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Remote Environmental Data Analyst Jobs in Ridgefield, CT

Data Scientist

Stamford, CT ยท On-site +1

Ability to work effectively in a team environment with minimal supervision * Experience with analytical and statistical software * Proficient using data science toolkits such as Python

Data Scientist

West Haven, CT ยท On-site +1

$125K - $163K/yr

Uses multiple software packages and operating system environments suitable for working with, manipulating, and analyzing large datasets. * Contributes to and maintains a transparent and reusable data ...

Sales Analyst

Fairfield, CT ยท On-site +1

$75K - $95K/yr

๐Ÿ” About the Role We're seeking a data-driven Sales Analyst with sharp business acumen and a ... This role is perfect for someone who thrives in a collaborative environment, wants visibility ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Be Seen First

The ideal candidate is self-motivated, detail-oriented, thrives in a fully remote environment, and ... Gather and analyze client financial information and supporting documentation. * Work extensively in ...

Be Seen First

The ideal candidate is self-motivated, detail-oriented, thrives in a fully remote environment, and ... Gather and analyze client financial information and supporting documentation. * Work extensively in ...

Showing results 21-40

Remote Environmental Data Analyst information

See Ridgefield, CT salary details

$33.9K

$82.3K

$135.4K

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

As of Aug 9, 2026, the average yearly pay for remote environmental data analyst in Ridgefield, CT is $82,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $96,600.00 per year, depending on experience, location, and employer.

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

A Remote Environmental Data Analyst should have a solid background in environmental science, statistics, and data analysis, typically supported by a relevant degree. Familiarity with data analysis tools like R, Python, GIS software, and remote sensing platforms is essential, along with experience handling large environmental datasets. Strong analytical thinking, attention to detail, and effective written communication are critical soft skills for interpreting data and collaborating remotely. These competencies enable accurate environmental assessments and support informed decision-making for sustainability initiatives.

What does a remote environmental data analyst do?

A Remote Environmental Data Analyst collects, processes, and interprets environmental data such as air quality, water resources, or climate information, all while working from a remote location. They use statistical tools and software to analyze large datasets, identify patterns, and produce reports that support environmental research or policy decisions. Their work often involves collaborating with scientists, government agencies, or private organizations to help monitor and address environmental issues. Strong analytical skills and proficiency in data analysis software are essential for this role.

How does a remote environmental data analyst typically collaborate with other team members and stakeholders?

As a Remote Environmental Data Analyst, you often work closely with interdisciplinary teams that may include scientists, engineers, project managers, and government agencies. Collaboration is typically facilitated through digital communication tools, shared data platforms, and regular virtual meetings. Your role often involves interpreting data, generating reports, and presenting findings to both technical and non-technical stakeholders. Strong communication skills are essential, as you may need to explain complex data trends or offer actionable recommendations to support environmental projects and policy decisions.
What job categories do people searching Remote Environmental Data Analyst jobs in Ridgefield, CT look for? The top searched job categories for Remote Environmental Data Analyst jobs in Ridgefield, CT are:
What cities near Ridgefield, CT are hiring for Remote Environmental Data Analyst jobs? Cities near Ridgefield, CT with the most Remote Environmental Data Analyst job openings:
Infographic showing various Remote Environmental Data Analyst job openings in Ridgefield, CT as of July 2026, with employment types broken down into 76% Full Time, 12% Part Time, 2% Temporary, and 10% Contract. Highlights an 2% In-person, and 98% Remote job distribution, with an average salary of $82,305 per year, or $39.6 per hour.

Data Scientist

Customer Operations

Stamford, CT โ€ข On-site, Remote

Full-time

Posted 9 days ago


Job description

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Do you thrive on transforming complex data into actionable insights that drive business growth? At Spectrum, youโ€™ll use advanced statistical techniques and machine learning to develop impactful solutions for real-world challenges, collaborating across teams and communicating your findings to stakeholders at all levels. Your expertise will shape decisions and deliver measurable results that matter.

This position is in an office environment with a hybrid work schedule. Eligible employees can work from home up to one day each week.


How Youโ€™ll Make an Impact

  • Responsible for the full end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of financial impact.
  • Partner with cross-functional teams to implement models in production and conduct post-launch testing and enhancements.
  • Apply analytical and statistical algorithms to help stakeholders enhance their business strategies
  • Collaborate on the design and implementation of data quality procedures for both current and new data sources
  • Communicate data science solutions and complex analyses clearly to team members and business leaders
  • Establish connections across existing data sources and uncover new data correlations
  • Present data insights and recommendations to key stakeholders to inform business decisions
  • Ensure testing and validation are integral to all analytics solutions, achieving project goals within deadlines while proactively communicating progress

What Youโ€™ll Bring to Spectrum

Required Qualifications

Education

  • Bachelorโ€™s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 3 years in data analytics
  • 2 years programming experience

Skills

  • Effective verbal and written communication, relationship management and customer service skills
  • Building Logistic Regression models, Random Forest models, XGBoost models using Python
  • Ability to work effectively in a team environment with minimal supervision
  • Experience with analytical and statistical software
  • Proficient using data science toolkits such as Python
  • Comprehensive SQL skills
  • Strong analytical and problem-solving skills, attention to detail and data accuracy
  • Capacity for in-depth and independent research and analysis
  • Ability to maintain confidentiality and handle sensitive information appropriately
  • Deep understanding of computer science principles including algorithms, data structures and design methodologies
  • Familiarity with big data tools such as Spark and Hive

#LI-JV1
BDA303 2026-77930 2026
Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.
A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more.

Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
Qualifications:

What Youโ€™ll Bring to Spectrum

Required Qualifications

Education

  • Bachelorโ€™s degree in computer science, statistics, operations research or equivalent combination of education and experience

Experience

  • 3 years in data analytics
  • 2 years programming experience

Skills

  • Effective verbal and written communication, relationship management and customer service skills
  • Building Logistic Regression models, Random Forest models, XGBoost models using Python
  • Ability to work effectively in a team environment with minimal supervision
  • Experience with analytical and statistical software
  • Proficient using data science toolkits such as Python
  • Comprehensive SQL skills
  • Strong analytical and problem-solving skills, attention to detail and data accuracy
  • Capacity for in-depth and independent research and analysis
  • Ability to maintain confidentiality and handle sensitive information appropriately
  • Deep understanding of computer science principles including algorithms, data structures and design methodologies
  • Familiarity with big data tools such as Spark and Hive
Employment Type: Full Time