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Entry Level Cloud Data Analyst Jobs (NOW HIRING)

BankUnited

Cloud Data Engineer II

Miami Lakes, FL · On-site

$50.50 - $67.50/hr

Designs, develops, and implements cloud-based data and analytics solutions leveraging AWS, Snowflake, dbt, and related technologies. * Builds, maintains, and optimizes scalable data pipelines, ELT ...

Mercedes-Benz Cars UK Limited

Cloud Data Engineer

Fort Worth, TX

$50 - $67/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive analysis that provides meaningful insights on business strategies * Support teams in data migration activities, building AI and automation capabilities. * Have working knowledge of Azure cloud ...

Daimler

Cloud Data Engineer

Fort Worth, TX · On-site

$50 - $67/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive analysis that provides meaningful insights on business strategies * Support teams in data migration activities, building AI and automation capabilities. * Have working knowledge of Azure cloud ...

Stellar IT Group

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 ...

Quarterhill

Data Analyst - Contract

Frisco, TX · On-site

Experience with cloud data platforms (e.g., BigQuery, GCP, AWS). * Familiarity with ETL / data pipeline concepts. * Version control (Git) in a team analytics workflow. * Prior experience in a ...

WORKSIMPLI SOFTWARE LLC

PR · On-site

$45K - $55K/yr

  • Medical

  • PTO

???? Data Analyst ???? Location: San Juan, Puerto Rico (Hybrid - Remote Wednesdays) ???? Job Type ... Experience with cloud data warehouses (BigQuery, Redshift, Snowflake). * Exposure to A/B testing ...

Inspire11

Data Analyst

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Leveraging cloud data platforms (e.g., Fabric, Snowflake, Databricks, Redshift, Synapse) to access and analyze data at scale. * Interfacing directly with clients throughout the project lifecycle ...

Inspire11

Data Analyst

Chicago, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Leveraging cloud data platforms (e.g., Fabric, Snowflake, Databricks, Redshift, Synapse) to access and analyze data at scale. * Interfacing directly with clients throughout the project lifecycle ...

NAVA Software Solutions

Sr. Data Analyst - Remote

Manhattan, NY · On-site +1

$94K - $119K/yr

Details: Sr. Data Analyst Duration: Full time / Direct Hire Location: 100% Remote but candidate ... Familiarity with a Business-to-Business environment demands and a Cloud Data Science Platform (AWS ...

OCLC, Inc.

Associate Data/ Metadata Analyst

Dublin, OH · On-site

  • Medical

  • Retirement

Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and ... This entry-level role combines metadata expertise with developing technical skills in scripting ...

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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 Aug 15, 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 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 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.

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 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.
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Entry Level Cloud Data Analyst jobs near you
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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Data Scientist/Data Analyst/Data Engineer - Entry Level remote

SynergisticIT

Elizabeth, NJ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Junior Data Scientisit/Data Analyst/Data Engineer — Build the Backbone of Data-Driven Teams Data engineering is a powerful path for candidates who like databases, pipelines, Python, SQL, and systems thinking. Data scientists and analysts depend on clean, accessible, reliable data—and data engineers help make that possible. Entry-level candidates can stand out by showing they understand data movement, transformation, storage, and workflow basics. SynergisticIT is seeking candidates interested in SQL, Python, ETL, data pipelines, databases, data modeling, cloud data tools, analytics engineering, and data warehouse concepts. This opportunity is ideal for candidates who want to build a technical data career beyond dashboards or notebooks. SynergisticIT JOPP is good for junior data engineering candidates because it helps them develop practical technical depth and job-ready proof. Candidates can work toward stronger projects, better resume alignment, interview preparation, and clearer positioning for data engineering, data analyst, and data science-adjacent roles. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience · Please check below links: · Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ · · please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ If you want to build the systems behind modern data teams, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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