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Entry Level Data Analysis Excel Jobs in Portland, ME

Danaher

Digital Analyst Internships

South Portland, ME · On-site

$102K - $120K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend ...

Danaher

Digital Analyst Internships

Portland, ME · On-site

$100K - $119K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend ...

Danaher

Digital Analyst Internships

Auburn, ME

$106K - $125K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend ...

Danaher

Digital Analyst Internships

Auburn, ME · On-site

$106K - $125K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend ...

Danaher

Digital Analyst Internships

Portland, ME

$100K - $119K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend ...

Danaher

Digital Analyst Internships

Biddeford, ME · On-site

$103K - $122K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend ...

Danaher

Digital Analyst Internships

South Portland, ME

$102K - $120K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend ...

Danaher

Digital Analyst Internships

Biddeford, ME

$103K - $122K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend ...

EnthuZiastic

Growth Hacker - Remote

Auburn, ME · On-site

We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

EnthuZiastic

Growth Hacker - Remote

Biddeford, ME · On-site

We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

EnthuZiastic

Growth Hacker - Remote

Portland, ME · Remote

We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

EnthuZiastic

Growth Hacker - Remote

Auburn, ME · Remote

We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

EnthuZiastic

Growth Hacker - Remote

Portland, ME · On-site

We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

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All JobsData Analysis Excel JobsEntry Level Data Analysis Excel JobsEntry Level Data Analysis Excel Jobs in Portland, ME

Entry Level Data Analysis Excel information

See Portland, ME salary details

$13

$33

$63

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

As of Aug 7, 2026, the average hourly pay for entry level data analysis excel 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 the difference between Entry Level Data Analysis Excel vs Data Analyst?

AspectEntry Level Data Analysis ExcelData Analyst
Required SkillsBasic Excel, data entry, simple analysisAdvanced Excel, SQL, data visualization, statistical analysis
CertificationsNone or beginner Excel certificationsRelevant certifications like Microsoft Excel Expert, SQL certifications
Work EnvironmentEntry-level roles in various industries, often in office settingsMid-level roles in diverse industries, often involving complex data projects
Job ResponsibilitiesData entry, basic reporting, data cleaningData analysis, reporting, creating dashboards, interpreting data trends

Entry Level Data Analysis Excel focuses on basic data tasks using Excel, suitable for beginners. Data Analysts perform more complex analysis, often requiring additional skills like SQL and data visualization. While both roles work in office environments and require some Excel knowledge, Data Analysts handle more advanced responsibilities and typically have more certifications or experience.

What are the key skills and qualifications needed to thrive as an entry level data analyst using Excel?

To thrive as an Entry Level Data Analyst with an Excel focus, you need strong analytical skills, attention to detail, and a foundational understanding of data concepts, often supported by a relevant degree or coursework. Proficiency in Microsoft Excel, including formulas, pivot tables, and data visualization tools, is essential, and familiarity with basic data analysis software or certifications like Microsoft Office Specialist can be advantageous. Strong communication, problem-solving ability, and organizational skills help you interpret and present data insights effectively. These skills are crucial for accurately analyzing data, supporting business decisions, and contributing value to your team from the start.

What are some common challenges faced by entry level data analysts working primarily with Excel, and how can they be addressed?

Entry-level data analysts using Excel often encounter challenges such as managing large datasets that may exceed Excel’s capacity, ensuring data accuracy during manual data entry, and learning to use advanced functions like pivot tables, VLOOKUP, and data visualization tools effectively. To address these, it's helpful to become proficient with Excel shortcuts, regularly validate data for errors, and seek out training resources or mentorship from experienced team members. Collaborating closely with colleagues can also provide insights into best practices for organizing and analyzing data efficiently in a team environment.

What is an entry level data analysis Excel job?

Entry level data analysis Excel jobs are positions designed for individuals who are new to the field of data analysis and primarily use Microsoft Excel to organize, analyze, and visualize data. These roles typically involve tasks such as cleaning data, creating reports, building charts, and using formulas to draw insights from datasets. They are ideal for recent graduates or career changers and often serve as a stepping stone to more advanced data analyst roles. Proficiency in Excel, attention to detail, and basic analytical thinking are key skills for these jobs.
What are the most commonly searched types of Data Analysis Excel jobs in Portland, ME? The most popular types of Data Analysis Excel jobs in Portland, ME are:
What are popular job titles related to Entry Level Data Analysis Excel jobs in Portland, ME? For Entry Level Data Analysis Excel jobs in Portland, ME, the most frequently searched job titles are:
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Entry Level Data Analysis Excel jobs near you
Infographic showing various Entry Level Data Analysis Excel job openings in Portland, ME as of July 2026, with employment types broken down into 8% Internship, 84% Full Time, and 8% Contract. Highlights an 92% In-person, and 8% 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

Other

Medical, Life

Posted 29 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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