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Amazon Data Analyst Jobs in Appleton, WI (NOW HIRING)

Princeton IT Services

AWS Data Architect

Neenah, WI · 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 ...

All JobsAmazon Data Analyst JobsAmazon Data Analyst Jobs in Appleton, WI

Amazon Data Analyst information

See Appleton, WI salary details

$32.4K

$78.6K

$129.4K

How much do amazon data analyst jobs pay per year?

As of Jul 23, 2026, the average yearly pay for amazon data analyst in Appleton, WI is $78,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon Data Analyst position, and why are they important?

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.

Will AI replace a Data Analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a Data Analyst involves interpreting data, providing insights, and making strategic recommendations that require human judgment. Data Analysts will increasingly work alongside AI, focusing on complex analysis, storytelling, and decision support that AI cannot fully replicate. Skills in data visualization, critical thinking, and domain knowledge remain essential for the role.

What is an Amazon Data Analyst job?

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 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.

Will Amazon pay you $28 an hour to work from home?

Amazon Data Analysts working remotely can earn around $20 to $30 per hour, depending on experience and location. Compensation varies based on the role, skills, and level of expertise, with some positions offering higher pay for specialized knowledge or certifications. It is advisable to review current job postings for specific salary details.

Is 40 too late for data science?

For a Data Analyst role at Amazon, transitioning into data science at age 40 is possible, especially with relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully switch careers later in life by gaining certifications, building portfolios, and continuous learning. Age is less a barrier than acquiring the necessary technical expertise and experience for the role.

What does a Data Analyst make at Amazon?

A Data Analyst at Amazon typically earns a salary that ranges from $60,000 to $100,000 annually, depending on experience, location, and level. They analyze large datasets using tools like SQL, Excel, and Tableau to support business decisions and improve operational efficiency.
What are popular job titles related to Amazon Data Analyst jobs in Appleton, WI? For Amazon Data Analyst jobs in Appleton, WI, the most frequently searched job titles are:
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Amazon Data Analyst jobs near you
Infographic showing various Amazon Data Analyst job openings in Appleton, WI as of July 2026, with employment types broken down into 1% Locum Tenens, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $78,648 per year, or $37.8 per hour.
AWS Data Architect

AWS Data Architect

Princeton IT Services

Neenah, WI • On-site

$64.50 - $82.75/hr

Contractor

Posted 29 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)