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Data Analysis Manager Jobs in Boston, MA (NOW HIRING)

Emerson College

Data Analyst, Enrollment Management

Boston, MA · On-site

  • Medical

  • Dental

  • Life

  • Retirement

The Enrollment Management Data Analyst will support the Enrollment Division's data and reporting ... Conduct predictive modeling for yield rates and statistical analysis to forecast enrollment trends ...

Reachdesk Ltd

FP&A Manager

Boston, MA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

FP&A Manager United States (Remote) About Us Reachdesk is the first truly end-to-end SaaS global ... This is a modern, data-driven FP&A seat. Alongside owning planning, forecasting, and the ...

Digital Links Inc

Data Analyst

Canton, MA · Remote

... and data-management technologies. Key Responsibilities * Partner with business stakeholders and technical teams to understand data and reporting requirements. * Perform functional analysis, gap ...

IndSoft Inc

Data Analyst

Framingham, MA

Company Description Founded in 1998 and managed by a visionary who has a very strong technical ... Data analysis as per requirements from team members to ensure that processed data is readily ...

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All JobsData Analysis JobsData Analysis Manager JobsData Analysis Manager Jobs in Boston, MA

Data Analysis Manager information

See Boston, MA salary details

$24.4K

$96.3K

$156.4K

How much do data analysis manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analysis manager in Boston, MA is $96,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,700.00 and $117,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

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

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Boston, MA?

The most popular types of Data Analysis jobs in Boston, MA are:

What are popular job titles related to Data Analysis Manager jobs in Boston, MA?

For Data Analysis Manager jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Data Analysis Manager jobs in Boston, MA look for?

The top searched job categories for Data Analysis Manager jobs in Boston, MA are:

What cities near Boston, MA are hiring for Data Analysis Manager jobs?

Cities near Boston, MA with the most Data Analysis Manager job openings:

Data Analysis Manager jobs near you
Infographic showing various Data Analysis Manager job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $96,320 per year, or $46.3 per hour.

Manager, Data Analytics and Insights

Fidelity Investments

Boston, MA • On-site

$120K - $141K/yr

Full-time

Re-posted 13 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services

Job description


Position Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Improves the quality and time-to-market of research initiatives for equities, fixed income, and alternative
investments, using quantitative techniques and methods -- advanced econometrics and statistics (probabilities, linear regressions, and time series data analysis). Develops analytical solutions that improve the investment process using Python, R, and SQL. Organizes and analyzes data, using SQL and Python. Performs data analysis and research via SQL and R. Identifies data issues, performs root cause analysis, and implements resolutions to improve data quality.
Primary Responsibilities:
  • Applies advanced analytics and quantitative concepts to support investment research.
  • Analyzes financial data to perform portfolio construction and alpha generation research.
  • Supports daily operations and detailed data analysis.
  • Identifies and resolves data issues, and answers helpdesk queries.
  • Works with vendors and business partners across the organization.
  • Interprets and acts on data results.
  • Brainstorms with the team on solutions to address challenges and roadblocks.
  • Processes daily operational tasks and helpdesk requests from consumers.
  • Assists in documentation and transition of new areas of work, while maintaining and updating procedural documents.
  • Proposes process enhancements.
  • Monitors the helpdesk queue and assists in logging incidents.
  • Raises issues to management as appropriate for resolution.
  • Participates in data management projects and initiatives that aim to improve data quality.
  • Assists in defining and executing test plans and supporting user acceptance testing for process enhancements.
  • Interprets results of financial analysis procedures.
  • Defines or recommends model specifications, or data collection methods.
  • Collaborates in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.

Education and Experience:
Bachelor's degree in Finance, Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Manager, Data Analytics and Insights (or closely related occupation) performing managed account data operations within a financial services environment.
Or, alternatively, Master's degree in Finance, Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Manager, Data Analytics and Insights (or closely related occupation) performing managed account data operations within a financial services environment.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") maintaining accounts and supporting financial instrument data management operations within the financial services industry, using advanced VBA, SQL, and Python; and processing tasks and exceptions through advance software to process time-sensitive workflows and resolve rule-based outlier exceptions across financial instruments -- 40 Act mutual funds, customized funds, private equity, exchange-traded funds, broader market indices, customized indices, models, composites and common stocks-- in both U.S. and international markets.
  • DE working with performance and attribution engine systems and return calculation methodologies; analyzing model and composite return data for senior management reporting; executing fund setup and integrating holdings data for 40 Act and customized funds into FactSet, Style Research, and Bloomberg; and sourcing and analyzing financial instruments returns using Morningstar and Bloomberg applications.
  • DE designing robust data analysis templates for data quality validation and conducting advanced analyses, using VBA, SQL and Python to support investments management processes; building quantitative tools to deliver actionable insights on the performance of models, composites, and managed accounts; and identifying key drivers of anomalies by generating data-driven insights using SQL and Python.
  • DE identifying anomalies in enterprise financial data, ensuring the integrity and quality required for comprehensive analysis, using advanced rule-based techniques; developing robust SQL queries to support comprehensive data analytics; and transforming and analyzing complex datasets to empower stakeholders to make informed data-driven investment decisions, using advanced VBA, SQL and Python.

Salary: $120,000.00 to $141,000.00/year.
#PE1M2
#LI-DNI
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Business Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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