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Entry Level Cloud Data Analyst Jobs (NOW HIRING)

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 ...

New

Tata Consultancy Service Limited

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 ...

KSA Integration

AI Data Analyst, Journeyman

Stafford, VA · On-site

$100K - $120K/yr

The AI Data Analyst performs data preparation, scripting, query automation, and model execution in ... Experience with cloud data platforms (e.g., Databricks) and data pipeline development.

Procter & Gamble

Data Analyst

Mason, OH · On-site +1

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform ... Programming skills (Python, R), knowledge of cloud computing platforms, domain knowledge in ...

Pinnacle Home Care

Junior Data Analyst

Oldsmar, FL · On-site

Junior Data Analyst Are you looking to make a difference in patients' lives with a company that ... Experience with Snowflake or another cloud data platform preferred. * Experience working with REST ...

New

Booz Allen Hamilton

Data Analyst

Arlington, VA · On-site

R0246112 Data Analyst The Opportunity: As an analytics professional, you love diving into data and ... Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform ...

Jobsultant Solutions

Data Analyst

Charlotte, NC

Analyze large scale complex business data (time series data, structured/unstructured) from various ... cloud computing technologies like Microsoft Azure and distributed computing technologies like ...

Jobsultant Solutions

Data Analyst

Atlanta, GA

Analyze large scale complex business data (time series data, structured/unstructured) from various ... cloud computing technologies like Microsoft Azure and distributed computing technologies like ...

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

DATA ANALYST POSITION SUMMARY THIS POSITION IS IN STATE, IN OKLAHOMA CITY. IT IS NOT A REMOTE ... Snowflake or similar cloud data platforms (preferred) * Familiarity with ETL/ELT processes and data ...

Jobcertify

Data Analyst

El Paso, TX

Analyze large scale complex business data (time series data, structured/unstructured) from various ... cloud computing technologies like Microsoft Azure and distributed computing technologies like ...

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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.

Junior Data Analyst

Booz Allen Hamilton

Washington, DC • On-site

$48K - $98K/yr

Other

Medical, Life, Retirement, PTO

Posted 3 days ago

New

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description

Job Number: R0246709
Data Analyst, Junior
The Opportunity:
As an analytics professional, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills to support a mission and use data for good. We need a data analyst like you to bring your knowledge to empower customers to understand data and improve decision-making.
As a client-facing data analyst on our National Security team, you'll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to help find the pieces of their information puzzle. Not only will you extract and evaluate their data, but you'll also help your client interpret the information and recommend how it can be used to make an impact on government decisions and optimizing federal systems.
How You'll Contribute:
As a data analyst on our team, you'll:
  • Use your technical knowledge to support client and stakeholder relationships within the National Security Sector.
  • Research, develop, and test data met hodologies.
  • Generate cross-functional solutions through the collection, analysis, modeling, and visualization of large data sets.
  • Contribute to impactful work and guide decision-making across multiple organizations.
  • Apply your data skills and analytical mindset by simplifying technical requirements and trends, based on audience.
  • Present data findings and recommendations to clients and stakeholders using your knowledge of data analysis and visualization tools such as Tableau, Power BI, Python, and R.
  • Establish quantitative and qualitative met rics and key performance indicators to drive technical outcomes.
  • Apply data visualization insights through different formats such as graphs, tables, and PowerPoint slides.
  • Grow your communication and technical skills by creating data-centric solutions across the National Security Sector.

Work with us to help drive large-scale business and process decisions through data insights.
Join us. The world can't wait.
You Have:
  • Experience synthesizing structured and unstructured data, developing data met hodologies, and building data-driven solutions to support client decision-making
  • Experience leveraging Python for data manipulation and analysis
  • Experience creating interactive dashboards and visualizations using tools such as Tableau, Power BI, or R
  • Knowledge of data analytics concepts, quantitative and qualitative met ric or KPI development, and best practices for converting complex data sets into clear graphs, tables, and presentation materials
  • Ability to lead client briefings, facilitate interactive data workshops, and adapt quickly to shifting client priorities and complex mission problems
  • Ability to obtain a Secret clearance
  • Bachelor's degree in Data Analytics, Statistics, CS, Information Systems, or Mathematics

Nice If You Have:
  • Experience with scripting tools such as Python or PowerShell
  • 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, Analytics, Data Science, or a related technical field
  • Tableau Certified Data Analyst, Micro sof t Certified: Power BI Data Analyst Asso cia te, or AWS Certified Data Analytics Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information .
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $48,000.00 to $98,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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