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Manager Data Analytics Engineer Jobs in Manchester, NH

They are seeking a Senior Analytics Engineer to work on developing data infrastructure and ... source management, build processes, testing, and operations. • Streaming or NRT modeling ...

Partner with Data Scientists and business stakeholders to understand analytical needs and translate ... management, build processes, testing, and operations. * Streaming or NRT modeling experience.

Partner with Data Scientists and business stakeholders to understand analytical needs and translate ... management, build processes, testing, and operations. * Streaming or NRT modeling experience.

Data Engineer

Nashua, NH · On-site

$115K - $138K/yr

Data Engineer Location: Nashua NH The Data Engineer will support the Information Systems Lead by ... deployment management, testing, monitoring, and documentation preferred. * Strong analytical ...

Eng Sr Prin - SW

Nashua, NH · On-site

$132K - $226K/yr

Job Summary As a Senior Principal Data Analytics Engineer at BAE Systems , you will occupy a ... Experience managing data within Postgres, Snowflake, MySQL or similar relational databases ...

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Manager Data Analytics Engineer information

See Manchester, NH salary details

$44.3K

$129.2K

$176.7K

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

As of Aug 6, 2026, the average yearly pay for manager data analytics engineer in Manchester, NH is $129,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $136,900.00 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 Manchester, NH? For Manager Data Analytics Engineer jobs in Manchester, NH, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Manchester, NH look for? The top searched job categories for Manager Data Analytics Engineer jobs in Manchester, NH are:
What cities near Manchester, NH are hiring for Manager Data Analytics Engineer jobs? Cities near Manchester, NH with the most Manager Data Analytics Engineer job openings:

Senior Manager, Data Analytics & Insights

Fidelity Investments

Merrimack, NH • On-site

Full-time

Re-posted 4 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

Job Description:

Note: Fidelity will not provide immigration sponsorship for this
position.

The Role

The Senior Manager, Data Analytics & Insights, plays a critical role in strengthening how Procurement and Vendor Management leverage data to engage external suppliers, business partners, and internal stakeholders. This role helps enable more informed, data-driven decisions across Vendor Management by translating complex information into actionable insights.

The role is responsible for detailed analytics, decision-support analyses, and the development of a broad range of technical and analytical solutions for diverse audiences, from operational teams to senior leadership. The Sr. Manager exercises independent judgment in selecting data inputs, determining analytical approaches, interpreting results, and shaping information strategies that support recommendations.

In addition to delivering analytics and insights, this role serves as a key steward of the Vendor Management data and technology ecosystem. The Sr. Manager helps ensure the reliability, scalability, governance, and ongoing operation of analytics platforms by partnering with technology teams, managing data access and governance processes, supporting data architecture initiatives, and driving automation and data curation capabilities that enable trusted, self-service analytics across the organization.

This position requires a high degree of autonomy. The Senior Manager independently identifies and validates data sources, evaluates scenarios, develops data and market perspectives, and delivers both concise executive summaries and deeper analytical insights. Success in the role depends on proactive engagement, strong communication skills, and the ability to continuously contribute value-adding insights that influence outcomes and improve how Vendor Management operates.

The Expertise & Skills You Bring

Analytics & Insights

  • Apply advanced analytics, reporting, and visualization techniques to uncover insights, identify opportunities, and drive measurable business outcomes.
  • Use data visualization and storytelling to communicate complex findings and influence decision-making across Vendor Management and senior leadership.
  • Utilize SQL and relational database technologies to acquire, transform, analyze, and validate data from diverse sources.
  • Develop and manage enterprise data sources, semantic layers, and reporting assets that support Tableau, Power BI, and self-service analytics.
  • Leverage Snowflake, Tableau, Power BI, Power Apps, SQL, and related technologies to deliver scalable analytics solutions and business value.
  • Partner with business stakeholders to translate requirements into actionable insights, scalable reporting solutions, and data-driven recommendations.

Data Platform, Governance & Technology Management

  • Serve as a liaison between business stakeholders, technology teams, and data providers to drive platform enhancements, resolve issues, and support analytics delivery.
  • Own Technology Management Lifecycle (TML) responsibilities for the analytics ecosystem, ensuring platform reliability, governance, operational support, and continuous improvement.
  • Oversee data governance, data stewardship, data curation, and data-sharing processes to ensure trusted, accessible, and business-ready data assets.
  • Establish and apply data management, security, and access governance practices that strengthen data quality, compliance, and appropriate use of information.
  • Build and maintain data pipelines, ETL processes, curated datasets, and reusable data assets that enable efficient reporting and self-service analytics.
  • Partner with architecture, engineering, and support teams to maintain and support analytics infrastructure, prioritize enhancements, manage backlogs, and ensure the stability and scalability of data platforms.
The Team

The team delivers insights through advanced analytics, visualization, and data storytelling in support of Vendor Management's objectives, including cost savings, risk mitigation, process efficiency, and execution of key initiatives. The sr. Manager partners closely with Vendor Management leaders and cross-functional teams to ensure analytics are aligned with business priorities and effectively support strategic planning and execution.

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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