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Data Analyst Ai Jobs in Springfield, IL (NOW HIRING)

DATAMAXIS

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

You will own end-to-end delivery of data pipelines and data products that power analytics, regulatory reporting, operational dashboards, and emerging AI/ML use cases. You will partner closely with ...

TSMG

Data collector / Driver

Springfield, IL

We collect data where automation is not possible. We count features, take pictures, make videos ... AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes ...

TSMG

Data collector / Driver

Springfield, IL · Remote

We collect data where automation is not possible. We count features, take pictures, make videos ... AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes ...

TSMG

Mapping Data Collection Driver

Springfield, IL

We collect data where automation is not possible. We count features, take pictures, make videos ... AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes ...

TSMG

Mapping Data Collection Driver

Springfield, IL

We collect data where automation is not possible. We count features, take pictures, make videos ... AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes ...

EverCommerce

Analyst, Growth

Springfield, IL · On-site

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Eagerness to use AI tools to work more efficiently and improve output quality * A self-starter with ...

Crowe LLP

Privacy Senior Associate

Springfield, IL · On-site

Conduct and document Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), AI Risk Assessments, and transfer impact analyses (TIAs). * Analyze data lifecycle processes to ...

Wolters Kluwer

Senior Sales Trainer

Springfield, IL · On-site

$78K - $136K/yr

Data Analysis: Capability to analyze and interpret training-related data. Sales Mastery: In-depth ... Please note that use of AI-generated responses or third-party support during interviews will be ...

Wolters Kluwer

Senior Sales Trainer

Springfield, IL · On-site

$78K - $136K/yr

Data Analysis: Capability to analyze and interpret training-related data. Sales Mastery: In-depth ... Please note that use of AI-generated responses or third-party support during interviews will be ...

Wolters Kluwer

Senior Sales Trainer

Springfield, IL

$78K - $136K/yr

Data Analysis: Capability to analyze and interpret training-related data. Sales Mastery: In-depth ... Please note that use of AI-generated responses or third-party support during interviews will be ...

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All JobsData Analyst Ai JobsData Analyst Ai Jobs in Springfield, IL

Data Analyst Ai information

See Springfield, IL salary details

$33.7K

$81.9K

$134.8K

How much do data analyst ai jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data analyst ai in Springfield, IL is $81,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,100.00 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 popular job titles related to Data Analyst Ai jobs in Springfield, IL? For Data Analyst Ai jobs in Springfield, IL, the most frequently searched job titles are:
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Data Analyst Ai jobs near you
Senior Azure Data Engineer (Remote)

Senior Azure Data Engineer (Remote)

DATAMAXIS

Springfield, IL • Remote

$117K - $140K/yr

Full-time

Re-posted 26 days ago

Job description

Job Summary: We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and data products that power analytics, regulatory reporting, operational dashboards, and emerging AI/ML use cases. You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure, and costefficient data solutions.

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration programs (e.g., Informatica-to-ADF, on-prem warehouse-to-cloud), mentoring mid-level engineers, and shaping engineering standards across the team.

Key Responsibilities:

Pipeline Design & Development

  • Design and build robust, reusable, parameter-driven ingestion and transformation pipeline using Azure Data Factory, Synapse Pipelines, Data Bricks and/or Microsoft Fabric Data Factory.
  • Implement medallion architecture (Bronze / Silver / Gold) on Azure Data Lake Storage Gen2 using Delta Lake, Parquet, and structured streaming patterns.
  • Build performant ELT workflows that leverage pushdown to source systems (Synapse Dedicated SQL Pool, Azure SQL, Teradata) where appropriate.
  • Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark.

Data Modeling & Warehousing

  • Design dimensional models (Kimball star/snowflake) and data vault patterns for analytics consumption.
  • Implement Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data patterns.
  • Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including distribution keys, partitioning, and clustered column store indexes.

Platform Engineering & DevOps

  • Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments.
  • Instrument pipelines with robust logging, auditing, and monitoring using Azure Monitor, Log Analytics, and KQL.
  • Define and enforce coding standards, code review practices, branching strategies, and release management.

Migration & Modernization

  • Lead or contribute to legacy-to-cloud migrations e.g., Informatica PowerCenter to Azure Data Factory, on-premises Teradata / Oracle / SQL Server to Synapse or Fabric.
  • Perform workload assessment, capacity planning, and cost modeling for target-state architectures.
  • Production incident response for critical pipelines.

Required Qualifications:

  • Deep hands-on expertise with Azure Data Factory: pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and all three Integration Runtime types (Azure, Self hosted, SSIS).
  • Strong Experience in Data Bricks and PySpark.
  • Production experience with one or more of: Azure Synapse Analytics (Dedicated and Serverless SQL Pools, Spark Pools) OR Azure Databricks (Delta Lake, Unity Catalog) OR Microsoft Fabric (Warehouse, Lakehouse, OneLake).
  • Strong working knowledge of Azure Data Lake Storage Gen2 (hierarchical namespace, RBAC + ACLs, lifecycle management, security).
  • Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service principals), and private networking (VNet integration, private endpoints).
  • Monitoring and troubleshooting with Azure Monitor, Log Analytics, and KQL.
  • Advanced SQL window functions, CTEs, query optimization, execution plan analysis, performance tuning.
  • Strong Python for data engineering pandas, PySpark, REST API integration, unit testing (pytest).
  • Proficient in T-SQL; familiarity with Spark SQL, KQL, PowerShell, and Bash shell scripting.

Preferred Qualifications:

  • 5+ years of data warehouse development experience.
  • 5+ years of data modeling experience using ERWIN or similar tools.
  • 2+ years of experience with Azure Data Factory and Snowflake.
  • Medicaid Domain Knowledge is a plus.
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About DATAMAXIS

Sourced by ZipRecruiter

Datamaxis is passionate about making our clients win. As a trusted partner, we will bring innovative solutions, technical expertise in Data, cyber security analytics, strategic staffing and AI/ML to help create value (ROI) for our clients, stay competitive and operationally efficient.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Reston, VA, US

Year founded

2003

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