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Volunteer Cloud Data Analyst Jobs (NOW HIRING)

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data ...

Cloud Data Architect

Somerset, NJ · On-site

$67.25 - $86.75/hr

Lead Analytics Modernization and Legacy EDW Migration * Define target-state architectures and ... legal plan, voluntary life and AD&D insurance, voluntary long-term disability, short term ...

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

TITLE: Senior Data Analyst Location: Chicago, IL (some travel to McLean, VA maybe required ... AWS (S3) : Experience consuming and managing data in cloud storage. * Snowflake : Hands-on ...

Cloud Data Architect

Somerset, NJ

$67.25 - $86.75/hr

Lead Analytics Modernization and Legacy EDW Migration * Define target-state architectures and ... legal plan, voluntary life and AD&D insurance, voluntary long-term disability, short term ...

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data ...

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on ...

Sr BA/ Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

... with cloud data platforms (e.g., Snowflake, BigQuery, Redshift) Demonstrated experience in healthcare, life sciences, diagnostics, or regulated environments Strong experience in Agile/Scrum ...

Cloud Data Engineer

Minneapolis, MN · Remote

$57 - $76.25/hr

Job Role - Cloud Data Engineer Location - Minneapolis, MN(Remote) Job Details: * Minimum of 5+ ... Strong analytical skills and attention to detail. * * Ability to adapt to new technologies and ...

Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud ... volunteerism, and paid personal and professional development provided * PTO and paid holidays ...

Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud ... volunteerism, and paid personal and professional development provided * PTO and paid holidays ...

Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud ... volunteerism, and paid personal and professional development provided * PTO and paid holidays ...

Cloud Data Platform Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

... data warehousing, analytics, artificial intelligence capabilities, and business-critical data ... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ...

Cloud Data Platform Engineer

Chicago, IL

$57.50 - $76.75/hr

... data warehousing, analytics, artificial intelligence capabilities, and business-critical data ... insurance, and other voluntary and well-being benefits. Northern Trust also provides a ...

Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud ... volunteerism, and paid personal and professional development provided * PTO and paid holidays ...

Familiarity with cloud data platforms including Databricks, Spark, Azure, AWS, or similar ... Analyze, profile, and document enterprise data flows, business rules, and data lineage. * Support ...

Showing results 21-40

Volunteer Cloud Data Analyst information

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$34K

$82.6K

$136K

How much do volunteer cloud data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for volunteer cloud 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.

How does a volunteer cloud data analyst typically collaborate with other team members in a non-profit setting?

As a Volunteer Cloud Data Analyst in a non-profit organization, you’ll often work closely with program managers, IT staff, and other volunteers to gather, analyze, and interpret data hosted on cloud platforms. Collaboration is usually done through regular virtual meetings, shared cloud workspaces, and project management tools to ensure data integrity and alignment with organizational goals. You may also provide training or support to less tech-savvy team members, making communication skills essential. This collaborative environment offers a chance to develop both technical and interpersonal skills while directly contributing to impactful projects.

What is a volunteer cloud data analyst?

A Volunteer Cloud Data Analyst is someone who donates their time and expertise to help organizations analyze, interpret, and visualize data stored in cloud-based systems. These analysts often work with non-profits, charities, or community groups to help them make data-driven decisions using tools like Google Cloud, AWS, or Microsoft Azure. Responsibilities can include cleaning data, creating dashboards, and generating reports to support the organization's mission. Volunteering in this role is a great way to gain experience, contribute to meaningful causes, and build professional skills in cloud data technologies.

What skills and qualifications are needed to thrive as a volunteer cloud data analyst?

To thrive as a Volunteer Cloud Data Analyst, you need a solid background in data analysis, statistics, and familiarity with cloud platforms like AWS, Google Cloud, or Azure, often supported by a degree in a related field. Proficiency in tools such as SQL, Python, and cloud-based data warehousing solutions, as well as relevant certifications like AWS Certified Data Analytics, is highly beneficial. Strong communication, problem-solving, and a collaborative attitude are key soft skills that set you apart in this role. These competencies enable effective data-driven decision-making and ensure successful project outcomes in a dynamic, remote, and team-oriented environment.
What cities are hiring for Volunteer Cloud Data Analyst jobs? Cities with the most Volunteer Cloud Data Analyst job openings:
What are the most commonly searched types of Cloud Data Analyst jobs? The most popular types of Cloud Data Analyst jobs are:
What states have the most Volunteer Cloud Data Analyst jobs? States with the most job openings for Volunteer Cloud Data Analyst jobs include:

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Re-posted 15 days ago


Job description

Data Analyst
 
Must Have Technical/Functional Skills
SQL , Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(Google Cloud Platform), Data Integration & ETL, AI/ML Fundamentals
 
The Role
As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and governing financial data while supporting the development and implementation of AI-enabled solutions. You will collaborate with engineers, product managers, data stewards, and business stakeholders to ensure high-quality, reliable, and compliant data assets that drive business decisions and customer-facing solutions.
This role provides opportunities to deepen your expertise in data analytics, data management, data governance, reporting, regulatory compliance, and cloud-based data platforms, while gaining hands-on exposure to Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI technologies. Working within a highly regulated financial environment, you will contribute to building scalable data solutions and support AI initiatives under the guidance of experienced engineers and data leaders.
 
Responsibilities
• Analyze and interpret large financial datasets to generate actionable insights, support decision-making, and improve business outcomes.
• Support data management initiatives, including data quality, data lineage, metadata management, master data management, and data lifecycle processes.
• Contribute to the implementation and maintenance of data governance frameworks, policies, standards, controls, and regulatory compliance requirements.
• Collaborate with cross-functional teams to ensure data accuracy, consistency, accessibility, and governance across enterprise data platforms.
• Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and analytical models to support business and operational needs.
• Participate in cloud-based data platform initiatives, including data migration, integration, automation, and process optimization activities.
• Support AI and machine learning initiatives by preparing, validating, and governing datasets used for model development and deployment.
• Gain hands-on experience with AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions, while assisting in the development and testing of AI-powered features and workflows.
• Contribute to monitoring, evaluating, and improving data and AI solution performance, reliability, and compliance in production environments.
• Work closely with product managers, engineers, data stewards, and business stakeholders to translate business requirements into scalable data and analytics solutions.
• Support the documentation of data governance processes, data dictionaries, business rules, and operational procedures to ensure transparency and compliance.
• Participate in continuous improvement efforts focused on data quality, governance maturity, automation, and AI adoption across the organization.
Preferred Skills & Experience
• Experience in Data Analysis, Data Management, Data Governance, Data Quality, Reporting, and Regulatory Compliance.
• Knowledge of SQL, data visualization tools (Power BI, Tableau, Looker, etc.), and cloud-based data platforms.
• Understanding of data governance concepts, including metadata management, data lineage, data stewardship, and data controls.
• Exposure to cloud technologies such as Google Cloud Platform (Google Cloud Platform), AWS, or Azure.
• Beginner-level knowledge or hands-on experience with Artificial Intelligence (AI), Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Agentic AI concepts.
• Strong analytical, problem-solving, communication, and stakeholder management skills.