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Senior Manager Data Analytics Jobs in Boston, MA

Purple Carrot

Senior Data Analyst

Dedham, MA · Hybrid

$95K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an integral part of the Data department, you will join forces with the Sr. Manager, Data and Analytics (to whom you will also report) in our continued effort to inspire people to eat more plants!

Purple Carrot

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an integral part of the Data department, you will join forces with the Sr. Manager, Data and Analytics (to whom you will also report) in our continued effort to inspire people to eat more plants!

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All JobsData Analytics JobsSenior Manager Data Analytics JobsSenior Manager Data Analytics Jobs in Boston, MA

Senior Manager Data Analytics information

See Boston, MA salary details

$48.9K

$124.4K

$183.1K

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

As of Aug 14, 2026, the average yearly pay for senior manager data analytics in Boston, MA is $124,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $146,700.00 per year, depending on experience, location, and employer.

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.

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.

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 Boston, MA?

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

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

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

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

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

Senior Manager Data Analytics jobs near you
Infographic showing various Senior Manager Data Analytics 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 $124,363 per year, or $59.8 per hour.

Senior Manager, Data Analytics and Insights

Fidelity Investments

Boston, MA • On-site

$131K - $166K/yr

Full-time

Posted 3 days ago

New

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


Note: Fidelity will not provide immigration sponsorship for this position.
Position Description:
Analyzes and builds equity datasets and analytical outputs used across quantitative research, risk modeling, and performance attribution. Calculates and applies a broad range of equity analytics, including portfolio risk, return attribution, EPS, fundamental ratings, and fundamental equity factors, across granular and aggregated analytical layers. Maintains complex SQL-based transformations, analytical datasets, and factor-model components that serve as foundational inputs to quantitative research and performance attribution algorithms. Develops diagnostic routines, data-profiling scripts, and integrity checks to monitor computational accuracy, detect anomalies, and ensure deterministic analytical outputs across distributed systems. Implements and evolves data domains, model enhancements, and analytical capabilities by architecting ingestion frameworks, integrating vendor datasets, and optimizing storage and computer environments for high-volume model execution.
Primary Responsibilities:
  • Performs end-to-end reporting and analytics operations, ensuring timely, accurate, and reliable delivery of daily, weekly, monthly, and ad-hoc analytical outputs across key business areas.
  • Ensures data availability, quality, and process stability, monitoring inputs, workflows, and analytical outputs to maintain high standards of data integrity and reporting accuracy.
  • Responds to complex, ad-hoc analytical requests, providing data-driven insights and support for strategic initiatives, research projects, and leadership priorities.
  • Develops and enhances analytical tools, dashboards, and visualizations to communicate trends, business drivers, and performance insights to a wide range of stakeholders.
  • Designs, improves, and automates data and analytical processes, including developing new calculations, identifying data anomalies, and creating new reporting capabilities.
  • Participates in multiple concurrent projects, assists with planning, prioritization, resource co-ordination, risk assessment, and timely delivery in a fast-paced environment.
  • Acts as a primary liaison across business partners, technology teams, research groups, and external vendors, ensuring alignment and clear communication throughout the analytics ecosystem.
  • Troubleshoots and resolves data or technology issues, ensuring continuity in analytical pro-duction and delivery of high-quality outputs.
  • Provides analytical and technical guidance to senior leadership, contributing to strategic planning materials, prototypes, and recommendations.
  • Mentors and develops junior team members.

Education and Experience:
Bachelor's degree in Finance, Economics, Business Analytics, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) performing portfolio risk, return attribution, and equity and data analytics.
Or, alternatively, Master's degree in Finance, Economics, Business Analytics, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) performing portfolio risk, return attribution, and equity and data analytics.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise (DE) performing quantitative investment research and financial data analysis, including constructing and analyzing security- and portfolio-level datasets; and analyzes and structures earnings-per-share estimates, and analyst forecasts, returns, and active weights, using Python, R, and SQL.
  • DE conducting portfolio performance attribution and risk analysis, including Brinson attribution, decomposition of portfolio returns, evaluation of benchmark-relative performance, analysis of factor exposures and sensitivities, and measurement of portfolio-level risk metrics (tracking error and beta), using Python, SQL, FactSet Portfolio Analysis Tool, and Barra Portfolio Manager.
  • DE designing, developing, and implementing advanced analytical tools, data pipelines, and multi-factor models to support stock selections and investment decision making, including data modeling, automation of recurring calculations, validation of inputs and outputs, and building interactive dashboards and visualizations using Python, SQL, Tableau, and Excel.
  • DE sourcing, validating, and integrating market, fundamental, and reference data to support in-vestment and risk analysis, including working with equity and portfolio datasets, reconciling vendor data, and ensuring data quality and consistency using Bloomberg and FactSet platforms.

Salary: $131,225.00 to $166,000.00/year.
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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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