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Data Analyst Ai Jobs in Decatur, AL (NOW HIRING)

Varsity Tutors

Data Analysis Tutor

Huntsville, AL · Remote

$18 - $40/hr

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

On-Site Description Seeking an AI Engineer with a strong background in data analytics and product development to join our innovative team in Huntsville, AL. This individual will be responsible for ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

On-Site Description Seeking anAI Engineerwith a strong background in data analytics and product ... This individual will be responsible for building, optimizing, and deploying AI-driven models ...

asrcfh

Senior Data Architect

Redstone Arsenal, AL · On-site

$68.75 - $91.75/hr

Develop, test, and implement predictive models, AI/ML algorithms, and advanced statistical analyses * Design and maintain data pipelines, ETL processes, data lakes, and data warehouses * Create ...

asrcfh

Senior Data Architect

Redstone Arsenal, AL

$68.75 - $91.75/hr

Develop, test, and implement predictive models, AI/ML algorithms, and advanced statistical analyses * Design and maintain data pipelines, ETL processes, data lakes, and data warehouses * Create ...

Boeing

Senior Data Scientist

Huntsville, AL · On-site

$162K - $219K/yr

The ideal candidate will have advanced capabilities in data analysis and apply innovative algorithms and AI techniques to address complex quality challenges. This role involves interpreting data ...

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All JobsData Analyst Ai JobsData Analyst Ai Jobs in Decatur, AL

Data Analyst Ai information

See Decatur, AL salary details

$31.9K

$77.5K

$127.5K

How much do data analyst ai jobs pay per year?

As of Jul 21, 2026, the average yearly pay for data analyst ai in Decatur, AL is $77,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $90,900.00 per year, depending on experience, location, and employer.

What is a Data Analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

Can AI do the job of a data analyst?

AI can automate many tasks performed by data analysts, such as data cleaning, basic analysis, and reporting, using tools like machine learning algorithms and data visualization software. However, human skills in interpreting complex data, making strategic decisions, and understanding business context remain essential for comprehensive analysis. Data analysts often use AI as a tool to enhance productivity but still require critical thinking and domain expertise.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior data scientist or AI research director, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.

What are the key skills and qualifications needed to thrive as a Data Analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

How does a Data Analyst specializing in AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What is the difference between Data Analyst Ai vs Data Scientist?

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

Which 3 jobs will survive AI?

Data Analysts with expertise in AI and machine learning are likely to continue thriving as organizations rely on data-driven decision-making. Roles such as healthcare professionals and skilled tradespeople are also expected to remain in demand due to the need for human judgment and physical skills that AI cannot replicate. These jobs typically require specialized knowledge, critical thinking, and adaptability to technological changes.

What do AI data analysts do?

AI data analysts collect, process, and analyze large datasets to extract insights that inform AI models and business decisions. They use tools like SQL, Python, and machine learning frameworks to clean data, develop algorithms, and evaluate model performance, often working closely with data scientists and engineers.
What are the most commonly searched types of Data Analyst Ai jobs in Decatur, AL? The most popular types of Data Analyst Ai jobs in Decatur, AL are:
What job categories do people searching Data Analyst Ai jobs in Decatur, AL look for? The top searched job categories for Data Analyst Ai jobs in Decatur, AL are:
What cities near Decatur, AL are hiring for Data Analyst Ai jobs? Cities near Decatur, AL with the most Data Analyst Ai job openings:
Data Analyst Ai jobs near you
Director, FP&A & AI Enablement

Director, FP&A & AI Enablement

Teledyne FLIR LLC

Huntsville, AL • On-site

Full-time

Posted 13 days ago

Job description

Be visionary
Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.
We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.
Job Description
Be visionary
Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.
We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.
Job Summary:
The Director, FP&A & AI Enablement supports the Senior Director, Business Operations by leading the segment's financial planning, forecasting, and performance reporting processes. The role will drive the build-out of a centralized FP&A function across Engineered Systems' operating units, establish disciplined planning and forecasting rhythms (AOP/rolling forecast/long-range plan), and champion AI-enabled finance transformation. The Director ensures segment financial data is accurate, timely, and structured to support executive decision-making, and partners closely with the Business Management Office and Pricing functions to deliver integrated financial visibility across the segment.
Detailed Description:
  • Manage the segment's Annual Operating Plan, rolling forecast, and long-range planning processes and tools across all operating units; establish consistent cadence, methodology, and deliverable standards.
  • Develop and supervise a team of FP&A professionals; establish operating standards, performance expectations, and a culture of analytical rigor and continuous improvement.
  • Prepare consolidated segment financial reporting, including monthly performance reviews, variance analysis, and financial risk/opportunity summaries.
  • Build and maintain structured cash flow and working capital forecasting; support unbilled reduction, collections, and WIP tracking in coordination with the Business Management Office.
  • Develop and maintain driver-based financial models that integrate orders, sales, profit, and cash performance across the segment's program portfolio.
  • Partner with operating unit finance leads to standardize financial data structures, reporting definitions, and forecast methodology across the segment's operating units.
  • Develop and maintain segment KPI reporting for Orders, Sales, Profit, and Cash; provide trend analysis and forward-looking commentary.
  • Serve as the Finance AI champion for Engineered Systems - define the FP&A AI roadmap, prioritize workflow automation use cases, and drive adoption across the finance organization.
  • Deploy agentic workflows and AI-assisted tools to accelerate forecast cycles, variance analysis, and management reporting processes.
  • Lead process redesign and data structure improvements in advance of and alongside system implementations (e.g., IBM Planning Analytics/TM1, Deltek Costpoint); own finance-side requirements and change management.
  • Build internal capability by training and upskilling finance staff on AI tools, modern modeling practices, and process automation.
  • Maintain strong internal controls across planning and reporting processes; support SOX and audit readiness as directed.
  • Coordinate with Teledyne Corporate FP&A on planning calendars, consolidation requirements, and enterprise reporting standards.
  • Other job duties as assigned.

Requirements:
  • Bachelor's degree in Finance, Accounting, or Business Administration (MBA preferred).
  • 15+ years of progressive finance experience, with at least 5 years in FP&A leadership roles in a publicly traded government contracting or defense environment.
  • Demonstrated experience building or centralizing an FP&A function across multiple business units or programs.
  • Direct experience with government contract finance - cost-plus and IDIQ programs, EAC management, and FAR/DFARS cost accounting requirements.
  • Strong command of FP&A processes in a publicly traded company: AOP, rolling forecasts, long-range planning, monthly/quarterly variance analysis, and KPI reporting.
  • Proven track record applying AI tools, agentic workflows, or process automation to core finance processes.
  • Advanced financial modeling skills, including driver-based and cash flow models.
  • Experience as a functional owner or power user of enterprise planning platforms; IBM TM1 / Planning Analytics strongly preferred.
  • Proficiency in government financial accounting systems and Microsoft Office Suite; Deltek Costpoint experience a plus.
  • Knowledge of DCAA audit readiness and FAR/DFARS cost accounting standards.
  • Exposure to missile, space, aerospace, or complex manufacturing programs preferred.
  • Ability to obtain and maintain U.S. Secret security clearance required.
  • Strong verbal and written communication skills; ability to translate financial data into clear executive-ready narratives.
  • High level of integrity and dependability with a strong sense of urgency and results-orientation.

#TBE
Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.
Teledyne is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.

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