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Entry Level Cloud Data Analyst Jobs in California

Alibaba Cloud Data Engineer

Sunnyvale, CA · On-site

$63.25 - $84.50/hr

Experience with real-time data streaming (Kafka, Flink, etc.) and data analytics (Spark, Airflow). * Knowledge of cloud networking and security on Alicloud. * Exposure to DevOps practices (Terraform ...

Work within cloud platforms (primarily AWS) and apply general cloud data architecture principles. * Perform exploratory data analysis to validate assumptions, identify anomalies, and support ...

Cloud Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

The Cloud Data Engineer will ensure the reliability, performance, and security of applications ... Analyze and validate telemetry data, learn error patterns and produce views that show network ...

Cloud Data Engineer

San Jose, CA

$134K - $161K/yr

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in ...

Data Analyst

San Jose, CA · On-site

$70K - $109K/yr

* Salesforce.com, Data Stack (Warehousing, ETL, BI tools, DBT), SQL, Teradata, Power BI, * Snowflake ... Aligned analytics initiatives with major digital transformation projects, including SAP-Cloud for ...

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

This is role performs data engineering, analytics delivery, and reporting, with a focus on modern cloud data platforms, layered data architecture, Power BI reporting, and AI enabled (including ...

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

This is role performs data engineering, analytics delivery, and reporting, with a focus on modern cloud data platforms, layered data architecture, Power BI reporting, and AI enabled (including ...

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Entry Level Cloud Data Analyst information

What is an entry level cloud data analyst?

Entry level cloud data analysts are professionals who assist organizations in collecting, processing, and analyzing data stored on cloud platforms. They use tools and technologies such as SQL, Python, and cloud services like AWS, Google Cloud, or Azure to generate insights that support business decisions. Their responsibilities often include data cleaning, report generation, and creating visualizations, all while learning to optimize workflows in the cloud environment. These roles are ideal for recent graduates or individuals transitioning into cloud and data analytics fields, offering opportunities to build foundational skills and grow within the industry.

What are the key skills and qualifications needed to thrive as an entry level cloud data analyst?

To thrive as an Entry Level Cloud Data Analyst, you need a solid understanding of data analysis fundamentals, basic programming skills (often in Python or SQL), and familiarity with cloud platforms, typically supported by a relevant degree or coursework. Experience with tools like AWS, Azure, Google Cloud, and data visualization software such as Tableau or Power BI, as well as entry-level certifications like AWS Certified Cloud Practitioner, are commonly expected. Analytical thinking, problem-solving, and strong communication skills help you interpret data and collaborate with technical and non-technical teams. These skills are crucial for turning complex cloud-based data into actionable insights that drive business decisions.

How does an entry level cloud data analyst typically collaborate with other teams within an organization?

As an Entry Level Cloud Data Analyst, you'll frequently work alongside data engineers, software developers, and business analysts to ensure data is properly collected, stored, and interpreted in cloud environments. Collaboration often involves participating in meetings to discuss data requirements, sharing findings with business stakeholders, and assisting in building dashboards or reports. Effective communication and teamwork are key, as you'll be translating technical data insights into actionable information for non-technical team members. You may also support senior analysts in troubleshooting data pipeline issues and optimizing cloud-based data solutions.

What is the difference between Entry Level Cloud Data Analyst vs Cloud Data Engineer?

AspectEntry Level Cloud Data AnalystCloud Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; basic knowledge of cloud platformsBachelor's or higher in Computer Science, Software Engineering; certifications like AWS or Azure
Work EnvironmentData analysis teams, cloud platforms, reporting toolsData infrastructure, cloud architecture, data pipelines
Employer & Industry UsageTech companies, finance, healthcare, retailCloud service providers, large enterprises, tech firms
Common Search & ComparisonYesYes

The Entry Level Cloud Data Analyst focuses on interpreting data, creating reports, and supporting decision-making using cloud tools. In contrast, a Cloud Data Engineer designs and maintains data pipelines and infrastructure on cloud platforms. While both roles work within cloud environments, analysts primarily analyze data, whereas engineers build and optimize data systems.

What cities in California are hiring for Entry Level Cloud Data Analyst jobs?

Cities in California with the most Entry Level Cloud Data Analyst job openings:

Infographic showing various Entry Level Cloud Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Alibaba Cloud Data Engineer

Purple Drive

Sunnyvale, CA • On-site

$63.25 - $84.50/hr

Contractor

Posted 9 days ago


Job description

Role Descriptions:


• Hands-on experience with Alibaba Cloud data services.
• Design, build, and maintain scalable data platforms on public cloud , mainly Alibaba Cloud (Alicloud).
• Enable data-driven decision-making through robust data pipelines and architectures.
• Collaborate with cross-functional teams including Data Science, DevOps, and Business units.
• Strong SQL and experience with big data technologies.
• Proficiency in Python / Scala / Java for data engineering.
• Experience with distributed systems and data processing frameworks.
• Knowledge of data warehousing concepts and architecture.
• Familiarity with Linux environments (RHEL preferred).
• Experience with real-time data streaming (Kafka, Flink, etc.) and data analytics (Spark, Airflow).
• Knowledge of cloud networking and security on Alicloud.
• Exposure to DevOps practices (Terraform, CI/CD pipelines).
• Experience with containerization (Docker, Kubernetes)
Skills: Digital : Cloud DevOps~Digital : Python~Digital : Kafka~Digital : Kubernetes~RedHat Linux~SQL Server 2012 Development