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Manager Data Analytics Engineer Jobs in Springfield, MA

Pwc

Data Engineer - Senior Manager

Hartford, CT

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

ExlService Holdings, Inc.

Lead Assistant Manager

Hartford, CT · On-site

$41K - $52K/yr

We are seeking a Data Analytics Engineer with strong expertise in Python, SQL, and Google Cloud Platform (GCP) to design, develop, and maintain scalable data pipelines and analytics solutions. The ...

ExlService Holdings, Inc.

Lead Assistant Manager

Hartford, CT · On-site

$41K - $52K/yr

We are seeking a Data Analytics Engineer with strong expertise in Python, SQL, and Google Cloud Platform (GCP) to design, develop, and maintain scalable data pipelines and analytics solutions. The ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Springfield, MA

Manager Data Analytics Engineer information

See Springfield, MA salary details

$44.3K

$129.3K

$176.9K

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

As of Aug 19, 2026, the average yearly pay for manager data analytics engineer in Springfield, MA is $129,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,000.00 per year, depending on experience, location, and employer.

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.

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 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.

What are popular job titles related to Manager Data Analytics Engineer jobs in Springfield, MA?

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

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

The top searched job categories for Manager Data Analytics Engineer jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Manager Data Analytics Engineer jobs?

Cities near Springfield, MA with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you

Senior Product Manager - Data Analytics & Cloud Platform

Neshent Technologies

East Hartford, CT • On-site

$124K - $164K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Roles & Responsibilities
  • Own the vision, strategy, roadmap, and lifecycle of enterprise data products.
  • Serve as the Product Owner and subject matter expert for Cloud Analytics initiatives.
  • Partner with business stakeholders, engineering teams, and leadership to define product requirements and priorities.
  • Manage and prioritize the product backlog, ensuring alignment with business objectives.
  • Create and refine user stories, acceptance criteria, and sprint priorities for Agile delivery teams.
  • Drive the design, implementation, enhancement, and sustainment of data products.
  • Collaborate with Scrum teams to deliver high-quality analytics and data integration solutions.
  • Act as the voice of customers and business stakeholders, ensuring product decisions deliver maximum value.
  • Monitor product performance, identify improvement opportunities, and drive continuous innovation.
  • Facilitate Agile ceremonies and ensure successful execution of Scrum and SAFe practices.
  • Communicate product roadmap, progress, risks, and outcomes to leadership and key stakeholders.
  • Support continuous improvement initiatives and promote best practices in Agile product management.
Required Technical/Functional Skills
  • 10+ years of experience in Product Management, Product Ownership, or Business Analysis within enterprise IT environments.
  • Proven experience managing Cloud Analytics, Data Analytics, or Data Platform products.
  • Strong understanding of data analytics, data science, and data integration concepts.
  • Experience defining product vision, strategy, roadmap, and execution for enterprise data products.
  • Hands-on experience with Agile methodologies, including Scrum and SAFe.
  • Strong experience managing product backlogs, user stories, acceptance criteria, and release planning.
  • Proficiency with Jira, Confluence, Microsoft Visio, Whiteboard, and PowerPoint.
  • Excellent stakeholder management, communication, analytical, and problem-solving skills.
Preferred Skills
  • Experience working in Claims, Insurance, Consumer, or Leave Management domains.
  • Knowledge of Cloud Analytics platforms, Data Warehousing, and Data Integration solutions.
  • Experience collaborating with cross-functional engineering, analytics, and business teams.
  • Ability to translate business needs into scalable data product solutions.

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