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Manager Data Analytics Engineer Jobs in Springfield, MA

Lancesoft

Data Analytics Engineer

Springfield, MA · On-site

$80 - $85/hr

... management, threat exposure, control effectiveness, and risk insights. * Work directly with data ... G., Claude, codegeneration tools, AIaugmented analysis) to accelerate engineering, insight ...

Pwc

Data Engineer - Manager

Hartford, CT · On-site

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 ...

Reconomy

Manager, Business Data & Analytics

Windsor, CT · On-site +1

$100K - $125K/yr

Manager, Business Data & Analytics Application Deadline: 30 July 2026 Department: Change ... Bachelor's degree in Data Analytics, Business, Finance, Engineering, or a related field. * 3-6 ...

Pwc

Data Engineer - Senior Manager

Hartford, CT

$124K - $280K/yr

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 ...

IQVIA

Data Analytics Analyst II

Hartford, CT · Remote

$56K - $140K/yr

Data Analytics Analyst II The Analytics team within IQVIA's Patient Access & Support Services (PASS ... Contributing to internal brainstorming sessions and collaborating with account management team ...

Pwc

Data Engineer - Senior Associate

Hartford, CT · On-site

$77K - $202K/yr

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

Pwc

Data Engineer - Senior Associate

Hartford, CT

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

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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 Jul 30, 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 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 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

Data Analytics Engineer

Lancesoft

Springfield, MA • On-site

$80 - $85/hr

Temporary

Posted 8 days ago

Job description


Key responsibilities include:
  • Partner with Cybersecurity leaders, risk stakeholders, and nonCyber teams to define and deliver datadriven Cyber use cases, aligned to enterprise risk priorities and frameworks (e.G., NIST CSF).
  • Leverage scalable data pipelines, models, and architectures that enable Cyber analytics, AI, reporting, and advanced use cases across vulnerability management, threat exposure, control effectiveness, and risk insights.
  • Work directly with data owners and platform teams to ingest, transform, normalize, and model security and IT datasets, ensuring data quality, lineage, and trust.
  • Develop and operationalize analytics products including executive dashboards, strategic metrics, and operational reporting for leadership, governance forums, and frontline Cyber teams.
  • Prototype and productionize integrations across Cyber tools and enterprise data platforms, partnering closely with data engineering and architecture teams to ensure sustainability, performance, and supportability.
  • Apply advanced analytics, data modeling, and automation techniques to translate raw Cyber telemetry into actionable outcomes, risk indicators, and decision support.
  • Leverage AIassisted development and analytics workflows (e.G., Claude, codegeneration tools, AIaugmented analysis) to accelerate engineering, insight generation, and experimentationwhile operating within established security and data governance controls.
  • Translate complex technical findings into clear, consumable narratives for executive and nontechnical stakeholders, connecting analytics outputs directly to Cyber risk, business impact, and outcomes.
  • Serve as a thought partner and technical advisor, helping shape the Cyber data strategy, architecture direction, and futurestate analytics capabilities.
Minimum Qualifications:
  • Bachelor's degree in a relevant field (e.G., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience).
  • 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep handson experience in data engineering, analytics, or data architecture.
  • Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns.
  • Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies.
  • Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.G., vulnerabilities, threats, controls, risk).
  • Strong coding proficiency (e.G., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases.
  • Experience collaborating closely with data engineering, platform, and architecture teams to ensure longterm operability and support.
Preferred Qualifications:
  • Cybersecurity certifications (e.G., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience).
  • Demonstrated experience applying advanced analytics techniques (e.G., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems.
  • Experience incorporating or experimenting with AIenabled analytics or development tools (e.G., Claude, AI code assistants, agentbased analytics) in a secure enterprise environment.
  • Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices.
  • Strong proficiency with data visualization and BI tools (e.G., Tableau, Power BI) to deliver executiveready, actionable insights.
  • Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE ATT&CK.
  • Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms.
  • Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities.
  • Track record of leading or delivering endtoend data and analytics initiatives that materially improved Cyber risk management, visibility, or decisionmaking.
  • Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and nontechnical audiences.
Education:
  • Bachelor's degree

Meet Your Recruiter
Rahul Rana-Amar
LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

Social media

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