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Senior Data Analyst Developer Jobs in Portland, ME

NorthEastern

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads. The Data Scientist will contribute to data analysis ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads. The Data Scientist will contribute to data analysis ...

MaineHealth

Senior Data Literacy Specialist

Westbrook, ME · On-site

$77K - $104K/yr

The Senior Data Literacy Lead defines and executes the organization's data literacy strategy ... They establish standards to ensure analytics outputs are accessible and well-contextualized ...

Arkatechture

Lead Analyst

Portland, ME · On-site +1

The Position Arkatechture is seeking a Lead Analyst, Data & Analytics to serve as a senior ... In addition to resolving complex issues, this role partners closely with Engineering, Product, and ...

Arkatechture

Lead Analyst

Portland, ME · On-site +1

$95K - $125K/yr

The Position Arkatechture is seeking a Lead Analyst, Data & Analytics to serve as a senior ... In addition to resolving complex issues, this role partners closely with Engineering, Product, and ...

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Senior Data Analyst Developer information

See Portland, ME salary details

$56.3K

$101.5K

$138.6K

How much do senior data analyst developer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for senior data analyst developer in Portland, ME is $101,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $111,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

How does a Senior Data Analyst Developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What does a Senior Data Analyst Developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

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

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.
What are popular job titles related to Senior Data Analyst Developer jobs in Portland, ME? For Senior Data Analyst Developer jobs in Portland, ME, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst Developer jobs in Portland, ME look for? The top searched job categories for Senior Data Analyst Developer jobs in Portland, ME are:
Senior Data Analyst Developer jobs near you
Jr. Data Scientist 00021

Jr. Data Scientist 00021

West Coast Consulting

Westbrook, ME

$45 - $48/hr

Other

Medical, Life

Posted 19 days ago

Job description

Job Description Hybrid -Westbrook, ME Job Description: The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution.

We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning. What you can expect: Develop classification and clustering models on tabular data to support hematology analyzer capabilities Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist Partner with senior team members to understand requirements, explore data, and validate model performance Document your work clearly so it can be reviewed, reproduced, and built upon by the team Deploy your solutions to edge hardware What you need to succeed: 0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count) Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine learning, and algorithms Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model A growth mindset and willingness to learn from more senior team members Ability to communicate analyses and results clearly to your immediate team Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus Nice to have: Exposure to deploying ML models on resource-constrained or edge hardware Familiarity with model optimization techniques (quantization, ONNX, TFLite) Experience with version control (Git) and collaborative software development practices Experience modeling data for medical, diagnostic or life sciences applications

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