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Senior Manager Data Analytics Jobs in Augusta, ME

The Manager, Member Services supports the Senior Manager, Member Services in leading the end-to-end ... analyzing data and figures, viewing a computer terminal, and extensive reading. The employee is ...

Analytics and Reporting

Augusta, ME · On-site

$70K - $100K/yr

Support the Sr. Manager of Cyber Operations to assure a stable and secure production environment ... Define and compile data and metrics to provide reportable information to communicate the status of ...

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Senior Manager Data Analytics information

See Augusta, ME salary details

$44.6K

$113.3K

$166.8K

How much do senior manager data analytics jobs pay per year?

As of Aug 28, 2026, the average yearly pay for senior manager data analytics in Augusta, ME is $113,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,600.00 and $133,700.00 per year, depending on experience, location, and employer.

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

What are the key skills and qualifications needed to thrive as a senior manager data analytics?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

What is the difference between Senior Manager Data Analytics vs Data Analyst?

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Augusta, ME?

For Senior Manager Data Analytics jobs in Augusta, ME, the most frequently searched job titles are:

What job categories do people searching Senior Manager Data Analytics jobs in Augusta, ME look for?

The top searched job categories for Senior Manager Data Analytics jobs in Augusta, ME are:

What cities near Augusta, ME are hiring for Senior Manager Data Analytics jobs?

Cities near Augusta, ME with the most Senior Manager Data Analytics job openings:

Senior Investment Data Analyst (Boston, MA)

Waterville, ME

$85K - $108K/yr

Full-time

Re-posted 15 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.