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Remote Sustainability Data Analyst Jobs in Riverside, CA

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

You will partner with product, engineering, analytics, ML, finance, risk, and customer-facing teams to translate needs into durable data designs. This is a hands-on, remote role where you will both ...

Senior Functional Analyst (Remote)

Santa Ana, CA · Remote

$91K - $121K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Identifyopportunities to reduce manual effort, improve data quality, and increase operational efficiency. WHAT YOU'LL BRING * 7+ years of experience as a Functional Analyst, Business Analyst, Product ...

Data Science Manager

Irvine, CA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and ... analysis methods * Foster a high-performing team culture through coaching, mentoring, and ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

Remote Sustainability Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

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

As of Aug 14, 2026, the average yearly pay for remote sustainability data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Sustainability Data Analyst, you need strong analytical skills, expertise in environmental science or related fields, and proficiency in data analysis, usually supported by a relevant degree. Familiarity with data visualization tools (such as Tableau or Power BI), statistical software (like R or Python), and sustainability reporting frameworks (such as GRI or CDP) is typically required. Excellent communication, problem-solving, and self-motivation are important soft skills for remote collaboration and translating data into actionable insights. These abilities are crucial for effectively supporting organizations in tracking, reporting, and achieving their sustainability goals.

How does a remote sustainability data analyst typically collaborate with cross-functional teams while working remotely?

As a Remote Sustainability Data Analyst, you’ll frequently collaborate with teams such as sustainability managers, operations, and IT through virtual meetings, shared dashboards, and project management platforms. Effective communication is key, as you’ll need to present data insights and recommendations clearly to both technical and non-technical stakeholders. While working remotely offers flexibility, it also requires proactive engagement and strong organizational skills to stay aligned with team objectives and project timelines.

What is a remote sustainability data analyst?

A Remote Sustainability Data Analyst is a professional who collects, analyzes, and interprets data related to environmental, social, and governance (ESG) practices for organizations, all while working remotely. They help companies understand their sustainability performance by providing actionable insights through data analysis, reporting, and visualization. Their work supports decision-making for sustainability initiatives, compliance with regulations, and achieving corporate sustainability goals. Remote Sustainability Data Analysts typically use various data tools and collaborate with teams online to fulfill their responsibilities.

What are the most commonly searched types of Sustainability Data Analyst jobs in Riverside, CA?

The most popular types of Sustainability Data Analyst jobs in Riverside, CA are:

What are popular job titles related to Remote Sustainability Data Analyst jobs in Riverside, CA?

For Remote Sustainability Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Remote Sustainability Data Analyst jobs in Riverside, CA look for?

The top searched job categories for Remote Sustainability Data Analyst jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Remote Sustainability Data Analyst jobs?

Cities near Riverside, CA with the most Remote Sustainability Data Analyst job openings:

Principal Data Architect

NextDeavor Inc.

Irvine, CA • Remote

$126K - $214K/yr

Contractor

Re-posted 12 days ago


Job description

Principal Data Architect
Full-time
Remote
Exclusive confidential search — details shared with qualified applicants.
 
Become a Key Player as a Principal Data Architect

You will design and build the enterprise data architecture that enables analytics, operations, and customer-facing data products for the organization. You will partner with product, engineering, analytics, ML, finance, risk, and customer-facing teams to translate needs into durable data designs. This is a hands-on, remote role where you will both define standards and implement critical models and reference implementations.

Here's How You'll Make an Impact on the Team
  • Define the enterprise data architecture across conceptual, logical, and physical models for analytical and operational platforms.
  • Design and maintain a meta-model capturing entities, relationships, business definitions, ownership, lineage, sensitivity classifications, and SLAs; integrate it with tooling.
  • Architect and drive lakehouse strategy (medallion bronze/silver/gold Delta Lake patterns), including partitioning, clustering, schema evolution, SCDs, and reproducibility.
  • Write PySpark, SQL, and Delta Lake code; build reference implementations, prototype patterns, review pull requests, and personally model critical domains.
  • Set patterns for ingestion via enterprise integration platforms and Databricks pipelines, including CDC, batch, streaming, and API-based sourcing.
  • Partner with governance, security, and compliance to operationalize cataloging, lineage, classification, masking, and access controls (e.g., Unity Catalog, IDMC).
  • Establish and standardize data modeling practices, naming conventions, and review processes; coach engineers on dimensional modeling and Data Vault approaches.
  • Identify tooling and capability gaps, propose investments, and drive multi-quarter initiatives to improve how the organization uses data.
Here's What You'll Need to Be Successful in This Role
  • 12–15+ years of progressive experience in data engineering, data warehousing, and data architecture, with several recent years at the architect level.
  • Demonstrated experience as a Data Architect at a SaaS company in FinTech or financial services software.
  • Deep, hands-on expertise with Databricks and PySpark on Azure, including Delta Lake, Unity Catalog, structured streaming, and performance tuning at scale.
  • Production experience with Informatica Data Management Cloud (IDMC) or comparable enterprise integration platforms.
  • Proven track record designing and shipping meta-models and end-to-end data models (conceptual, logical, physical) to production.
  • Strong command of dimensional modeling (Kimball), Data Vault 2.0, and modern lakehouse patterns; ability to choose the right approach per use case.
  • Expert SQL skills and strong proficiency in Python/PySpark; comfortable writing production code.
  • Experience implementing data governance, lineage, and metadata management programs.
  • Working knowledge of FinTech-relevant regulatory and compliance considerations (e.g., GLBA, SOC 2, PCI, NIST, state lending regulations).
  • Excellent written and verbal communication skills; able to explain complex data concepts to engineers, executives, customers, and auditors.
Here's What Else Might Help You Out
  • Prior experience designing data architectures for multi-tenant SaaS platforms with customer-facing analytics or embedded reporting.
  • Experience supporting loan origination, deposit account opening, or other consumer lending workflows and related data domains (applicants, applications, decisions, funding, servicing, credit data, fraud, KYC/AML).
  • Experience building feature stores or curated data products serving ML/AI workloads and BI consumers.
  • Familiarity with Azure data services (ADLS Gen2, Azure Data Factory, Event Hubs, Synapse, Purview) in conjunction with Databricks.
  • Experience with dbt, Great Expectations, or other modern data quality and transformation tooling on Databricks.
  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
Pay Range

$126K to 214K/year

Ready to Make Your Mark?

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