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Remote Amazon Data Analyst Jobs in Vermont (NOW HIRING)

Green Mountain Power

Data Engineer

Colchester, VT · On-site +1

$150K/yr

Data Engineer (Remote) Green Mountain Power Corporation seeks a Data Engineer to collect, clean, and analyze large, complex datasets from multiple sources, including APIs, data streams, and databases ...

Demand.com

Marketing Director (Remote)

Burlington, VT · Remote

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

Revvity

Sr. Tax Manager (REMOTE)

Montpelier, VT · On-site +1

$134K - $167K/yr

... MA, or remote for candidates based on the East Coast. Key Responsibilities: * Support cross ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

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Remote Amazon Data Analyst information

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 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 popular job titles related to Remote Amazon Data Analyst jobs in Vermont?

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

What job categories do people searching Remote Amazon Data Analyst jobs in Vermont look for?

The top searched job categories for Remote Amazon Data Analyst jobs in Vermont are:

What cities in Vermont are hiring for Remote Amazon Data Analyst jobs?

Cities in Vermont with the most Remote Amazon Data Analyst job openings:

Remote Amazon Data Analyst jobs near you
Infographic showing various Remote Amazon Data Analyst job openings in Vermont as of August 2026, with employment types broken down into 76% Full Time, 18% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

Data Engineer

Green Mountain Power

Colchester, VT • On-site, Remote

$150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer (Remote)

Green Mountain Power Corporation seeks a Data Engineer to collect, clean, and analyze large, complex datasets from multiple sources, including APIs, data streams, and databases, to generate actionable insights. Build, validate, and deploy machine learning models and algorithms using best practices in data science and reproducible research. Apply statistical modeling, machine learning, and predictive analytics to solve business problems and improve decision-making. Analyze source systems, define data transformation requirements, and design suitable data models. Collaborate with the Data & analytics team to ensure data quality, resolve data-related challenges, and identify opportunities for new data-driven solutions. Implement data privacy, security, and compliance best practices when handling sensitive or regulated data. Continuously evaluate and adopt new methods, tools, and techniques to improve the accuracy, efficiency, and scalability of analytics solutions. Support both Agile and Waterfall project methodologies while delivering models, insights, and recommendations on time. Telecommuting permitted. 5% domestic travel required.  Salary Range: $145,683 – 150,000 per year

JOB REQUIREMENTS:

Requires a Bachelor\'s degree (or foreign equivalent) in Computer Science, Information Technology, Biotechnology, or a related field and 7 years of experience in data or software engineering. Experience must include: Programming Languages: PL/SQL, Java, Python, HTML, Salesforce SOQL, Unix Shell Scripting; ETL & BI Tools: Talend (Cloud & ESB), Oracle Data Integrator, Informatica, Apache Airflow, Azure Data Factory, OBIEE, Tableau, and Power BI; Database Technologies: Snowflake, Oracle, SQL Server, PostgreSQL, MongoDB, Hadoop, Spark, Hive, Impala, and HDFS; Cloud Platforms: AWS S3, Microsoft Azure, and Google Cloud Platform (GCP); Data Modeling & Design: Star Schema, Snowflake Schema, and Dimensional Modeling Version Control: Git, GitHub, and GitLab; Data Integration & APIs: RESTful APIs, WSDL, JSON, XML, Postman, and SoapUI; API Development & Management: Snowflake Streamlit, microservices architecture, and cursor-based operations; Security & Compliance: Active Directory, SSL/TLS, encryption, and data governance standards; Operating Systems: Windows, Linux, UNIX, and Mainframes; Project Management Tools: JIRA, Monday.com; and Development Methodologies: Agile and Waterfall. Telecommuting permitted. 5% domestic travel required.

THIS POSITION IS ELIGIBLE FOR THE EMPLOYEE REFERRAL PROGRAM

Apply online at https://greenmountainpower.com/careers/ (Job ID: 4042189).

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