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Azure Data Analyst Jobs in Maine (NOW HIRING)

Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature ... AWS, Azure, or GCP). • Understanding of software development best practices such as version ...

Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature ... AWS, Azure, or GCP). • Understanding of software development best practices such as version ...

The Data Scientist will contribute to data analysis, feature engineering, model development ... Familiarity with cloud platforms (AWS, Azure, or GCP). * Understanding of software development best ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist will contribute to data analysis, feature engineering, model development ... Familiarity with cloud platforms (AWS, Azure, or GCP). * Understanding of software development best ...

Data Scientist III - FCRM

Lewiston, ME · On-site

$96K - $155K/yr

Analytics, Insights, & Artificial Intelligence ATTN: This role is not eligible for TD work visa ... Strong SQL, Python, Databricks, Oracle, Azure, and cloud data platform experience. * Experience ...

Data Scientist III - FCRM

Portland, ME · On-site

$96K - $155K/yr

Analytics, Insights, & Artificial Intelligence ATTN: This role is not eligible for TD work visa ... Strong SQL, Python, Databricks, Oracle, Azure, and cloud data platform experience. * Experience ...

Be Seen First

This role analyzes business needs, troubleshoots application issues, analyzing data for reporting ... Research and evaluate relevant technologies, including Power Automate, Blazor, Azure-hosted ...

Business Analyst

Portland, ME · On-site

$85K - $100K/yr

Analyze current-state processes, workflows, and data structures; develop future-state designs that ... Proficiency with BA tools (e.g., Visio, Lucidchart, Jira, Confluence, Azure DevOps, MS Office/365 ...

Analyze current-state processes, workflows, and data structures; develop future-state designs that ... Proficiency with BA tools (e.g., Visio, Lucidchart, Jira, Confluence, Azure DevOps, MS Office/365 ...

Business Analyst

Portland, ME · On-site

$85K - $100K/yr

Analyze current-state processes, workflows, and data structures; develop future-state designs that ... Proficiency with BA tools (e.g., Visio, Lucidchart, Jira, Confluence, Azure DevOps, MS Office/365 ...

Analyze current-state processes, workflows, and data structures; develop future-state designs that ... Proficiency with BA tools (e.g., Visio, Lucidchart, Jira, Confluence, Azure DevOps, MS Office/365 ...

Collaborate with the Business Intelligence team to analyze data, identify trends, and provide actionable insights to support decision-making. * Utilize BA tools (e.g., Azure DevOps, Visio, Excel) to ...

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Showing results 1-20

Azure Data Analyst information

See Maine salary details

$32.9K

$80K

$131.7K

How much do azure data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for azure data analyst in Maine is $80,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $93,900.00 per year, depending on experience, location, and employer.

What is an Azure Data Analyst?

An Azure Data Analyst is responsible for analyzing and interpreting data using Microsoft Azure's cloud-based services and tools. They work with Azure Synapse Analytics, Power BI, and Azure Data Factory to process, transform, and visualize data for business insights. Their role involves data modeling, reporting, and ensuring data accuracy to support decision-making. They often collaborate with data engineers and business stakeholders to optimize data solutions. This role requires expertise in SQL, data warehousing, and cloud-based analytics solutions.

What are the typical daily responsibilities of an Azure Data Analyst?

Azure Data Analysts typically spend their days gathering, cleaning, and analyzing data from various sources using Azure-based tools like Azure Data Factory, Azure Synapse Analytics, and Power BI. They collaborate closely with data engineers, business analysts, and other stakeholders to translate business requirements into actionable datasets and informative reports. Daily tasks may include designing data models, preparing dashboards, monitoring data quality, and automating data processes within the Azure environment. This role often requires balancing technical analysis with effective communication to ensure insights are meaningful and tailored to business needs.

What are the key skills and qualifications needed to thrive as an Azure Data Analyst?

To excel as an Azure Data Analyst, you should have a solid background in data analysis, database management, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with Microsoft Azure data services (such as Azure Synapse Analytics, Azure Data Lake, and Power BI), as well as certifications like Microsoft Certified: Azure Data Fundamentals, are highly valued. Strong problem-solving, attention to detail, and effective communication make candidates stand out in this role. These competencies are vital for transforming raw data into actionable insights and supporting business decision-making in cloud-driven environments.

How much do Azure Data Analysts make?

Azure Data Analysts typically earn a median annual salary ranging from $70,000 to $100,000, depending on experience, location, and certifications such as Microsoft Certified Data Analyst Associate. Entry-level positions may start lower, while experienced analysts with advanced skills and certifications can earn higher salaries.
Infographic showing various Azure Data Analyst job openings in Maine as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 3% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,012 per year, or $38.5 per hour.

Full-time

Re-posted 26 days ago


Job description

Job Summary:
Northeastern University is seeking a Data Scientist for a full-time, one-year term appointment at their Roux Institute in Portland, Maine. The role focuses on supporting the development and delivery of AI and data science solutions, involving data analysis, feature engineering, model development, and collaboration with senior professionals in the field.
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.
• 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.
Qualifications:
Required:
• Master’s degree (required) or Ph.D. (optional) 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.
• Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
• 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:
• Industry experience is 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.