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Junior Data Analytics Engineer Jobs in Alabama (NOW HIRING)

Data Analytics Analyst 1

Birmingham, AL · On-site

$27.75 - $29.75/hr

Gather equipment-related information from engineering documents, project teams, plant personnel ... Data Analytics & Technical Analysis * Perform daily analysis of technical and operational data.

Job Title DATA ENGINEER/DATA ANALYST Location Huntsville, AL US (Primary) Category Engineering Job ... advanced analytics, and programmatic domains. As an employee-owned SDVOSB headquartered in ...

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

... analysts, and engineering teams. * Validate model performance and optimize algorithms for production. * Present technical findings and recommendations to business stakeholders. * Mentor junior data ...

Principal Data Scientist - FCAS

Birmingham, AL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... of junior data scientists and analysts. As you grow in this role, the opportunity will extend ... Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs ...

Data Engineer - Senior Associate

Birmingham, AL · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Analyzing complex issues to create innovative solutions - Mentoring and guiding junior team members ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Principal Data Scientist

Birmingham, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... of junior data scientists and analysts. As you grow in this role, the opportunity will extend ... Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs ...

Senior Data Analytics Consultant

Huntsville, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Guidehouse is seeking a Senior Data Analytics Consultant who will provide data solutions (analysis, data engineering, data science etc.) to a Department of Defense client. You will be a part of a ...

Senior Data Analytics Consultant

Huntsville, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Guidehouse is seeking a Senior Data Analytics Consultant who will provide data solutions (analysis, data engineering, data science etc.) to a Department of Defense client. You will be a part of a ...

Senior Data Analytics Consultant

Huntsville, AL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Guidehouse is seeking a Senior Data Analytics Consultant who will provide data solutions (analysis, data engineering, data science etc.) to a Department of Defense client. You will be a part of a ...

Senior Data Analytics Consultant

Huntsville, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Guidehouse is seeking a Senior Data Analytics Consultant who will provide data solutions (analysis, data engineering, data science etc.) to a Department of Defense client. You will be a part of a ...

Showing results 41-60

Junior Data Analytics Engineer information

What is a junior data analytics engineer?

A Junior Data Analytics Engineer is an entry-level professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with data pipelines, databases, and analytical tools to support senior data engineers and analysts. Their responsibilities often include cleaning data, writing basic queries, and creating simple reports or dashboards. This role serves as a foundation for more advanced positions in data engineering and analytics.

What are the key skills and qualifications needed to thrive as a junior data analytics engineer?

To thrive as a Junior Data Analytics Engineer, you need a solid understanding of data analysis, statistics, and programming languages such as Python or SQL, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau, Power BI), database management systems, and cloud platforms is commonly expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These abilities are crucial for accurately analyzing data, translating findings into actionable insights, and enabling data-driven decision-making within organizations.

What are the most common challenges faced by a junior data analytics engineer when transitioning from academic projects to real-world business data?

One of the most common challenges for Junior Data Analytics Engineers is adapting to the complexities of real-world data, which is often incomplete, inconsistent, or unstructured compared to clean academic datasets. Additionally, there is a stronger emphasis on collaboration with cross-functional teams and communicating findings to non-technical stakeholders. Learning to balance technical analysis with business objectives, and managing multiple tasks or project deadlines, are also typical hurdles. Overcoming these challenges helps junior engineers grow quickly and become valuable contributors to their teams.

What is the difference between Junior Data Analytics Engineer vs Data Analyst?

AspectJunior Data Analytics EngineerData Analyst
Required SkillsBasic programming, data modeling, SQL, data pipeline understandingData visualization, statistical analysis, Excel, SQL
Work EnvironmentCollaborates with data engineers and developers, often in tech or finance sectorsWorks with business teams to interpret data, in various industries
CertificationsSQL, Python, entry-level data certificationsExcel, Tableau, Power BI certifications

Junior Data Analytics Engineers focus on building data pipelines and integrating data systems, requiring programming skills. Data Analysts primarily interpret data through visualization and statistical methods. Both roles often overlap but serve different core functions within data teams.

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 Junior Data Analytics Engineer jobs in Alabama?

For Junior Data Analytics Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Junior Data Analytics Engineer jobs in Alabama look for?

The top searched job categories for Junior Data Analytics Engineer jobs in Alabama are:

Infographic showing various Junior Data Analytics Engineer job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data, Analytics & AI Engineer ONI

O'Neal Industries, Inc.

Birmingham, AL • On-site

$107K - $128K/yr

Full-time

Re-posted 14 days ago


Job description

Responsibilities Include but Are Not Limited To:

 Data Engineering & Analytics Platform

  • Design, build, and maintain reliable, scalable data pipelines using Boomi and Azure Data Factory to integrate data from ERP, EHS, operational, and corporate systems.
  • Develop and manage curated data models in Azure SQL and future MS Fabric environment lake house or warehouse architectures to support analytics, AI, and reporting use cases.
  • Ensure data quality, consistency, and performance across pipelines, models, and downstream consumers.
  • Contribute to data architecture standards, patterns, and best practices as ONI evolves toward Microsoft Fabric.

Analytics & Reporting

  • Develop and maintain Power BI semantic models, dashboards, and reports that deliver actionable insights to executives and business teams.
  • Partner with stakeholders to translate business questions into metrics, KPIs, and analytical solutions.
  • Promote selfservice analytics through welldesigned datasets, documentation, and governance.

AI, Machine Learning & Agentic Workflows

  • Identify, prototype, and deliver AI and machine learning solutions that improve decisionmaking, forecasting, anomaly detection, classification, and automation.
  • Design and implement agentic workflows that combine data, analytics, and AI models to automate multistep business processes, decision support, and operational actions.
  • Leverage Azurebased AI services and emerging Fabric capabilities (e.g., notebooks, ML, realtime intelligence) to operationalize AI solutions.
  • Act as an internal advocate and advisor on responsible AI adoption, helping business units understand practical and strategic AI opportunities.

 Collaboration & Delivery

  • Collaborate with IT, security, and DevOps teams to ensure solutions align with enterprise standards for security, compliance, and reliability.
  • Partner with affiliate companies and crossfunctional ONI teams as a resource on key initiatives.
  • Prioritize, scope, and manage data and AI initiatives with clear success metrics and business outcomes.

 Continuous Improvement & Innovation

  • Explore, evaluate, and pilot new data, analytics, and AI technologies with a bias toward business value.
  • Contribute to a culture of datadriven decisionmaking, experimentation, and continuous improvement across ONI.

Required Skills, Abilities and Education:

  • Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field.
  • Strong experience building and supporting data pipelines and system integrations, preferably with Azure Data Factory and/or Boomi.
  • Proficiency in SQL and relational data modeling; experience with Azure SQL Database or similar platforms.
  • Handson experience developing and maintaining analytics and semantic models using Power BI.
  • Programming experience in one or more languages such as Python (including notebooks), with the ability to apply them to data engineering, analytics, and AI use cases.
  • Experience applying AI/ML techniques to realworld business problems, including model development, evaluation, and operationalization.
  • Strong analytical thinking, problemsolving, and attention to detail.
  • Ability to communicate complex technical concepts clearly to both technical and nontechnical audiences.
  • Selfdriven, curious, and comfortable working in a dynamic, evolving technical environment.

 Desirable Skills, Abilities and Education:

  • Experience or strong interest in Microsoft Fabric, including lake house, warehouse, notebooks, real time analytics, and AI workloads.
  • Familiarity with agentic AI patterns, workflow orchestration, and automation platforms.
  • Experience supporting enterprise data platforms in regulated or security conscious environments.
  • Understanding of modern data architecture concepts (ELT, semantic layers, governance, lineage).
  • Experience working within large, distributed organizations or multi affiliate environments.
  • Strong customer focused mindset with the ability to manage expectations and build trusted partnerships.