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Remote Esg Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Remote The client needs a full-time expert level Senior Business Analyst to perform business ... analyzing data 4. Completing analysis and documentation of as-is capabilities 5. Conducting ...

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Remote Esg Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Sep 8, 2026, the average yearly pay for remote esg data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is a remote ESG data analyst?

Remote ESG Data Analysts are professionals who collect, analyze, and interpret data related to Environmental, Social, and Governance (ESG) factors, often working from a remote location. They support organizations in evaluating their sustainability practices, compliance, and ESG performance by providing actionable insights from data. Their work helps companies make informed decisions, improve their ESG scores, and meet regulatory or stakeholder expectations. Remote ESG Data Analysts use various tools and software to access datasets, generate reports, and collaborate with teams virtually.

What skills and qualifications are needed to be a remote ESG data analyst?

To thrive as a Remote ESG Data Analyst, you need strong analytical skills, proficiency in data management, and a background in finance, sustainability, or a related field. Familiarity with ESG reporting frameworks (like GRI, SASB), data visualization tools (such as Power BI or Tableau), and advanced Excel or Python skills are typically required. Exceptional attention to detail, effective remote communication, and the ability to work independently are vital soft skills. These competencies enable accurate ESG data analysis, clear reporting, and valuable insights that support responsible investment and corporate sustainability.

How does a remote ESG data analyst typically collaborate with other departments or stakeholders?

As a Remote ESG Data Analyst, you regularly collaborate with cross-functional teams such as sustainability, investor relations, compliance, and IT. Much of the work involves gathering ESG (Environmental, Social, and Governance) data from various sources, validating its accuracy, and communicating findings or recommendations to both internal and external stakeholders. Effective communication and virtual teamwork skills are crucial since you’ll often participate in video meetings, share reports, and provide data-driven insights to support organizational ESG initiatives. This collaborative approach ensures that ESG strategies are well-integrated across the company.

What is the difference between Remote Esg Data Analyst vs Remote Sustainability Data Analyst?

AspectRemote Esg Data AnalystRemote Sustainability Data Analyst
Required CredentialsBachelor's in Data Science, Environmental Science, or related fields; familiarity with ESG frameworksBachelor's in Sustainability, Environmental Science, or related fields; knowledge of sustainability metrics
Work EnvironmentRemote, often within finance, consulting, or corporate sectorsRemote, typically in environmental organizations, NGOs, or corporate sustainability teams
Employer & Industry UsageFinancial institutions, investment firms, corporations focusing on ESG reportingEnvironmental agencies, NGOs, companies with sustainability initiatives

The main difference is that a Remote Esg Data Analyst focuses on analyzing environmental, social, and governance data primarily for investment and corporate reporting, while a Remote Sustainability Data Analyst concentrates on broader sustainability metrics and initiatives, often within environmental organizations or sustainability departments. Both roles require similar skills but serve different industry needs.

What are the most commonly searched types of Esg Data Analyst jobs in Raleigh, NC?

The most popular types of Esg Data Analyst jobs in Raleigh, NC are:

What job categories do people searching Remote Esg Data Analyst jobs in Raleigh, NC look for?

The top searched job categories for Remote Esg Data Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Esg Data Analyst jobs?

Cities near Raleigh, NC with the most Remote Esg Data Analyst job openings:

Infographic showing various Remote Esg Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Cloud Data Architect (Full-time Remote, NC Based)

Alliance

Morrisville, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture. These responsibilities include optimizing data performance and accessibility, and ensuring data quality, integrity and security.
This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.
Responsibilities & Duties
Data Architecture Design and Modelling
  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms
  • Establish data access patterns (serving layers, semantic models, APIs) to optimize downstream analytics and reporting
  • Participate in business analysis activities to elicit data product requirements

Enterprise Data Platform Strategy
  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Define future-state data architecture roadmaps aligned to organizational strategy and modernization initiatives
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms

Data Engineering Enablement
  • Define reference architectures, coding standards, and reusable patterns for data engineering teams
  • Review and approve solution designs to ensure adherence to enterprise data architecture standards
  • Provide technical mentorship and design guidance to engineers and analysts

Data Governance & Security
  • Participate in data governance council and provide input on data standards and policies to ensure data quality, security, and compliance
  • Collaborate with security and compliance teams to implement data classification, encryption, access controls, and audit logging
  • Ensure data architectures comply with HIPAA, and organizational data privacy standards

Stakeholder Collaboration & Communication
  • Capture end-user requirements and align technical solutions to strategic business objectives
  • Translate business needs into scalable, secure, and well-governed data architecture solutions
  • Provide architectural expertise and leadership guidance to data engineering teams

Minimum Requirements
Education & Experience
Bachelor's degree in computer science or related field and at least five (5) years of experience working as a Cloud Data Architect with direct involvement and responsibilities for architecting an enterprise-scale data Lakehouse or data warehouse on a Microsoft Azure cloud platform, preferably in a healthcare setting.
The following technical certification (or comparable) is required:
• Databricks Certified Data Engineer Professional
The following technical certification (or comparable) is preferred:
• Azure Security Engineer Associate (AZ-500)
Knowledge, Skills, & Abilities
  • Architecting enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development and Administration
  • Data modeling: dimensional (Kimball), star/snowflake, and SCDs
  • Enterprise governance frameworks for data quality, lineage, and metadata
  • PySpark and SQL skills for scalable batch and streaming pipelines
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Architectural artifacts & documentation (e.g., technical specs, data models, policies, procedures, architecture diagrams)
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical leadership skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Experience working with healthcare datasets

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range
$118-$150,872/Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes:
  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.