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Manager Data Analytics Engineer Jobs in Norton, MA

... manage, curate, and analyze the data most relevant to their work. As the Analytics Engineer, you will be focused on maintaining and improving our data pipelines, supporting data systems and analytics ...

... manage, curate, and analyze the data most relevant to their work. As the Analytics Engineer, you will be focused on maintaining and improving our data pipelines, supporting data systems and analytics ...

... manage, curate, and analyze the data most relevant to their work. As the Analytics Engineer, you will be focused on maintaining and improving our data pipelines, supporting data systems and analytics ...

The ideal background is a former data engineer who moved into product management. Technical depth ... Partner with the data analyst and engineering to enable self-service intelligence - the goal is ...

About the Team Data is at the heart of every decision at Klaviyo. Our Analytics Engineering team ... Work closely with Sales Ops, Product Managers, Engineering, Finance, and GTM teams * Repository ...

Data Analytics

Boston, MA · On-site

$146K - $176K/yr

Applying knowledge of data management, data governance, service catalogue, data lineage tools ... or analytics; Demonstrated strong proficiency in SQL; Demonstrated knowledge of data management ...

Data Analytics

Boston, MA

$146K - $176K/yr

Applying knowledge of data management, data governance, service catalogue, data lineage tools ... or analytics; Demonstrated strong proficiency in SQL; Demonstrated knowledge of data management ...

About the Team Data is at the heart of every decision at Klaviyo. Our Analytics Engineering team ... Work closely with Sales Ops, Product Managers, Engineering, Finance, and GTM teams * Repository ...

About the Team Data is at the heart of every decision at Klaviyo. Our Analytics Engineering team ... Work closely with Sales Ops, Product Managers, Engineering, Finance, and GTM teams * Repository ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Collaborate with product managers, analysts, and business partners to ensure data products are intuitive, trusted, and aligned to business definitions. * Lead analytics engineering initiatives from ...

Collaborate with product managers, analysts, and business partners to ensure data products are intuitive, trusted, and aligned to business definitions. * Lead analytics engineering initiatives from ...

Analytics Engineer II

Boston, MA · On-site

$125K - $175K/yr

We are hiring an Analytics Engineer II to join our Analytics Engineering team. This role will focus ... data contracts, and managing database roles and grants. * Apply software engineering best practices ...

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

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Showing results 1-20

Manager Data Analytics Engineer information

See Norton, MA salary details

$45.1K

$131.3K

$179.7K

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

As of Aug 12, 2026, the average yearly pay for manager data analytics engineer in Norton, MA is $131,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,900.00 and $139,200.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What job categories do people searching Manager Data Analytics Engineer jobs in Norton, MA look for? The top searched job categories for Manager Data Analytics Engineer jobs in Norton, MA are:
What cities near Norton, MA are hiring for Manager Data Analytics Engineer jobs? Cities near Norton, MA with the most Manager Data Analytics Engineer job openings:

Manager, Data Analytics and Insights

Fidelity Investments

Boston, MA • On-site

$120K - $141K/yr

Full-time

Re-posted 9 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.
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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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