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Manager Data Analytics Engineer Jobs in Alabama (NOW HIRING)

Pwc

Data Engineer - Manager

Birmingham, AL · 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 ...

4pconsultinginc

Data Analytics Analyst 3

Birmingham, AL · On-site

Data Analytics Analyst 3 Location: Birmingham, AL ( HYBRID) Contract- 3 Years Client- Alabama Power ... Partner with project managers, engineers, and finance teams to provide data-driven recommendations.

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 ...

Deckers

Lead the design and delivery of analytics-ready data models and transformation layers using dbt as the standard framework * Establish and enforce dbt development standards, including model design ...

The E Group

Be Seen First

Data Analytics Specialist

Birmingham, AL · On-site

$24 - $26/hr

Data Analytics Analyst 1 Date Posted: 5/27/2026 Location: Birmingham, AL 35203 Immediate W2 ... Our recruiters are experts in knowing what the client manager is looking for in a resume, what bill ...

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Manager Data Analytics Engineer information

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.

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 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 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 the most commonly searched types of Data Analytics Engineer jobs in Alabama? The most popular types of Data Analytics Engineer jobs in Alabama are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Alabama? For Manager Data Analytics Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Alabama look for? The top searched job categories for Manager Data Analytics Engineer jobs in Alabama are:
What cities in Alabama are hiring for Manager Data Analytics Engineer jobs? Cities in Alabama with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Senior Supply Chain Risk Analytics Engineer

Senior Supply Chain Risk Analytics Engineer

QED Analytics Inc

Huntsville, AL • On-site

Full-time

Posted 12 days ago

Job 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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