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Entry Level Cloud Data Analyst Jobs in Washington

Parsons

Cloud Data Engineer

Falls Church, VA · On-site

$112K - $196K/yr

You'll help design and support cloud-based data pipelines, APIs, and modern data platforms that power advanced analytics and automation for mission-focused programs. This is an implementation-focused ...

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OpenDataJobs

Data Analyst Role

Washington, DC · On-site

The work Data Analysts make operational data answerable. They work with stakeholders to define ... semantic-modeling languages, cloud data warehouses, statistical tools, source systems ...

OpenDataJobs

Data Analyst Role

Washington, DC · On-site

The work Data Analysts make operational data answerable. They work with stakeholders to define ... semantic-modeling languages, cloud data warehouses, statistical tools, source systems ...

Booz Allen Hamilton

Data Analyst, Junior

Washington, DC

$48K - $98K/yr

Knowledge of database querying such as SQL, cloud data platforms such as AWS, Azure, and Snowflake, or basic statistical modeling techniques * Secret clearance * Master's degree in Data Analytics ...

Booz Allen Hamilton

Junior Data Analyst

Washington, DC · On-site

$48K - $98K/yr

Knowledge of database querying such as SQL, cloud data platforms such as AWS, Azure, and Snowflake, or basic statistical modeling techniques * Secret clearance * Master's degree in Data Analytics ...

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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 are the most commonly searched types of Cloud Data Analyst jobs in Washington?

The most popular types of Cloud Data Analyst jobs in Washington are:

What are popular job titles related to Entry Level Cloud Data Analyst jobs in Washington?

For Entry Level Cloud Data Analyst jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Entry Level Cloud Data Analyst jobs in Washington look for?

The top searched job categories for Entry Level Cloud Data Analyst jobs in Washington are:

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

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

Entry Level Cloud Data Analyst jobs near you

Senior Mortgage Data Analyst - Data Transformation

Omm IT Solutions

Mclean, VA • On-site

$87K - $110K/yr

Contractor

Re-posted 2 days ago

Job description

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\n PLEASE NOTE:<\/b><\/span><\/span><\/u>
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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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