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Entry Level Intelligence Analyst Jobs in Wells, ME

Prism Biotech

Pharmaceutical Rep - Oncology

Portland, ME · On-site

$84K - $115K/yr

Pharmaceutical Sales Representative (Specialty to entry level both available) Pharmaceutical Sales ... Utilize strong analytical and business acumen skills to identify areas of opportunities and provide ...

All JobsIntelligence Analyst JobsEntry Level Intelligence Analyst JobsEntry Level Intelligence Analyst Jobs in Wells, ME

Entry Level Intelligence Analyst information

See Wells, ME salary details

$43.2K

$105.4K

$162.7K

How much do entry level intelligence analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level intelligence analyst in Wells, ME is $105,389.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,100.00 and $126,900.00 per year, depending on experience, location, and employer.

What is an entry level intelligence analyst?

Entry level intelligence analysts are professionals who collect, evaluate, and interpret information to support decision-making in areas such as national security, law enforcement, or business. They use various sources, including open-source data, databases, and reports, to identify patterns, threats, or opportunities relevant to their organization. Typically, these roles require strong analytical skills, attention to detail, and the ability to communicate findings clearly. Entry level analysts often work under the supervision of more experienced staff, gaining experience as they contribute to larger intelligence projects.

What does an entry level intelligence analyst do?

An entry-level intelligence analyst works for a government agency, contractor, or law enforcement agency. In this career, your duties include working to gather and perform analysis on information. You assess data to identify threats and recommend a course of action to your superiors. In an entry-level position, your responsibilities may focus on trying to assist senior intelligence analysts by organizing raw data and selecting relevant information. Consulting firms and corporations may hire business intelligence analysts to conduct analysis and research of markets, competitors, and industry innovators.

What are the key skills and qualifications needed to thrive as an entry level intelligence analyst, and why are they important?

To thrive as an Entry Level Intelligence Analyst, you need strong analytical thinking, attention to detail, and a bachelor's degree in fields like criminal justice, international relations, or political science. Familiarity with data analysis tools, intelligence databases, and platforms such as Microsoft Excel or specialized geospatial systems is often required. Effective communication, critical thinking, and discretion are crucial soft skills for collaborating with teams and handling sensitive information. These skills and qualities are vital for accurately interpreting data, supporting decision-making, and maintaining security standards in intelligence work.

What are some common challenges faced by entry level intelligence analysts, and how can they be overcome?

Entry level intelligence analysts often face the challenge of processing large volumes of complex information while meeting tight deadlines. Adapting to specialized analytical tools and learning to distinguish between relevant and irrelevant data can also be demanding. Building strong relationships with colleagues and seeking mentorship can help new analysts develop critical thinking skills and gain confidence. Regularly reviewing best practices and participating in training opportunities can further ease the transition into this fast-paced role.
More about Entry Level Intelligence Analyst jobs
Entry Level Intelligence Analyst jobs near you
Infographic showing various Entry Level Intelligence Analyst job openings in Wells, ME as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $105,389 per year, or $50.7 per hour.

Jr. Data Scientist 00021

West Coast Consulting

Westbrook, ME

$45 - $48/hr

Full-time

Medical, Life

Re-posted 13 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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