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Manager Data Analytics Engineer Jobs in Jasper, AL

Data, Analytics & AI Engineer

Birmingham, AL

$107K - $128K/yr

Data, Analytics & AI Engineer Help Build the Future of Data, Analytics & AI Are you passionate ... Develop and manage curated data models in Azure SQL while helping migrate to Microsoft Fabric ...

Data Engineer - Manager

Birmingham, AL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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.

Data Engineer - Senior Manager

Birmingham, AL

$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 ...

Data Engineer - Senior Associate

Birmingham, AL

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data Analyst

Birmingham, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... oriented Data Analytics Analyst I to support the management, integration, and optimization of ... Bachelor's degree in Engineering, Business, Computer Science, Data Science, Information Systems, or ...

Data Strategy-Manager

Birmingham, AL

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Governance- Manager

Birmingham, AL

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

GenAI Python Systems Engineer -Senior Manager

Birmingham, AL

$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 ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

  • Medical

  • Retirement

  • PTO

... analysis, and business intelligence needs. • Designs and manages data security frameworks ... developers and data scientists to support advanced analytics and AI initiatives. • Ensures ...

Data Engineer, Finance

Birmingham, AL

$107K - $128K/yr

  • Medical

  • Retirement

  • PTO

... analysis, and business intelligence needs. Designs and manages data security frameworks, including ... Collaborate with software developers and data scientists to support advanced analytics and AI ...

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Showing results 1-20

Manager Data Analytics Engineer information

See Jasper, AL salary details

$39.3K

$114.6K

$156.8K

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

As of Aug 18, 2026, the average yearly pay for manager data analytics engineer in Jasper, AL is $114,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $121,500.00 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 job categories do people searching Manager Data Analytics Engineer jobs in Jasper, AL look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Jasper, AL are:

What cities near Jasper, AL are hiring for Manager Data Analytics Engineer jobs?

Cities near Jasper, AL with the most Manager Data Analytics Engineer job openings:

Data, Analytics & AI Engineer

Deploy

Birmingham, AL

$107K - $128K/yr

Full-time

Re-posted 12 days ago


Job description

Data, Analytics & AI Engineer

Help Build the Future of Data, Analytics & AI

Are you passionate about data engineering, analytics, and artificial intelligence?

Do you love solving complex business problems while working with cutting-edge technology?

If so, this is an opportunity to make a real impact.

Our client is looking for a Data, Analytics & AI Engineer to help design, build, and evolve a modern enterprise data platform.

This is a highly visible, hands-on role where you'll work at the intersection of data engineering, business intelligence, analytics, and AI, creating intelligent solutions that drive smarter decisions and automate business processes across the organization.

You'll help build scalable data pipelines, develop powerful analytics, and create AI-enabled and agentic workflows that improve efficiency, generate insights, and transform how the business operates. You'll also play a key role in the organization's exciting transition to Microsoft Fabric, helping shape the future of its data ecosystem.

If you're someone who enjoys building things, learning new technologies, and bringing AI into real-world business applications, we'd love to talk to you.

What You'll Do

Build Modern Data Platforms

Design, build, and maintain scalable data pipelines using Azure Data Factory and Boomi.

Integrate data from ERP, EHS, operational, and enterprise systems.

Develop and manage curated data models in Azure SQL while helping migrate to Microsoft Fabric Lakehouse and Warehouse architectures.

Ensure high levels of data quality, performance, governance, and reliability.

Help establish best practices and architecture standards for the next generation data platform.

Deliver Powerful Analytics

Build interactive dashboards, semantic models, and reports using Power BI.

Partner with business leaders to translate business questions into actionable KPIs and analytics.

Enable self-service reporting through well-designed datasets and documentation.

Turn raw data into meaningful business insights.

Drive AI Innovation

Design, prototype, and deploy AI and Machine Learning solutions.

Build intelligent workflows that automate multi-step business processes using AI and agentic technologies.

Leverage Azure AI services and Microsoft Fabric capabilities including notebooks, machine learning, and real-time analytics.

Champion responsible AI adoption across the organization.

Identify opportunities where AI can improve forecasting, anomaly detection,

classification, automation, and decision-making.

Collaborate Across the Business

Partner with IT, Security, DevOps, and business leaders to deliver secure, scalable solutions.

Work closely with cross-functional teams and affiliate companies on strategic initiatives.

Manage projects with measurable business outcomes and clear success metrics.

Innovate Continuously

Evaluate emerging technologies in data, analytics, and AI.

Recommend improvements that create measurable business value.

Foster a culture of innovation, experimentation, and data-driven decision making.

What We're Looking For

Required Qualifications

Bachelor's degree (or higher) in Computer Science, Data Science, Engineering,

Statistics, Applied Mathematics, or a related field.

Strong experience building enterprise data pipelines using Azure Data Factory, Boomi, or similar integration tools.

Excellent SQL skills with experience designing relational data models.

Experience with Azure SQL Database or similar database technologies.

Hands-on experience building Power BI semantic models, dashboards, and reports.

Programming experience with Python, including notebooks and data engineering workflows.

Practical experience applying AI and Machine Learning to solve real business challenges.

Strong analytical and problem-solving skills.

Ability to communicate technical concepts to both technical and non-technical audiences.

Curious, self-motivated, and excited about learning new technologies.

Bonus Points If You Have

Experience with Microsoft Fabric, including Lakehouse, Warehouse, Notebooks,

Real-Time Analytics, and AI workloads.

Familiarity with agentic AI, workflow orchestration, or intelligent automation platforms.

Experience supporting enterprise data platforms in regulated or security-conscious environments.

Knowledge of modern data architecture, including ELT, semantic layers, governance, and data lineage.

Experience working in large, multi-company, or distributed enterprise environments.

A customer-first mindset with the ability to build strong relationships across the business.

Why You'll Love This Opportunity

Work on meaningful projects using the latest AI and analytics technologies.

Help shape the future of a rapidly evolving enterprise data platform.

Play a key role in an organization's Microsoft Fabric transformation.

Collaborate with talented business and technology leaders.

Build solutions that directly influence strategic business decisions.

Be part of a culture that embraces innovation, experimentation, and continuous learning.

If you're excited about building modern data platforms, leveraging AI to solve real business problems, and making a measurable impact, we'd love to hear from you.