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Executive Data Analytics Jobs in Alabama (NOW HIRING)

Urology Centers of Alabama

Data Analyst

Homewood, AL · On-site

... analytics · Ensure data integrity, consistency, and compliance with healthcare regulations (e.g ... executives, and operational leaders · Identify trends, anomalies, and opportunities for ...

IGNITE

DATA ENGINEER/DATA ANALYST

Huntsville, AL · On-site

... advanced analytics, and programmatic domains. As an employee-owned SDVOSB headquartered in ... executive-level reporting solutions using trusted and governed data sources. • Perform data ...

VIVA Health

Senior Provider Data Analyst

Birmingham, AL

$80K - $101K/yr

... data analytics, operational reporting, business intelligence and decision support. This role ... Experience supporting executive reporting and strategic planning initiatives * Sigma Six Green Belt ...

New

Viva Health

Senior Provider Data Analyst

Birmingham, AL · On-site

$80K - $101K/yr

... data analytics, operational reporting, business intelligence and decision support. This role ... Experience supporting executive reporting and strategic planning initiatives * Sigma Six Green Belt ...

New

Chipton Ross

Data Scientist

Huntsville, AL · On-site

Present findings and recommendations to executives and cross-functional audiences in clear, business-oriented language. * Stay current on BI, analytics, visualization, and data driven program ...

DivIHN Integration Inc

HR Data Analyst

Huntsville, AL · On-site

... Analytics, or a related field. * Proficiency in Power BI (preferred), or experience with other data ... and executive presentation decks. * Design infographics and one-pagers to highlight key HR ...

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Executive Data Analytics information

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer (CDO) or Vice President of Data Analytics, which can offer salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced skills in data strategy, and leadership capabilities, often supported by certifications like Certified Analytics Professional (CAP) or advanced degrees.

How does an Executive Data Analytics professional typically collaborate with other departments to drive business strategy?

Executive Data Analytics professionals often work closely with leaders across marketing, finance, operations, and IT to translate complex data insights into strategic business decisions. They facilitate cross-functional meetings, present actionable findings, and recommend data-driven initiatives that align with organizational goals. This role requires strong communication and leadership skills, as executives must bridge the gap between technical data teams and non-technical stakeholders, ensuring everyone understands and acts on key insights.

What are the key skills and qualifications needed to thrive as an Executive in Data Analytics, and why are they important?

To thrive as an Executive in Data Analytics, you need expertise in data analysis, statistical modeling, and data-driven decision-making, usually supported by an advanced degree in data science, statistics, or a related field. Familiarity with analytics platforms such as Tableau, Power BI, SQL, and cloud-based data systems, along with certifications like Certified Analytics Professional (CAP), is typically required. Strong leadership, strategic thinking, and communication skills distinguish top performers by enabling them to translate complex data insights for stakeholders and drive organizational change. These skills are critical for aligning analytics initiatives with business goals and delivering measurable value.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the near future.

What is a data analyst executive?

A data analyst executive is a senior professional responsible for overseeing data analysis activities within an organization. They typically lead teams, develop data strategies, and use tools like SQL, Python, or Tableau to inform business decisions. Strong leadership, strategic thinking, and advanced analytical skills are essential for this role.

What is an Executive Data Analytics professional?

An Executive Data Analytics professional is a senior leader responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making processes. They manage teams of analysts and data scientists, align analytics projects with business goals, and ensure the effective use of data to drive growth and innovation. Their role typically involves collaborating with other executives, setting data governance policies, and identifying opportunities for leveraging data to improve performance and competitive advantage.
What are the most commonly searched types of Data Analytics jobs in Alabama? The most popular types of Data Analytics jobs in Alabama are:
What cities in Alabama are hiring for Executive Data Analytics jobs? Cities in Alabama with the most Executive Data Analytics job openings:
Executive Data Analytics jobs near you

Data, Analytics & AI Engineer ONI

O'Neal Industries, Inc.

Birmingham, AL • On-site

$107K - $128K/yr

Full-time

Posted 26 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.

Apply