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Amazon Data Analytics Jobs in Illinois (NOW HIRING)

System One

Data Architect- Wealth Management

Naperville, IL · On-site

$63.75 - $82/hr

Hybrid Position Description Join a collaborative Data & Analytics team building a modern, cloud ... Amazon RDS * Aurora * DynamoDB * Security: * IAM * KMS * Encryption at Rest/In Transit * Fine ...

Amazon

Site EHS Manager II

Joliet, IL

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Amazon

Site EHS Manager II

Joliet, IL

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Amazon

Site EHS Manager II

Bolingbrook, IL · On-site

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Amazon

Site EHS Manager II

Bolingbrook, IL · On-site

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Amazon

Site EHS Manager III

Markham, IL · On-site

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Leverage technology and data analytics to drive preventive safety measures that protect our ...

Amazon

Multi-Site EHS Manager II

Monee, IL · On-site

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Amazon

Multi-Site EHS Manager II

Monee, IL

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Amazon

Multi-Site EHS Manager II

Channahon, IL

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Amazon

Multi-Site EHS Manager II

Channahon, IL

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Amazon

Site EHS Manager III

Markham, IL · On-site

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Leverage technology and data analytics to drive preventive safety measures that protect our ...

Amazon

Site EHS Manager III

Markham, IL

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Leverage technology and data analytics to drive preventive safety measures that protect our ...

Sonsoft Inc

Big Data/Cloud Consultant

Chicago, IL

$60.25 - $82.25/hr

At least 2 years of experience with Big Data & Analytics solutions - Hadoop, MapReduce, Pig, Hive, Spark, Storm, Amazon Kinesis, AWS EMR, AWS RedShift, DynamoDB, Azure HDInsight, Azure Cortana ...

Sonoma Consulting Inc.

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Help our analysts and engineers build and optimize data pipelines to understand our large and ever ... Expertise in leading cloud technologies like Amazon Web Services * Ability to communicate technical ...

State Farm

Lead AWS FinOps Analyst

Bloomington, IL · On-site

$107 - $142/hr

This highly visible role combines cloud engineering, data analytics, finance, automation, and ... Strong experience working with Amazon Web Services (AWS) in large-scale enterprise environments.

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Showing results 21-40

All JobsAmazon Data Analytics JobsAmazon Data Analytics Jobs in Illinois

Amazon Data Analytics information

See Illinois salary details

$18.9K

$73.5K

$154K

How much do amazon data analytics jobs pay per year?

As of Aug 12, 2026, the average yearly pay for amazon data analytics in Illinois is $73,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,170.00 and $102,226.00 per year, depending on experience, location, and employer.

How does an Amazon Data Analytics professional typically collaborate with cross-functional teams to drive business decisions?

Amazon Data Analytics professionals regularly work with teams such as product management, engineering, marketing, and operations to translate data insights into actionable strategies. They participate in meetings to understand business objectives, design analytical solutions, and present findings in a clear, business-friendly manner. This collaborative approach ensures that data-driven recommendations align with organizational goals and helps stakeholders make informed decisions. Effective communication and the ability to explain complex data concepts to non-technical colleagues are key skills in this role.

What is Amazon Data Analytics?

Amazon Data Analytics refers to the suite of tools, services, and practices offered by Amazon Web Services (AWS) that enable organizations to collect, process, analyze, and visualize large volumes of data. This includes services like Amazon Redshift, AWS Glue, Amazon Athena, and Amazon QuickSight, which help users turn raw data into actionable insights. Professionals in Amazon Data Analytics roles are responsible for building data pipelines, optimizing data storage, and ensuring data quality to support business decision-making. These roles require skills in data engineering, statistical analysis, and cloud computing technologies.

What is the salary of Amazon Data Analytics?

The salary for Amazon Data Analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and specific responsibilities. Entry-level positions may start lower, while experienced analysts with skills in SQL, Python, or Tableau can earn higher salaries.

What is the difference between Amazon Data Analytics vs Data Analyst?

AspectAmazon Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related; Amazon-specific toolsBachelor's in Statistics, Mathematics, or related; general analytics tools
Work EnvironmentAmazon warehouses, cloud platforms, e-commerce settingsOffices, corporate settings, various industries
Employer & Industry UsageAmazon's e-commerce, logistics, cloud servicesMultiple industries including finance, healthcare, retail
Common Search & ComparisonYesYes

Amazon Data Analytics professionals focus on analyzing data within Amazon's ecosystem, utilizing Amazon-specific tools and working in e-commerce or logistics environments. Data Analysts have a broader scope across industries, using general analytics tools. Both roles require strong analytical skills, but Amazon Data Analytics roles often demand familiarity with Amazon's platforms and cloud services.

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

To thrive as an Amazon Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by a relevant degree. Familiarity with tools such as SQL, AWS services (e.g., Redshift, Athena), Python, and data visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, clear communication, and the ability to interpret and present complex data insights are valuable soft skills. These competencies enable professionals to derive actionable business insights, support data-driven decisions, and drive operational efficiency within Amazon's fast-paced environment.
What are popular job titles related to Amazon Data Analytics jobs in Illinois? For Amazon Data Analytics jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Amazon Data Analytics jobs in Illinois look for? The top searched job categories for Amazon Data Analytics jobs in Illinois are:
Amazon Data Analytics jobs near you
Infographic showing various Amazon Data Analytics job openings in Illinois as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $73,461 per year, or $35.3 per hour.

Data Architect- Wealth Management

System One

Naperville, IL • On-site

$63.75 - $82/hr

Contractor

Posted 28 days ago

Job description

Job Title: Data Architect Wealth Management Duration : 6+ Months Contract Location : Naperville IL Work Mode : Hybrid Position Description Join a collaborative Data & Analytics team building a modern, cloud-native data platform on AWS. In this hands-on architecture role, you will shape the data foundations that power Wealth Management insights, working alongside engineers, analysts, and business stakeholders. You will have the autonomy to define standards and patterns while working with a modern lakehouse and streaming stack. This hybrid position offers a strong balance of technical depth, influence, and professional growth. Responsibilities

  • Design and maintain the end-to-end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS.
  • Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships.
  • Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization.
  • Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage.
  • Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks.
  • Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data.
  • Guide data engineering teams on implementation, review designs, and ensure alignment with the target architecture.
  • Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability.
  • Support real-time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms.
  • Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases.
Required Skills
  • 10–12 years of experience in Data Engineering/Data Architecture, with significant experience in Banking & Financial Services.
  • Demonstrated experience in Wealth Management or closely related domains (Asset Management, Private Banking, or Brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data.
  • Proven experience designing and implementing large-scale AWS-based data platforms.
  • Strong expertise in data modeling, including Dimensional Modeling, Data Vault, and Normalized (3NF) approaches.
  • Deep experience with Data Lake/Lakehouse and Data Warehouse architecture, including ETL/ELT design.
  • Strong understanding of Data Governance, Data Quality, Metadata Management, and Data Lineage in regulated environments.
  • Experience handling sensitive data with security, privacy, and compliance controls.
  • Excellent stakeholder management and communication skills, with the ability to present architectural decisions to both technical and non-technical audiences.
  • Hands-on experience with AWS services:
    • S3
    • Redshift
    • EMR
    • Athena
    • Glue
    • Lake Formation
    • Parquet
    • Iceberg or Delta Lake
  • Experience with Streaming and Serverless technologies:
    • Kinesis
    • MSK (Managed Kafka)
    • Lambda
    • Step Functions
    • MWAA (Managed Airflow)
  • Database experience:
    • Amazon RDS
    • Aurora
    • DynamoDB
  • Security:
    • IAM
    • KMS
    • Encryption at Rest/In Transit
    • Fine-Grained Access Control
  • Infrastructure as Code:
    • CloudFormation and/or Terraform
  • Strong SQL and Python programming skills.
  • Experience with BI tools such as QuickSight, Tableau, or Power BI.
Nice-to-Have Skills
  • AWS Certifications (AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect, etc.)
  • TOGAF or other Enterprise Architecture framework experience.
  • Experience with Data Catalog and Governance tools such as Collibra or Alation.
  • Familiarity with market data providers such as Bloomberg or Refinitiv.
  • Experience with Portfolio Accounting and Performance Management platforms.
  • Exposure to Machine Learning and Advanced Analytics enablement.
  • Experience implementing Data Mesh or Domain-Oriented Data Architecture.
  • Knowledge of regulatory frameworks and reporting requirements within Wealth Management.
Ref: #404-IT Pittsburgh