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Part Time Sustainability Data Analyst Jobs (NOW HIRING)

Senior Data Analyst (Part-Time)

Arlington, VA ยท On-site

$98K - $124K/yr

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding. Responsibilities include: * Work as ...

Data Analyst IV

Atlanta, GA ยท On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

The Analyst would be responsible for supporting methods development and data analysis for a variety of projects, and may have opportunities to contribute to the implementation of an effective ...

Sr. Data Analyst

$88K - $111K/yr

We are requesting a part-time (50%) Sr Data Analyst contractor from the US, who can be available as early as 730 PT to work with our offshore IST team and support multiple projects. The location ...

As a data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst, Mid

Arlington, VA ยท On-site

$77K - $176K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst, Senior

Columbia, MD ยท On-site

$85K - $107K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Senior Data Analyst (part-time)

Arlington, VA ยท On-site

$99K - $125K/yr

... support the data analytic development process and creating models, dashboards, and reports ... sustainability of our customers and their missions. Our combination of technical expertise, big ...

Senior Data Analyst

Chicago, IL ยท On-site

$76K - $100K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

The Lead Data Analyst will participate in data management, statistical analysis, assist with grant ... Fixed Term (Fixed Term) Time Type: Part time Scheduled Weekly Hours: 18 Position Work Location:

Cyber Data Analyst

Chantilly, VA ยท On-site

$62K - $141K/yr

Share Cyber Data Analyst The Opportunity: As a cyber data analyst, you love diving into data and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Sustainability Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do part time sustainability data analyst jobs pay per year?

As of Jun 11, 2026, the average yearly pay for part time sustainability data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Part Time Sustainability Data Analyst might work on?

As a Part Time Sustainability Data Analyst, you can expect to work on projects such as collecting and analyzing data related to energy usage, waste management, or carbon emissions for your organization. Your daily responsibilities may include preparing sustainability reports, supporting the development of environmental impact metrics, and collaborating with sustainability managers or cross-functional teams to recommend data-driven improvements. The part-time nature of the role often means you'll focus on specific projects or data sets, and time management is key to meeting deadlines while balancing other commitments.

What does a Part Time Sustainability Data Analyst do?

A Part Time Sustainability Data Analyst collects, analyzes, and interprets data related to environmental impact, resource use, and sustainability initiatives for an organization. Their work often involves tracking metrics such as energy consumption, waste generation, carbon emissions, and water usage. By generating reports and identifying trends, they help organizations make informed decisions to improve their sustainability performance. Working part time, they may focus on specific projects or support ongoing sustainability efforts, contributing valuable insights while maintaining a flexible schedule.

What are the key skills and qualifications needed to thrive as a Part Time Sustainability Data Analyst, and why are they important?

To thrive as a Part Time Sustainability Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in sustainability or environmental science, often supported by a relevant degree. Familiarity with data analysis tools such as Excel, Tableau, or Python, and experience with sustainability reporting frameworks like GRI or CDP, are commonly required. Attention to detail, problem-solving, and effective communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for accurately measuring sustainability performance and driving data-informed environmental initiatives.

What is the difference between Part Time Sustainability Data Analyst vs Part Time Environmental Data Analyst?

AspectPart Time Sustainability Data AnalystPart Time Environmental Data Analyst
Required CredentialsBachelor's in Environmental Science, Sustainability, or related fields; data analysis skillsBachelor's in Environmental Science, Environmental Engineering, or related fields; data analysis skills
Work EnvironmentCorporate sustainability teams, NGOs, consulting firmsEnvironmental agencies, consulting firms, NGOs
Employer & Industry UsageCompanies focusing on sustainability reporting, CSR, and green initiativesOrganizations monitoring environmental impact, compliance, and conservation

The main difference is that a Part Time Sustainability Data Analyst focuses on broader sustainability metrics, including social and economic factors, while a Part Time Environmental Data Analyst concentrates specifically on environmental data and impact assessments. Both roles require similar educational backgrounds and data skills but serve different organizational goals within the sustainability and environmental sectors.

More about Part Time Sustainability Data Analyst jobs
What cities are hiring for Part Time Sustainability Data Analyst jobs? Cities with the most Part Time Sustainability Data Analyst job openings:
What are the most commonly searched types of Sustainability Data Analyst jobs? The most popular types of Sustainability Data Analyst jobs are:
What states have the most Part Time Sustainability Data Analyst jobs? States with the most job openings for Part Time Sustainability Data Analyst jobs include:
What job categories do people searching Part Time Sustainability Data Analyst jobs look for? The top searched job categories for Part Time Sustainability Data Analyst jobs are:
Infographic showing various Part Time Sustainability Data Analyst job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 89% Full Time, and 8% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Data Analyst (Part-Time)

Senior Data Analyst (Part-Time)

ECS

Arlington, VA โ€ข On-site

$98K - $124K/yr

Part-time

Posted 3 days ago


Job description

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding.
Responsibilities include:
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting, summarizing, and reporting.
  • Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
  • Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
  • Assist with training and conference development which may include presentations to large audiences.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Coordinate with staff and customers to identify business and technical requirements.
  • Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
  • Assist the agency in the development of programming and visualization solutions.
  • Troubleshoot and provide support on existing projects or application efforts.
  • Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Analyze Postal Service operations to identify potential fraud schemes, actors, and methods.
  • Participate in site visits with staff and interpret in-the-field observations, identify corresponding data, perform analysis, and identify broader findings.

  • Must be able to obtain a USPS Public Trust
  • Degree in Computer Science, Information Technology, Data Analytics, or related field.
  • 7+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
  • 3+ years' experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
  • 1+ year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
  • In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
  • Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
  • Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Ensure that quality/security guidelines are followed.
  • Strong relational database and querying languages experience.
  • Strong verbal and written communication skills.
  • Must be able to work effectively in a team environment.
  • Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
  • Knowledge of ODBC connection strings, and other external data source connection protocols.
  • Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.
  • Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
  • Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.
  • Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Experience applying analytic techniques to detect fraud in Postal Service operations.
  • Extensive background in statistical analysis and skilled in advanced statistical methods and software.
  • Able to work independently or with teams across functions professionally.
  • Capable of writing concise, comprehensive communications on complex issues for the intended audience.
  • Able to communicate methodology and results clearly in writing and verbally, including findings from research.