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Data Analyst Project Manager Jobs in Waterville, ME

Project Manager

Augusta, ME · On-site

$115K/yr

Cost Management - Timecard review, invoicing, project profitability (gross margin analysis, financial status reports) * Schedule Management - Project plans, meetings, assignments * Communication ...

Business Analyst

Augusta, ME · On-site

$78 - $85/mo

You will report directly to the Project Manager. Your main tasks will include detailed requirements ... Highly proficient in using Excel to perform various data analysis tasks. Independently and ...

New

Cost Management - Timecard review, invoicing, project profitability (gross margin analysis, financial status reports) * Schedule Management - Project Plans, meetings, assignments * Communication ...

... data center construction and relocations, substation automation, line sensors) to help enable grid ... analyses * Evaluates and adheres to regulatory and compliance reporting requirements * Manages ...

... data center construction and relocations, substation automation, line sensors) to help enable grid ... analyses * Evaluates and adheres to regulatory and compliance reporting requirements * Manages ...

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Data Analyst Project Manager information

See Waterville, ME salary details

$33.9K

$82.5K

$135.7K

How much do data analyst project manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analyst project manager in Waterville, ME is $82,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,800.00 per year, depending on experience, location, and employer.

How do data analyst project managers balance analytical work with project management responsibilities?

Data Analyst Project Managers often split their time between overseeing project timelines and deliverables, and performing or reviewing data analysis tasks. This dual focus means they must prioritize effective communication and delegation, ensuring that project goals are met while maintaining high standards for data quality and insights. Collaboration with data analysts, stakeholders, and other project managers is essential, as they often facilitate meetings, translate technical findings into actionable recommendations, and resolve obstacles that might affect the project's progress. Successfully managing both aspects requires strong organizational skills and the ability to adapt to shifting priorities.

What are the key skills and qualifications needed to thrive as a data analyst project manager?

To thrive as a Data Analyst Project Manager, you need expertise in data analysis, project management methodologies, and a relevant degree such as in statistics, computer science, or business. Familiarity with data visualization tools (e.g., Tableau, Power BI), project management software (e.g., Jira, Asana), and certifications like PMP or CAPM are often required. Strong communication, problem-solving, and leadership skills help you bridge technical teams and stakeholders while managing timelines and expectations. These abilities ensure that data-driven projects are executed efficiently, deliver actionable insights, and meet organizational goals.

What is the difference between Data Analyst Project Manager vs Data Analyst?

AspectData Analyst Project ManagerData Analyst
Primary RoleOversees data projects, manages teams, and ensures project deliveryAnalyzes data, creates reports, and provides insights
Required SkillsProject management, data analysis, communicationData analysis, statistical skills, visualization
CertificationsPM certifications (e.g., PMP), data analysis toolsData analysis certifications (e.g., Microsoft, SAS)
Work EnvironmentProject teams, cross-functional collaborationData-focused teams, analytics departments

The main difference is that a Data Analyst Project Manager combines project management with data analysis skills to lead data initiatives, while a Data Analyst primarily focuses on analyzing data and generating insights. The Project Manager role involves overseeing projects from start to finish, coordinating teams, and ensuring timely delivery, whereas the Data Analyst role centers on data interpretation and reporting.

Can a data analyst be a project manager?

A data analyst can transition into a project management role if they develop skills in leadership, planning, and communication, often supported by certifications like PMP or Agile. While the roles have different core focuses, combining analytical expertise with project management skills can enable a data analyst to effectively lead projects involving data-driven initiatives.

Who earns more, a data analyst or a data analyst project manager?

Data analyst project managers typically earn higher salaries than data analysts due to their additional responsibilities in overseeing projects, managing teams, and strategic planning. Salary differences also depend on experience, industry, and certifications like PMP or advanced analytics skills, with project managers often earning a premium for leadership roles.

What job categories do people searching Data Analyst Project Manager jobs in Waterville, ME look for?

The top searched job categories for Data Analyst Project Manager jobs in Waterville, ME are:

What cities near Waterville, ME are hiring for Data Analyst Project Manager jobs?

Cities near Waterville, ME with the most Data Analyst Project Manager job openings:

Infographic showing various Data Analyst Project Manager job openings in Waterville, ME as of June 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $82,486 per year, or $39.7 per hour.

Senior Investment Data Analyst (Boston, MA)

Colby College

Waterville, ME • On-site

$120 - $160/hr

Other

Re-posted 24 days ago


Colby College rating

7.2

Company rating: 7.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

390th of 631 rated colleges and universities


Job description

Job Summary

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

Essential FunctionsInvestment 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 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. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The role requires working with a variety of timelines, including some that require quick turnaround and responsiveness to urgent needs. The employee is expected to treat all data and documents in a confidential and professional manner, interact with other Colby staff and outside constituents, present oneself in a professional, respectful, collaborative and thoughtful manner at all times, and use a computer extensively. Vision requirements include ability to see clearly at close and far distances and to adjust focus as needed. The environment is dynamic with moderate noise levels. 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.

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