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Entry Level Cloud Data Analyst Jobs in Virginia (NOW HIRING)

Ignite Digital is seeking a missiondriven Data Analyst to support a US Navy data analytics, cloud management, and IT modernization program in the Norfolk, VA area. This role directly contributes to ...

Sr. Analyst, Retail Data Strategy

Richmond, VA · On-site

$85K - $107K/yr

About The Team The Retail & Human Resources Strategy team is a world-class community of analysts ... Experience with Snowflake or a similar cloud data warehouse platform * Experience implementing data ...

Sr. Analyst, Retail Data Strategy

Richmond, VA · On-site

$85K - $107K/yr

About The Team The Retail & Human Resources Strategy team is a world-class community of analysts ... Experience with Snowflake or a similar cloud data warehouse platform * Experience implementing data ...

About The Team The Retail & Human Resources Strategy team is a world-class community of analysts ... Experience with Snowflake or a similar cloud data warehouse platform * Experience implementing data ...

Junior AI/ML Strategist

Arlington, VA · Hybrid

$98K - $163K/yr

Data & Process Analysis: Gather, analyze, and interpret data pipelines to identify process ... Security+, AWS Certified Cloud Practitioner, or equivalent entry-level cloud/cyber credentials.

Data Analyst

Alexandria, VA · On-site

$62K - $85K/yr

This position is a great entry-level opportunity for new graduates who want hands-on dynamic ... data analytics, robotics, and machine learning. • Ability to take and apply training in data ...

Senior Data Analyst

Mclean, VA · Hybrid

$86K - $109K/yr

As a Data Analyst, You Will: * Work with business owners, technical SMEs, and product owners to ... Experience supporting cloud migration or file integration programs * Familiarity with AWS ...

New

Sr Data Analyst

Reston, VA · On-site

$89K - $112K/yr

Knowledge of marketing data sets like Google Analytics, Social Media Platforms, Salesforce, Marketing Cloud and Customer Data Platforms.

DATA ENGINEER

Virginia Beach, VA · On-site

$101K - $121K/yr

Support healthcare data ingestion and transformation * Assist in maintaining data warehouses and cloud platforms * Perform data quality checks and validations * Collaborate with BI and analytics ...

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Entry Level Cloud Data Analyst information

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.
What are the most commonly searched types of Cloud Data Analyst jobs in Virginia? The most popular types of Cloud Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Cloud Data Analyst jobs? Cities in Virginia with the most Entry Level Cloud Data Analyst job openings:

Senior Mortgage Data Analyst - Data Transformation

Omm IT Solutions

Mclean, VA

$87K - $110K/yr

Contractor

Posted 23 days ago


Job description

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  • IT IS 100% on site position in McLean, VA.<\/b><\/span><\/span><\/span>
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    \n KEY REQUIRED SKILLS:<\/b><\/span><\/span><\/u>
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    • Data lineage, data mapping, business process analysis, Cloud Data Platform<\/span><\/span><\/span>
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      \n DESCRIPTION:<\/b><\/u>
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      \n We are seeking an experienced Senior Mortgage Data Analyst - Data Transformation to support a large\-scale enterprise data transformation initiative for a leading financial services organization. In this role, you will serve as the bridge between business stakeholders and technical teams, ensuring business requirements are accurately translated into scalable, cloud\-based data solutions. A key role in data analysis, business process optimization, requirements definition, stakeholder collaboration, and ensuring high\-quality delivery throughout the project lifecycle.

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      \n KEY RESPONSIBILITIES:<\/b><\/span><\/span><\/u>
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      • Perform data lineage analysis, data profiling, and data mapping across enterprise applications and data platforms. <\/span><\/span><\/span>
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      • Analyze legacy data assets and map them to target\-state cloud\-based data architectures.<\/span><\/span><\/span>
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      • Gather, analyze, and document business and functional requirements for enterprise data transformation initiatives.<\/span><\/span><\/span>
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      • Create user stories, business process flows, functional specifications, and acceptance criteria for development teams.<\/span><\/span><\/span>
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      • Partner with business stakeholders, architects, data engineers, and product owners to define business\-aligned data solutions.<\/span><\/span><\/span>
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      • Evaluate event\-driven and entity\-based data models while identifying transformation opportunities and data gaps.<\/span><\/span><\/span>
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      • Support cloud\-based data ingestion and integration initiatives.<\/span><\/span><\/span>
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      • Coordinate User Acceptance Testing (UAT), Quality Assurance (QA), and validation activities.<\/span><\/span><\/span>
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      • Ensure deliverables meet business objectives, quality standards, and project timelines.<\/span><\/span><\/span>
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      • Facilitate stakeholder meetings, manage expectations, and communicate project progress effectively.<\/span><\/span><\/span>
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      • Utilize AI\-powered productivity tools such as Microsoft Copilot, ChatGPT, Claude, or other approved LLMs to improve documentation, analysis, and delivery efficiency.<\/span><\/span><\/span>
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      • Support enterprise data governance initiatives and ensure adherence to organizational data standards.<\/span><\/span><\/span>
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        Requirements<\/h3>\n
        \n REQUIRED QUALIFICATION:<\/b><\/span><\/span><\/u>
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        • Bachelor's degree in Computer Science, Information Systems, Business, Data Analytics, Finance, or a related discipline.<\/span>
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        • 7+ years of Business Analysis experience supporting enterprise data, analytics, or technology transformation programs.<\/span>
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        • Proven experience in data lineage, data profiling, data mapping, and business process analysis.<\/span>
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        • Strong experience gathering and documenting business, functional, and technical requirements.<\/span>
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        • Experience working with cloud\-based data platforms and modern data ingestion architectures.<\/span>
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        • Knowledge of enterprise data architecture, data governance, and data integration concepts.<\/span>
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        • Strong analytical, problem\-solving, and stakeholder management skills.<\/span>
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        • Excellent verbal and written communication skills.<\/span>
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        • Experience working in Agile environments.<\/span><\/span><\/span>
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          • Experience within the secondary mortgage industry.<\/span>
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          • Hands\-on experience with cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud Platform.<\/span>
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          • Experience with enterprise data modernization and legacy system transformation projects.<\/span>
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          • Experience using Azure DevOps, Jira, or similar Agile project management tools.<\/span>
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          • Familiarity with AI\-assisted business analysis tools including Microsoft Copilot, ChatGPT, and Claude.<\/span>
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          • Professional certifications such as CBAP, PMI\-PBA, Scrum, or Agile certifications are a plus.<\/span>
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