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Entry Level Cloud Data Analyst Jobs (NOW HIRING)

Data Analyst

Sandy Springs, GA · Remote

$70K - $80K/yr

The Data Analyst will work heavily within modern cloud and integration environments, ensuring data is accurate, scalable, timely, and easy for teams to use in decision-making. If you enjoy blending ...

Data Analyst

Sandy Springs, GA · On-site

$70K - $80K/yr

The Data Analyst will work heavily within modern cloud and integration environments, ensuring data is accurate, scalable, timely, and easy for teams to use in decision-making. If you enjoy blending ...

Data Analyst

Sandy Springs, GA · Remote

$70K - $80K/yr

The Data Analyst will work heavily within modern cloud and integration environments, ensuring data is accurate, scalable, timely, and easy for teams to use in decision-making. If you enjoy blending ...

Cloud Data Engineer

Southlake, TX · On-site

$32.79 - $67.07/hr

As a Data Engineer (Level 55), you will contribute directly to the development and optimization of data pipelines, data models, and cloud-native processing patterns that power analytics, regulatory ...

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 ...

Cloud Data Engineer

Southlake, TX

$52.50 - $70.25/hr

Cloud Data Engineering Engineer solutions using key GCP services, including Cloud Storage, Cloud ... Strong analytical and problem‑solving skills with the ability to work independently and within a ...

Strong SQL experience Hands-on experience with Google BigQuery or similar cloud data warehouse Experience analyzing large, complex dataset Strong documentation skills related to data definitions ...

PR · On-site

$45K - $55K/yr

???? 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 ...

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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 Jun 8, 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 are entry level cloud data analysts?

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, and why are they important?

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.
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 May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Data Analyst

Data Analyst

Quanta Services

Sandy Springs, GA • Remote

$70K - $80K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

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


Quanta Services rating

7.2

Company rating: 7.2 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

44th of 78 rated construction


Job description

A proud member of the Quanta Services family of companies, Ampacity, LLC (Ampacity) delivers a forward-thinking approach to structural and electrical solutions for clean energy transition projects. From design, kitting, and installation to comprehensive electrical procurement, Ampacity specializes in expert-engineered, field-ready solutions that accelerate project timelines and maximize impact. Made up of more than 350 passionate professionals committed to simplifying complexity across the energy value chain, Ampacity empowers customers to build smarter, faster, and more efficiently­—with the most reliable technology in the industry. Headquartered in California, Ampacity maintains facilities in Mississippi, Kentucky, and Iowa, with offices in Florida, Georgia, and Vermont. Since 2014, Ampacity has delivered nearly eight gigawatts of fully engineered clean energy systems across North America.


The Data Analyst at Ampacity is a technology-focused role responsible for building trusted reporting, analytics, and data assets that support multiple business functions. This position partners with stakeholders to translate business needs into well-defined data requirements, then delivers high-quality dashboards, automated reporting, and actionable analysis. The Data Analyst will work heavily within modern cloud and integration environments, ensuring data is accurate, scalable, timely, and easy for teams to use in decision-making.

If you enjoy blending data, technology, and business impact, this role is a great fit. As a Data Analyst, you’ll help teams across various departments make faster, better decisions by building reliable reporting and insights. You’ll work with cloud data tools and integrations, connect data across business systems and APIs, and create dashboards that leaders trust. You’ll have the chance to improve how the organization measures performance, reduce manual reporting effort, and expand analytics capabilities over time.


Pay Range: $70,000 - $80,000


  • Serve as a technology-forward analytics partner, turning questions and pain points into scalable data solutions.
  • Build and maintain Power BI dashboards, semantic models, and automated reporting that drive operational and financial visibility.
  • Use SQL to query, validate, and reconcile data from multiple sources, ensuring consistency and accuracy across reporting outputs.
  • Support and validate data pipelines and integrations across cloud data platforms, ERP data, and third-party systems connected via APIs.
  • Standardize and document KPI definitions, dataset logic, and reporting
  • methodology to create a reliable “single source of thruth"
  • Develop, enhance, and maintain Power BI reports (executive scorecards, operational dashboards, drill-through analysis, and self-service reporting views).
  • Write and optimize SQL queries for analysis, reporting datasets, and data validation/reconciliation.
  • Partner with key departmental stakeholders to gather requirements, clarify definitions, and prioritize reporting
  • Work with cloud data services (e.g., storage, orchestration, and analytics tooling) to support data ingestion, transformation, and refresh cadence.
  • Assist with data integration validation using an integration platform (iPaaS), including testing and troubleshooting data issues end-to-end.
  • Perform ad-hoc analysis and investigation work (variance explanations, trend drivers, exception reporting) and translate findings into clear
  • Create and maintain documentation for metrics, data sources, refresh logic, and dashboard usage.
  • This role will evolve over time as business needs change.

 


  • Proficiency in SQL and Python (or R); advanced Excel skills required
  • 2+ years building Power BI dashboards and automated reports using DAX, Power Query, and SQL
  • Experience building ETL/ELT pipelines and integrating data via APIs and cross-system connections
  • Strong analytical skills: forecasting, trend analysis, data mining, and anomaly detection
  • Excellent communication skills—translating business needs into technical solutions and presenting insights to non-technical stakeholders
  • Nice to have: Familiarity with Azure data services such as Azure Blob Storage and Azure Data Factory (or similar cloud ETL/storage tools)

  • Competitive pay and 401k — because your work should be rewarded fairly
  • Time off you'll actually use: vacation, sick days, holidays, parental, and bereavement leave
  • Full medical, dental, and vision coverage, plus extra support when you need it
  • Wellness resources to help you show up as your best self, at work and at home
  • Real room to grow — we promote from within and invest in your development

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, national origin or ancestry, sex (including gender, pregnancy, sexual orientation, and/or gender identity), age, disability, genetic information, veteran status, and/or any other basis protected by applicable federal, state or local law.
We are an Equal Opportunity Employer, including disability and protected veteran status.
We prohibit all types of discrimination and are committed to providing access and equal opportunity for individuals with disabilities. For additional information or if reasonable accommodation is needed to participate in the job application, interview, or hiring processes or to perform the essential functions of a position, please contact us the Company’s Human Resources department.


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