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Data Analyst Intern Jobs in Mercer, ME (NOW HIRING)

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Power BI Intern

Augusta, ME ยท On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

2027 Intern - Technology

Augusta, ME ยท On-site

$14.75 - $19.75/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

2027 Intern - Technology

Augusta, ME

$14.75 - $19.75/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

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Data Analyst Intern information

See Mercer, ME salary details

$12

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$42

How much do data analyst intern jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data analyst intern in Mercer, ME is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What does a data analyst intern do?

A Data Analyst Intern supports data analysis projects by collecting, cleaning, and organizing data. They use tools like Excel, SQL, or Python to analyze datasets and help generate reports or visualizations for business insights. Interns often work under supervision, assisting with ongoing projects and learning industry best practices, which helps them gain valuable experience in data analytics and business intelligence.

What types of projects and tasks can a data analyst intern expect to work on during their internship?

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

What are the key skills and qualifications needed to thrive as a data analyst intern, and why are they important?

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

What is the difference between Data Analyst Intern vs Data Scientist Intern?

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

Is a data analyst internship worth it?

A data analyst internship provides practical experience with data analysis tools like Excel, SQL, and visualization software, which can enhance employability and skill development. It offers exposure to real-world projects and networking opportunities, making it valuable for those pursuing a career in data analysis.

What cities near Mercer, ME are hiring for Data Analyst Intern jobs?

Cities near Mercer, ME with the most Data Analyst Intern job openings:

Infographic showing various Data Analyst Intern job openings in Mercer, ME as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $46,835 per year, or $22.5 per hour.

Senior Investment Data Analyst (Boston, MA)

Colby

Waterville, ME โ€ข On-site

$85K - $108K/yr

Full-time

Re-posted 14 days ago


Job description

Job DescriptionDepartment:Investment OfficePay Rate Type:SalaryEmployee Type:Job Summary:

IMPORTANT: This is NOT a remote position and will be located onsite in our Boston, MA office.

The Senior Investment Data Analyst serves as a key member of the Colby College Investment Office, supporting the management of the College's endowment through advanced investment data management, portfolio analytics, reporting, and technology-driven process improvements.

Reporting to the Chief Investment Officer, this position partners closely with the investment team to develop automated reporting solutions, enhance investment and operational workflows, and deliver meaningful analysis that supports investment decision-making.

The Senior Investment Data Analyst serves as a primary technical resource for investment data and reporting, integrating information across multiple platforms, developing automated workflows and analytical tools, and identifying opportunities to improve processes and data quality. This position exercises a high degree of independent judgment in the execution of assigned responsibilities while working collaboratively with Investment Office leadership, who retain final investment and operational decision-making authority.

The hiring range for this position is $94,000 - $124,800.

Essential Functions

To be successful in this position, an individual should be able to perform the essential duties and bring the education, experience, knowledge, skills, and abilities that support the role. This list of duties is intended to be representative rather than exhaustive, and additional responsibilities may be assigned as needed.

Investment Data Management and Technology
  • Independently design, develop, implement, and continuously improve automated workflows that enhance the collection, organization, integrity, and accessibility of investment data.

  • Manage and integrate data across portfolio management systems, CRM platforms, investment reporting tools, and other technology applications.

  • Develop, maintain and enhance dashboards, reporting tools, and analytical models that improve operational efficiency and investment reporting.

  • Evaluate emerging technologies, automation tools, and artificial intelligence applications, recommending and implementing approved enhancements that improve Investment Office workflows.

  • Serve as the primary technical resource for investment data management, reporting automation, and analytical processes.

Portfolio Analytics and Investment Reporting
  • Own the preparation, maintenance, and continuous enhancement of recurring and ad hoc reports for the Investment Office, Investment Committee, and Board of Trustees.

  • Monitor and analyze portfolio performance through return attribution, exposure analysis, holdings analysis, value creation metrics, benchmarking, and risk assessment.

  • Maintain investment benchmarks, performance databases, and portfolio analytics to ensure accuracy, consistency, and data integrity.

  • Prepare analytical presentations and reporting materials that support portfolio monitoring and strategic investment discussions.

Investment Research and Analysis
  • Independently conduct quantitative and qualitative research on existing investment managers, prospective investment opportunities, and broader market trends.

  • Support investment due diligence through financial analysis, data collection, and research.

  • Complete analytical projects related to portfolio construction, investment strategies, and emerging market opportunities.

  • Present findings and recommendations to Investment Office leadership to support informed investment decisions.

Operational Excellence and Collaboration
  • Lead assigned initiatives that improve investment reporting, operational workflows, and data quality.

  • Identify opportunities to streamline processes and recommend technology-based solutions that improve efficiency and effectiveness.

  • Implement approved process improvements while ensuring appropriate documentation and data governance practices.

  • Collaborate closely with Investment Office leadership to support ongoing operational and analytical initiatives.

  • Provide guidance and technical support to interns and assist with recruiting initiatives as appropriate.

Professional Engagement and Department Support
  • Represent the Investment Office at industry conferences, educational programs, and professional meetings, as appropriate.

  • Maintain expertise in investment technology, financial analytics, automation tools, and industry best practices.

  • Identify opportunities to improve Investment Office reporting, technology utilization, and analytical capabilities through continuous learning and innovation.

Education and/or Experience:

  • Bachelor's degree in Data Science/Analytics, Statistics, Computer Science, Mathematics, Business Analytics, Finance, Economics or a related quantitative field required.

  • Three to five years of progressively responsible experience in investment operations, investment data analytics, financial analysis, business intelligence, or a closely related field.

  • Experience working with investment reporting systems, portfolio management platforms, or financial data environments preferred.

Knowledge, Skills and Abilities:

  • Demonstrated ability to independently manage analytical projects and technical initiatives..

  • Strong experience structuring, analyzing, interpreting, and validating complex datasets.

  • Proficiency in at least one programming language and experience with business intelligence, automation, and data visualization tools.

  • Strong understanding of investment operations, portfolio analytics, financial markets, and investment reporting.

  • Demonstrated ability to identify process improvement opportunities and implement technical solutions with minimal day to day direction.

  • Excellent analytical, quantitative, and problem solving skills.

  • Strong project management and organizational skills with exceptional attention to detail.

  • Excellent written, verbal, and interpersonal communication skills.

  • Ability to effectively balance independent work with collaboration across a small, high-performing team.

  • Demonstrated initiative, intellectual curiosity, professionalism, integrity, sound judgment, and discretion in handling confidential information.

Physical/Mental Demands

The physical demands and work environment characteristics described herein are representative of those that must be met by an employee to successfully perform essential functions of this position and/or may be encountered while performing essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • To perform this role effectively, an employee is expected to treat all data and documents in a confidential and professional manner.

  • This position involves working with a variety of timelines, including some that require quick turnaround and responsiveness to urgent needs.

  • In this role, the employee will interact with other Colby staff as well as outside constituents. Presenting oneself in a professional, respectful, collaborative and thoughtful manner at all times is an important part of the role.

  • This position includes movement throughout office spaces, hallways, and meeting rooms.

  • Daily work will involve extended use of a computer, including keyboard and mouse

  • Vision requirements for this position include the ability to see clearly at close and far distances and to adjust focus as needed.

  • The work environment is dynamic and engaging, often involving multiple tasks and projects that require shifting focus and strong organizational skills..

  • The noise level is generally moderate.

Colby College supports the Americans with Disabilities Act and is committed to providing reasonable accommodations to enable individuals with disabilities to perform the essential functions of the position.

To Apply:

Interested candidates should apply electronically by clicking the "Apply Now" button on the Colby College website. Please upload a cover letter and resume to your application.