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Entry Level Data Analysis Jobs in Portland, ME (NOW HIRING)

... analyzer capabilities • Contribute to model development, evaluation, and iteration under the ... Entry Level Job Type & Location This is a Contract position based out of Westbrook, ME. Pay and ...

... analyzer capabilities • Contribute to model development, evaluation, and iteration under the ... Entry Level Job Type & Location This is a Contract position based out of Westbrook, ME. Pay and ...

Overview ABOUT THE POSITION VHB is seeking a talented Entry Level Traffic Engineer to join our ... Preparing written documents (memoranda, reports, plans), summarizing data and analysis, and ...

ABOUT THE POSITION VHB is seeking a talented Entry Level Traffic Engineer to join our ... Preparing written documents (memoranda, reports, plans), summarizing data and analysis, and ...

Overview ABOUT THE POSITION VHB is seeking a talented Entry Level Traffic Engineer to join our ... Preparing written documents (memoranda, reports, plans), summarizing data and analysis, and ...

Overview ABOUT THE POSITION VHB is seeking a talented Entry Level Traffic Engineer to join our ... Preparing written documents (memoranda, reports, plans), summarizing data and analysis, and ...

Overview ABOUT THE POSITION VHB is seeking a talented Entry Level Traffic Engineer to join our ... Preparing written documents (memoranda, reports, plans), summarizing data and analysis, and ...

This is an entry level non-exempt position with a starting pay of $22.60/hr. Principal Duties and ... Strong critical-thinking, analytical, and problem-solving skills * High attention to detail and ...

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

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Entry Level Data Analysis information

See Portland, ME salary details

$13

$33

$63

How much do entry level data analysis jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for entry level data analysis in Portland, ME is $33.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $37.64 per hour, depending on experience, location, and employer.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

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

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

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

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

What are popular job titles related to Entry Level Data Analysis jobs in Portland, ME?

For Entry Level Data Analysis jobs in Portland, ME, the most frequently searched job titles are:

Infographic showing various Entry Level Data Analysis job openings in Portland, ME as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $70,070 per year, or $33.7 per hour.

Jr. Data Scientist 00021

West Coast Consulting

Westbrook, ME • On-site

$45 - $48/hr

Full-time

Medical, Life

Re-posted yesterday


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