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Startup Entry Level Data Analyst Jobs in Portland, ME

Nova Analytic Labs

Lab Analyst I

Portland, ME · On-site

$50K - $60K/yr

As a startup, we are particularly interested in individuals with well-rounded capabilities and an ... Responsible for data entry of samples in the lab * Responsible for understanding and following all ...

Nova Analytic Labs LLC

Lab Analyst I

Portland, ME

As a startup, we are particularly interested in individuals with well\-rounded capabilities and an ... Responsible for data entry of samples in the lab \n * Responsible for understanding and following ...

Nova Analytic Labs

Lab Technologist

Portland, ME · On-site

Job Opportunity Nova Analytic Labs is seeking a highly motivated entry level scientist to join our ... As a startup, we are particularly interested in individuals with well-rounded capabilities and an ...

TEKsystems

Data Scientist

Westbrook, ME

$48/hr

... 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 ...

Nova Analytic Labs

Lab Technologist

Portland, ME · On-site

$20 - $24/hr

As a startup, we are particularly interested in individuals with well-rounded capabilities and an ... analysis on LC/MS, GC/MS and ICP/MS * Responsible for data entry of samples in the lab

Nova Analytic Labs LLC

Lab Technologist

Portland, ME

$20 - $24/hr

\n \n \n Nova Analytic Labs is seeking a highly motivated entry level scientist to join our cannabis ... As a startup, we are particularly interested in individuals with well\-rounded capabilities and an ...

VHB

Entry-Level Traffic Engineer

Portland, ME · Hybrid

$68K - $72K/yr

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 ...

VHB

Entry-Level Traffic Engineer

Portland, ME · Hybrid

$68K - $72K/yr

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 ...

VHB

Entry-Level Traffic Engineer

Portland, ME · On-site

$68K - $72K/yr

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 ...

VHB

Entry-Level Traffic Engineer

Portland, ME · Hybrid

$68K - $72K/yr

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 ...

Unum UK

Network Data Specialist

Portland, ME

$22.60/hr

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 ...

SPECTRUM

Entry Level Sales

Portland, ME

$27K/yr

... speed data and communication solutions. Your efforts will drive meaningful connections and ... Conduct consultative needs analyses to tailor product recommendations for each prospective customer

Sweatpals

Product Manager Internship

Biddeford, ME · On-site

... startup role is highly preferred * Strong product instincts: you think about users, flows, and edge cases naturally * Data fluency - comfortable reading analytics dashboards, writing basic SQL, or at ...

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All JobsStartup Data Analyst JobsStartup Entry Level Data Analyst JobsStartup Entry Level Data Analyst Jobs in Portland, ME

Startup Entry Level Data Analyst information

See Portland, ME salary details

$13

$33

$63

How much do startup entry level data analyst jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for startup entry level data analyst 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 does a startup entry level data analyst do?

A startup entry level data analyst is responsible for collecting, processing, and interpreting data to help the company make informed decisions. They often work with large datasets, conduct basic data cleaning, create visualizations, and generate reports to identify trends and insights. In a startup environment, analysts may also assist with automating processes, supporting marketing or product teams, and exploring new tools. This role is ideal for individuals looking to gain hands-on experience and make a tangible impact in a fast-paced setting.

What are the key skills and qualifications needed to thrive as a startup entry level data analyst?

To thrive as a Startup Entry Level Data Analyst, you need a solid understanding of statistics, data visualization, and analytical thinking, often backed by a degree in a quantitative field. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically expected. Strong problem-solving, adaptability, and effective communication help you interpret data insights and collaborate in a fast-paced environment. These skills are essential for turning raw data into actionable insights that drive growth and innovation in a startup setting.

What are the most common challenges faced by entry-level data analysts working at startups?

Entry-level data analysts at startups often encounter challenges such as rapidly shifting priorities, limited resources, and the need to wear multiple hats. You may be expected to handle a mix of data cleaning, reporting, and ad-hoc analyses while adapting quickly to evolving business goals. The fast-paced environment requires strong communication skills to collaborate effectively with cross-functional teams, including product managers and engineers. However, these challenges also provide opportunities to learn quickly and make a tangible impact early in your career.

What is the difference between Startup Entry Level Data Analyst vs Startup Data Scientist?

AspectStartup Entry Level Data AnalystStartup Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentData analysis, reporting, basic modelingAdvanced modeling, machine learning, algorithm development
Employer & Industry UsageStartups, tech companies, small businessesStartups, tech firms, research-focused companies

Startup Entry Level Data Analysts focus on data collection, cleaning, and basic analysis to support decision-making. In contrast, Startup Data Scientists handle complex modeling, machine learning, and predictive analytics. While both roles require a background in data-related fields, Data Scientists typically need more advanced skills and education. The roles often overlap in startup environments, but Data Scientists usually work on more sophisticated projects.

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

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

What job categories do people searching Startup Entry Level Data Analyst jobs in Portland, ME look for?

The top searched job categories for Startup Entry Level Data Analyst jobs in Portland, ME are:

Startup Entry Level Data Analyst jobs near you
Infographic showing various Startup Entry Level Data Analyst job openings in Portland, ME as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $70,070 per year, or $33.7 per hour.

Jr. Data Scientist 00021

Westbrook, ME

West Coast Consulting
IT Services • 51 - 200 employees
Learn more about West Coast Consultingexternal

$45 - $48/hr

Full-time

Medical, Life

Re-posted 23 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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