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Remote Amazon Data Analyst Jobs in Bolingbrook, IL

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Collaboration and Leadership Collaborate with data engineers, analysts, QA teams, and business ...

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Collaboration and Leadership Collaborate with data engineers, analysts, QA teams, and business ...

Energy Procurement Analyst Location: Remote (U.S.) About World Fuel At World Fuel, we help ... We're looking for an analytical, detail-oriented professional who enjoys working with data, solving ...

Showing results 41-60

Remote Amazon Data Analyst information

See Bolingbrook, IL salary details

$33.6K

$81.7K

$134.5K

How much do remote amazon data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote amazon data analyst in Bolingbrook, IL is $81,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $95,900.00 per year, depending on experience, location, and employer.

What does a remote Amazon data analyst do?

A Remote Amazon Data Analyst is responsible for collecting, analyzing, and interpreting data related to Amazon's sales, customer behavior, and marketplace trends. They use various tools and software to generate reports and insights that help businesses optimize their Amazon strategies. Working remotely, they collaborate with teams to identify growth opportunities, monitor performance metrics, and support decision-making. Their work often involves using Excel, SQL, and data visualization platforms to turn raw data into actionable insights.

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

To thrive as a Remote Amazon Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with tools such as SQL, Excel, Python, and Amazon analytics platforms like AWS QuickSight is typically required, along with experience in data visualization and reporting. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for collaborating across teams and presenting insights. These competencies are crucial for driving data-driven decisions that optimize business performance and support Amazon’s operational goals.

What are some common challenges faced by remote Amazon data analysts, and how can they be addressed?

Remote Amazon Data Analysts often face challenges related to collaborating across different time zones and accessing proprietary data securely. Staying aligned with cross-functional teams—such as marketing, supply chain, and product management—requires effective communication and proactive updates. Utilizing project management tools, scheduling regular virtual meetings, and maintaining thorough documentation can help bridge these gaps. Additionally, understanding Amazon's unique data structures and tools is essential for accurate analysis and reporting.

What are popular job titles related to Remote Amazon Data Analyst jobs in Bolingbrook, IL?

For Remote Amazon Data Analyst jobs in Bolingbrook, IL, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Data Analyst jobs in Bolingbrook, IL look for?

The top searched job categories for Remote Amazon Data Analyst jobs in Bolingbrook, IL are:

What cities near Bolingbrook, IL are hiring for Remote Amazon Data Analyst jobs?

Cities near Bolingbrook, IL with the most Remote Amazon Data Analyst job openings:

Infographic showing various Remote Amazon Data Analyst job openings in Bolingbrook, IL as of August 2026, with employment types broken down into 78% Full Time, 14% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,718 per year, or $39.3 per hour.

Data Compliance Engineer

TrovaSearch

Oakbrook Terrace, IL • Remote

Contractor

Re-posted 13 days ago


Job description

MUST HAVE HEALTHCARE EXPERIENCE
W-2 ONLY. NO C2C or 3rd party agencies.
6 month contract, fully remote. 

We are looking for someone who can do data segmentation exercise in python, so this person must be familiar with data handling and processing libraries and some statistical modeling in python. Most of the data that needs to be analyzed is in SQL server.
Job Description
We are seeking a mid-level Statistician to support data analytics initiatives across both clinical and operational domains. This role involves applying statistical methods to healthcare quality, safety, and performance data, enabling data-driven decision-making and continuous improvement. The ideal candidate will have strong analytical skills, healthcare experience, and proficiency in Python.
  • Perform statistical analyses on both clinical and operational datasets to identify trends, patterns, and performance insights.
  • Develop and validate statistical models to support healthcare quality measurement, risk adjustment, and operational efficiency.
  • Collaborate with cross-functional teams-including clinical, research, and administrative staff-to define analytical goals and interpret results.
  • Create dashboards, reports, and visualizations using Python, Power BI, and other tools to communicate findings effectively.
  • Ensure data integrity and compliance with healthcare regulations (e.g., HIPAA).
  • Contribute to the development of data collection strategies and analytics frameworks for both patient care and operational workflows.
  • Support data governance initiatives by promoting data quality, consistency, and compliance across clinical and operational datasets.
 
Required Skills
  • Bachelors or Master's degree in Statistics, Biostatistics, or a related field.
  • 5-7 years of experience in statistical analysis within the healthcare industry.
  • Proficiency in Python is required, including libraries such as pandas, NumPy, and statsmodels.
  • Experience working with healthcare data (e.g., EHRs, claims) and operational data (e.g., staffing, throughput, resource utilization).
  • Familiarity with SQL and data visualization tools (e.g., Power BI, Excel).
  • Strong communication skills with the ability to present complex data to both technical and non-technical audiences.
  • Ability to manage multiple projects and collaborate effectively in interdisciplinary teams.