
Preferred:
• Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Understanding of software development best practices such as version control (Git) and Agile workflows.
Company:
Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. Founded in 1898, the company is headquartered in Boston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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