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Manager Data Analytics Engineer Jobs in Huntsville, AL

Peraton

Data and Analytics Engineer

Huntsville, AL · On-site

$80K - $128K/yr

Responsibilities The Project Management Office for Aircraft Survivability Equipment (PMO ASE) is seeking a highly motivated and analytical Data and Analytics Engineer. This role is critical to the ...

Peraton

Data and Analytics Engineer

Huntsville, AL · On-site

$80K - $128K/yr

Responsibilities The Project Management Office for Aircraft Survivability Equipment (PMO ASE) is seeking a highly motivated and analytical Data and Analytics Engineer. This role is critical to the ...

Peraton

Data and Analytics Engineer

Huntsville, AL · On-site

$80K - $128K/yr

Responsibilities The Project Management Office for Aircraft Survivability Equipment (PMO ASE) is seeking a highly motivated and analytical Data and Analytics Engineer. This role is critical to the ...

Trideum Corporation

Analytics Engineer

Huntsville, AL · On-site

Analytics Engineer Full-time Huntsville, AL About Us Trideum Corporation is a 100% employee-owned ... and data management platforms like ADVANA, Palantir Foundry, Databricks, Snowflake, and Azure ...

Trideum

Analytics Engineer

Huntsville, AL

Analytics Engineer Full-time Huntsville, AL About Us Trideum Corporation is a 100% employee-owned ... and data management platforms like ADVANA, Palantir Foundry, Databricks, Snowflake, and Azure ...

IGNITE

DATA ENGINEER/DATA ANALYST

Huntsville, AL · On-site

Work Experience, Knowledge, Skills, and Abilities • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Management Information Systems, Data Analytics, or a related field ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Huntsville, AL

Manager Data Analytics Engineer information

See Huntsville, AL salary details

$43.8K

$127.8K

$174.9K

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

As of Aug 11, 2026, the average yearly pay for manager data analytics engineer in Huntsville, AL is $127,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 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 Huntsville, AL? For Manager Data Analytics Engineer jobs in Huntsville, AL, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Huntsville, AL look for? The top searched job categories for Manager Data Analytics Engineer jobs in Huntsville, AL are:
What cities near Huntsville, AL are hiring for Manager Data Analytics Engineer jobs? Cities near Huntsville, AL with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you

Senior Supply Chain Risk Analytics Engineer

QED Analytics Inc

Huntsville, AL • On-site

Full-time

Re-posted 25 days ago

Job description

Description

Senior Supply Chain Risk Analytics Engineer / Analyst


Overview


We are seeking a highly skilled Senior Supply Chain Risk Assessment Engineer / Analyst to support the development, enhancement, and operation of a government-focused supply chain risk assessment capability. This role blends data analytics, system architecting, risk analysis, and stakeholder collaboration in a secure, mission-focused environment.


Key Responsibilities

Supply Chain Risk Analytics & Domain Expertise:

- Analyze defense industrial base and supply chain risk across foreign influence, cyber vulnerability, and financial security.

- Apply structured risk management principles and communicate findings and data limitations.

Data Management & ETL:

- Lead ETL efforts that integrate government and commercial datasets.

- Ensure data quality, traceability, and proper handling of sensitive information.

System Architecture & Platform Migration:

- Support design and evolution of government-developed analytics tools.

- Support migration to enterprise analytics platforms.

Visualization & Reporting:

- Develop dashboards, geo-maps, and supply chain visualizations.

- Produce standardized analytical reports and data exports.

Required Qualifications

- Bachelor's degree in engineering, data science, computer science, or related field.

- Proficiency in data analytics software (Excel, Access, Power BI).

- Significant experience in supply chain risk assessment and data analytics, including company and industry analysis.

- Experience working in government or defense environments.

- Active SECRET clearance or ability to be granted an Interim SECRET within 30 days.

Preferred Qualifications

- Advanced degree strongly preferred.

- Programming experience (Python, C++, R, etc)

- Familiarity with use of AI for research and software coding.

- TS clearance or ability to be granted a TS clearance.

Soft Skills

- Strong analytical and communication skills.

- Ability to work with ambiguous data and complex stakeholder environments.

- Self-starter who seeks innovative solutions to new and evolving problems.

Requirements

Required Qualifications

- Bachelor's degree in engineering, data science, computer science, or related field.

- Proficiency in data analytics software (Excel, Access, Power BI).

- Significant experience in supply chain risk assessment and data analytics, including company and industry analysis.

- Experience working in government or defense environments.

- Active SECRET clearance or ability to be granted an Interim SECRET within 30 days.

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