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Amazon Data Analyst Jobs in Wisconsin (NOW HIRING)

AWS Data Architect

Neenah, WI Β· On-site

$64.50 - $82.75/hr

Amazon S3, EC2, Lambda, ECS, EKS Data Processing & Orchestration: * AWS Glue, EMR, Kinesis, Step Functions Analytics & BI: * Amazon Redshift, Athena, QuickSight Security & Governance: * IAM, KMS ...

WI Β· On-site

We are looking for a data-driven, analytical, and proactive Brand Protection Specialist to protect Logitech's brand integrity, profitability, and customer experience on Amazon and across the broader ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Proactive Prevention - Drive injury prevention through advanced data analysis and evidence-based ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Proactive Prevention - Drive injury prevention through advanced data analysis and evidence-based ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Proactive Prevention - Drive injury prevention through advanced data analysis and evidence-based ...

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Proactive Prevention - Drive injury prevention through advanced data analysis and evidence-based ...

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 ...

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 ...

WI Β· On-site

$109K - $145K/yr

Support the development and delivery of modern data and analytics architecture through batch and ... Architect and manage high‑throughput event streaming solutions utilizing Apache Kafka and Amazon ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Proactive Prevention - Drive injury prevention through advanced data analysis and evidence-based ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Proactive Prevention - Drive injury prevention through advanced data analysis and evidence-based ...

... data analytics to identify emerging trends, predict future challenges, and implement proactive ... About the team Amazon's Fulfillment Centers (FCs) within North American Customer Fulfillment (NACF ...

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Amazon Data Analyst information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do amazon data analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for amazon data analyst in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What is an Amazon data analyst?

An Amazon Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to help drive business decisions. They work with teams across the company to identify trends, optimize processes, and improve efficiency using data-driven insights. Their role often involves using SQL, Python, Excel, and visualization tools like Tableau or Power BI. Strong analytical skills and attention to detail are essential for making informed recommendations that impact operations, sales, or customer experience.

What are the key skills and qualifications needed to thrive as an Amazon data analyst?

To thrive as an Amazon Data Analyst, you need strong analytical skills, experience with statistical methods, and a relevant degree in fields such as Data Science, Mathematics, or Computer Science. Proficiency with SQL, Python, Excel, and data visualization tools like Tableau or AWS QuickSight, along with certifications in data analytics or cloud platforms, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills enable you to translate complex data into actionable insights for stakeholders. These competencies are critical for driving data-driven decision-making and supporting Amazon's fast-paced, results-oriented business environment.

What are some typical challenges Amazon data analysts face, and how can they overcome them?

Amazon Data Analysts often work with large, complex datasets and must ensure the accuracy and reliability of their analyses in a fast-paced environment. Navigating multiple data sources, integrating new technologies, and adapting to changing business priorities are common challenges. Successful analysts proactively collaborate with cross-functional teams, stay up to date on the latest analytical tools, and prioritize effective communication to translate technical findings into business recommendations. Seeking mentorship and ongoing learning opportunities can also help analysts stay ahead in this dynamic role.

How do I join Amazon as a data analyst?

To join Amazon as a data analyst, candidates typically need a bachelor's degree in a related field such as data science, statistics, or computer science, along with strong analytical skills and experience with tools like SQL, Python, or R. Applying through Amazon's careers website and demonstrating relevant experience and technical proficiency are essential steps in the hiring process.

What are top 3 soft skills for an Amazon Data Analyst?

The top three soft skills for an Amazon Data Analyst are strong analytical thinking, effective communication, and problem-solving abilities. These skills enable analysts to interpret complex data, present insights clearly, and collaborate with cross-functional teams in a fast-paced environment.

What are the most commonly searched types of Amazon Data Analyst jobs in Wisconsin?

The most popular types of Amazon Data Analyst jobs in Wisconsin are:

Infographic showing various Amazon Data Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.

AWS Data Architect

Neenah, WI β€’ On-site

Princeton IT Services
11 - 50 employees

$64.50 - $82.75/hr

Contractor

Re-posted 20 days ago


Job description

Job Title: AWS Data Architect

Location: Neenah, WI

Job type: Contract

Position Overview

We are seeking a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms that enable scalable analytics and business intelligence. The ideal candidate will bring deep expertise in AWS cloud services, data modeling, data lakes, ETL/ELT pipelines, and big data ecosystems, and will work closely with engineering and business teams to deliver secure, high-performance data solutions.

Key Responsibilities

  • Design and implement end-to-end data architectures on AWS, including data lakes, data warehouses, and streaming solutions
  • Define data ingestion, transformation, and storage strategies using AWS-native services
  • Architect and oversee ETL/ELT pipelines ensuring reliable, secure, and efficient data flow
  • Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable data solutions
  • Establish and enforce data governance, security, and compliance frameworks following AWS best practices
  • Optimize data platforms for performance, scalability, and cost efficiency
  • Lead and support data migration initiatives from on-premises or other cloud platforms to AWS
  • Provide technical leadership, guidance, and mentorship to data engineering teams
  • Document architectures, standards, and best practices

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
  • 7+ years of experience in data architecture, data engineering, or cloud architecture
  • Strong hands-on expertise with AWS services, including:

Storage & Compute:

  • Amazon S3, EC2, Lambda, ECS, EKS

Data Processing & Orchestration:

  • AWS Glue, EMR, Kinesis, Step Functions

Analytics & BI:

  • Amazon Redshift, Athena, QuickSight

Security & Governance:

  • IAM, KMS, Lake Formation
  • Proficiency in SQL and Python
  • Strong experience with ETL frameworks and data pipeline design
  • Solid understanding of data modeling techniques (3NF, Dimensional Modeling, Data Vault)
  • Familiarity with data governance, metadata management, and data quality practices
  • Excellent communication and stakeholder management skills

Preferred Qualifications

  • Experience with large-scale enterprise data platforms
  • Exposure to real-time or streaming data architectures
  • Knowledge of DevOps / CI-CD practices for data platforms
  • AWS certifications (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect)