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Remote Amazon Data Analyst Jobs in Worcester, MA

This full-time, remote position allows you to leverage your expertise in the health and fitness ... As an Oncology Data Specialist, you will play a crucial role in managing and analyzing oncology ...

... remote position. Based in Northborough, this role plays a crucial part in harnessing data to ... As an Oncology Data Specialist, you will be responsible for analyzing complex datasets, managing ...

Sr Manager, Data Science

Woonsocket, RI · On-site +1

$140K - $260K/yr

Counsels the team in data exploration, analysis, and modeling techniques to derive actionable ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

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Remote Amazon Data Analyst information

See Worcester, MA salary details

$33.9K

$82.5K

$135.7K

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

As of Aug 29, 2026, the average yearly pay for remote amazon data analyst in Worcester, MA is $82,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,800.00 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 the most commonly searched types of Amazon Data Analyst jobs in Worcester, MA?

The most popular types of Amazon Data Analyst jobs in Worcester, MA are:

What are popular job titles related to Remote Amazon Data Analyst jobs in Worcester, MA?

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

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The top searched job categories for Remote Amazon Data Analyst jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Remote Amazon Data Analyst jobs?

Cities near Worcester, MA with the most Remote Amazon Data Analyst job openings:

Claims Insights - Sr Data Analyst (Worcester, MA or Remote)

thg

Worcester, MA • On-site, Remote

Full-time

Posted 9 days ago


Job description

Our Claims Insights team is currently seeking a Senior Data Analyst in our Worcester, MA location or remote work location.  This is a full-time, exempt role.

POSITION OVERVIEW:

The Sr. Data Analyst will use claims data to provide insight into business performance.  Responsibilities will include analyzing variances in loss results compared to plan, identifying and communicating potential areas for improvement within Claims or other functions, and building out reporting analytics to provide quicker and more comprehensive insights.  Analysis may span any segment or line of business across the company.

IN THIS ROLE, YOU WILL:

  • Analyze claims data and effectively communicate conclusions in writing and verbally to internal partners (claims, actuarial, finance, state management, underwriting, etc.)  Draw insights and observations from detailed and multifaceted claims data and reports.  Present findings to senior leaders.
  • Respond to urgent/timely requests and produce routine and ad hoc information in a rapid and dynamic turnaround climate.
  • Lead the development or enhancement of complex reports and tools for multiple lines of business.  Work independently and leverages resources when needed.
  • Quantify the impacts of internal operational changes and external trends on frequency, severity, and overall loss results.
  • Develop industry knowledge and internal data expertise to provide solutions to complex business questions.  Tuned into external industry trends and best practices.
  • Work in partnership with the team and management to generate innovative solutions by approaching problems with curiosity and open-mindedness, using existing information to its fullest potential.

WHAT YOU NEED TO APPLY:

  • Bachelor's degree or higher in a relevant technical field (math, finance, actuarial science, or analytics preferred).
  • 4-6+ years of related analytical and property & casualty industry experience preferred (e.g. actuarial, business analytics, or finance).
  • Demonstrated problem-solving skills and ability to perform exploratory data analysis.
  • Expert knowledge of Excel and intermediate knowledge of SQL; ability to efficiently work with large and complex data sets.
  • Comfortable turning raw data into meaningful information; ability to summarize complex business concepts into written and oral communications (including the use of PowerPoint).
  • Comprehends key industry financial/operational metrics.
  • Strong organization, project, and time management skills; ability to multi-task and meet all deadlines with quality product.  

KEY COMPETENCIES:

  • Thoroughness: Demonstrates careful attention to detail. Keeps tasks and responsibilities clearly defined, on schedule, and error-free. Carries tasks, assignments, etc., through to completion.
  • Information Seeking: Thoroughly investigates and researches multiple sources to expose details and complete information about resources, issues, problems, and so forth. Conducts in-depth research, asks probing questions, and transcends surface issues.
  • Conceptual Thinking: Synthesizes facts, trends, inferences, and key issues and/or themes in complex situations. Recognizes patterns and relationships between apparently unrelated entities or situations.
  • Communication: Ability to effectively communicate complex information effectively in written and oral form. Tells a story with data so that audience can see clear action.
  • Relationship Building: Understands the importance of developing and maintaining positive, collaborative relationships with others at all levels of the organization in order to accomplish organizational goals.
  • Results Oriented: Has a pro-active, inquisitive attitude. Excited by challenging goals and a desire to exceed standards of excellence. Exceeding the standard can include challenging personal goals, organization's standards, or current industry standards.

 PHYSICAL DEMANDS and WORK ENVIRONMENT:

  • Ability to use a personal computer and other standard office equipment
  • Ability to work in a fast paced or stressful environment
  • Ability to travel as necessary
  • Ability to sit and/or stand for extended periods

This job posting provides cursory examples of some of the job duties associated with this position.  The examples provided are not complete, and the position may entail other essential and job-related functions and responsibilities that employees will be required to perform.