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Entry Level Cloud Data Analyst Jobs (NOW HIRING)

Working within cloud environments (Snowflake/AWS), the analyst will execute complex data requests, perform deep-dive profiling, and resolve data discrepancies to support the Department s ...

Working within cloud environments (Snowflake/AWS), the analyst will execute complex data requests, perform deep-dive profiling, and resolve data discrepancies to support the Department ...

Working within cloud environments (Snowflake/AWS), the analyst will execute complex data requests, perform deep-dive profiling, and resolve data discrepancies to support the Department ...

Leverage your advanced SQL skills and expertise in large-scale cloud data platforms to drive ... Analyze and optimize large, complex datasets to deliver actionable business intelligence. - Develop ...

Data Analyst

Trenton, NJ · On-site

$70 - $110/hr

Working within cloud environments (Snowflake/AWS), the analyst will execute complex data requests, perform deep-dive profiling, and resolve data discrepancies to support the Department ...

Data Analyst

Trenton, NJ · On-site

$45 - $50/hr

Working within cloud environments (Snowflake/AWS), the analyst will execute complex data requests, perform deep-dive profiling, and resolve data discrepancies to support the Department ...

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 ...

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 ...

Exposure to cloud data platforms such as AWS, Azure, or Google Cloud is a plus. * Experience ... Analytical Mindset * Problem Solving * Attention to Detail * Communication Skills * Time Management

Sr. Data Analyst

Juno Beach, FL · On-site

$84K - $106K/yr

Strong experience in data engineering, dimensional modeling, and analytics is required. Preferred ... Familiarity with BI tools such as Power BI, cloud data platforms, and data warehouse architecture ...

We are looking for a Data Analyst with strong experience in Data Analytics, Python, Generative AI ... Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform . * Experience evaluating ...

New

... cloud computing technologies like Microsoft Azure and distributed computing technologies like ... Entry-Level Job Family: Engineering/Science/Technology Product Service Line: Production ...

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Entry Level Cloud Data Analyst information

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How much do entry level cloud data analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for entry level cloud data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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.

More about Entry Level Cloud Data Analyst jobs

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

Cities with the most Entry Level 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 Entry Level Cloud Data Analyst jobs?

States with the most job openings for Entry Level Cloud Data Analyst jobs include:

Infographic showing various Entry Level Cloud Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

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Job description

Data Analyst

Location: Trenton, NJ ( Hybrid ) 3 days onsite and 2 days remote

Duration: Contract

Interview Type: In Person Interview

Short Description:

Data Analyst provides technical analysis, automation, & fulfillment of data requests. Proficiency in Snowflake, SQL and Python required. Execute complex data requests, perform deep-dive profiling, & resolve data discrepancies to support.

Complete Description:

  • The Data Analyst is responsible for the technical analysis, automation, and fulfillment of enterprise data requests within the Department s digital infrastructure. This role requires a high degree of proficiency in Snowflake SQL and Python to manage complex data workflows. The Analyst will be responsible for not only writing new scripts to automate ticket resolutions but also for auditing, understanding, and optimizing existing codebase to ensure system continuity. Working within cloud environments (Snowflake/AWS), the analyst will execute complex data requests, perform deep-dive profiling, and resolve data discrepancies to support the Department s modernization initiatives.
  • Snowflake SQL Development: Write, debug, and optimize complex SQL scripts within the Snowflake environment to fulfill ad-hoc data requests and perform system-wide data analysis.
  • Codebase Auditing: Review and interpret existing Python and SQL code to troubleshoot errors, suggest improvements, and ensure new automations align with established logic.
  • Support Automation: Develop and deploy Python-based scripts to automate the resolution of recurring support tickets, significantly reducing manual intervention for common data tasks.
  • Cloud Data Operations: Perform data profiling and validation within Snowflake and AWS to ensure data integrity across the Project Nexus ecosystem.
  • Request Fulfillment: Serve as the technical point of contact for complex data inquiries, translating business requirements into precise technical deliverables.

Required / Desired Skills

  • Snowflake SQL (Scripting & Optimization) Required 3 Years
  • Python Programming (Data/Automation) Required 3 Years
  • Code Review & Interpretation Required 3 Years
  • Data Analysis & Profiling Required 3 Years
  • Automated Scripting for Ticket Resolution Required 3 Years
  • Excellent Communication Skills Required 3 Years
  • Cloud Data Warehouse (AWS) Desired 3 Years