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Data Analyst Jobs in Augusta, ME (NOW HIRING)

Data Analyst information

See Augusta, ME salary details

$33.7K

$81.8K

$134.6K

How much do data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analyst in Augusta, ME is $81,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Augusta, ME?

The most popular types of Data Analyst jobs in Augusta, ME are:

What job categories do people searching Data Analyst jobs in Augusta, ME look for?

The top searched job categories for Data Analyst jobs in Augusta, ME are:

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

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

Infographic showing various Data Analyst job openings in Augusta, ME as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $81,819 per year, or $39.3 per hour.

Senior Investment Data Analyst (Boston, MA)

Colby

Waterville, ME โ€ข On-site

$85K - $108K/yr

Full-time

Re-posted 21 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.